Publications of Boris Koldehofe

[Full list of publications]

Recent Publications

1. AQuA-CEP: Adaptive Quality-Aware Complex Event Processing in the Internet of Things (M. Lotfian Delouee, B. Koldehofe and V. Degeler), In Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems (DEBS 2023), ACM press, 2023.

   Abstract

   Sensory data profoundly influences the quality of detected events in a distributed complex event processing system (DCEP). Since each sensor’s status is unstable at runtime, a single sensing assignment is often insufficient to fulfill the consumer’s quality requirements. In this paper, we study in the context of AQuA-CEP the problem of dynamic quality monitoring and adaptation of complex event processing by active integration of suitable data sources. To support this, in AQuA-CEP, queries to detect complex events are supplemented with consumer-definable quality policies that are evaluated and used to autonomously select (or even configure) suitable data sources of the sensing infrastructure. In addition, we studied different forms of expressing quality policies and analyzed how it affects the quality monitoring process. Various modes of evaluating and applying quality-related adaptations and their impacts on correlation efficiency are addressed, too. We assessed the performance of AQuA-CEP in IoT scenarios by utilizing the notion of the quality policy alongside the query processing adaptation using knowledge derived from quality monitoring. The results show that AQuA-CEP can improve the performance of DCEP systems in terms of the quality of results while fulfilling the consumer’s quality requirements. Quality-based adaptation can also increase the network’s lifetime by optimizing the sensor’s energy consumption due to efficient data source selection.

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   BibTeX

   
   @inproceedings{LotfianDelouee2023:DEBS, title = "AQuA-CEP: Adaptive Quality-Aware Complex Event Processing in the Internet of Things", abstract = "Sensory data profoundly influences the quality of detected events in a distributed complex event processing system (DCEP). Since each sensor’s status is unstable at runtime, a single sensing assignment is often insufficient to fulfill the consumer’s quality requirements. In this paper, we study in the context of AQuA-CEP the problem of dynamic quality monitoring and adaptation of complex event processing by active integration of suitable data sources. To support this, in AQuA-CEP, queries to detect complex events are supplemented with consumer-definable quality policies that are evaluated and used to autonomously select (or even configure) suitable data sources of the sensing infrastructure. In addition, we studied different forms of expressing quality policies and analyzed how it affects the quality monitoring process. Various modes of evaluating and applying quality-related adaptations and their impacts on correlation efficiency are addressed, too. We assessed the performance of AQuA-CEP in IoT scenarios by utilizing the notion of the quality policy alongside the query processing adaptation using knowledge derived from quality monitoring. The results show that AQuA-CEP can improve the performance of DCEP systems in terms of the quality of results while fulfilling the consumer’s quality requirements. Quality-based adaptation can also increase the network’s lifetime by optimizing the sensor’s energy consumption due to efficient data source selection.", author = "M. {Lotfian Delouee} and B. Koldehofe and V. Degeler", year = "2023", month = June, day = "27", language = "English", booktitle = {Proceedings of the 17th {ACM} International Conference on Distributed and Event-Based Systems (DEBS 2023)}, url = "https://research.rug.nl/en/publications/aqua-cep-adaptive-quality-aware-complex-event-processing-in-the-i", publisher = "{ACM press}" }

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2. On Memristors for Enabling Energy Efficient and Enhanced Cognitive Network Functions (S. Saleh and B. Koldehofe), In IEEE Access, IEEE, volume 10, 2022.

   Abstract

   The high performance requirements of nowadays computer networks are limiting their ability to support important requirements of the future. Two important properties essential in assuring cost-efficient computer networks and supporting new challenging network scenarios are operating energy efficient and supporting cognitive computational models. These requirements are hard to fulfill without challenging the current architecture behind network packet processing elements such as routers and switches. Notably, these are currently dominated by the use of traditional transistor-based components. In this article, we contribute with an in-depth analysis of alternative architectural design decisions to improve the energy footprint and computational capabilities of future network packet processors by shifting from transistor-based components to a novel component named Memristor . A memristor is a computational component characterized by non-volatile operations on a physical state, mostly represented in form of (electrical) resistance. Its state can be read or altered by input signals, e.g. electrical pulses, where the future state always depends on the past state. Unlike in traditional von Neumann architectures, the principles behind memristors impose that memory operations and computations are inherently colocated. In combination with the non-volatility, this allows to build memristors at nanoscale size and significantly reduce the energy consumption. At the same time, memristors appear to be highly suitable to model cognitive functionality due to the state dependence transitions in the memristor. In cognitive architectures, our survey contributes to the study of memristor-based Ternary Content Addressable Memory (TCAM) used for storage of cognitive rules inside packet processors. Moreover, we analyze the memristor-based novel cognitive computational architectures built upon self-learning capabilities by harnessing from non-volatility and state-based response of memristors (including reconfigurable architectures, reservoir computation architectures, neural network architectures and neuromorphic computing architectures).

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   BibTeX

   
   @Article{saleh2022:access, title = {On Memristors for Enabling Energy Efficient and Enhanced Cognitive Network Functions}, abstract = {The high performance requirements of nowadays computer networks are limiting their ability to support important requirements of the future. Two important properties essential in assuring cost-efficient computer networks and supporting new challenging network scenarios are operating energy efficient and supporting cognitive computational models. These requirements are hard to fulfill without challenging the current architecture behind network packet processing elements such as routers and switches. Notably, these are currently dominated by the use of traditional transistor-based components. In this article, we contribute with an in-depth analysis of alternative architectural design decisions to improve the energy footprint and computational capabilities of future network packet processors by shifting from transistor-based components to a novel component named Memristor . A memristor is a computational component characterized by non-volatile operations on a physical state, mostly represented in form of (electrical) resistance. Its state can be read or altered by input signals, e.g. electrical pulses, where the future state always depends on the past state. Unlike in traditional von Neumann architectures, the principles behind memristors impose that memory operations and computations are inherently colocated. In combination with the non-volatility, this allows to build memristors at nanoscale size and significantly reduce the energy consumption. At the same time, memristors appear to be highly suitable to model cognitive functionality due to the state dependence transitions in the memristor. In cognitive architectures, our survey contributes to the study of memristor-based Ternary Content Addressable Memory (TCAM) used for storage of cognitive rules inside packet processors. Moreover, we analyze the memristor-based novel cognitive computational architectures built upon self-learning capabilities by harnessing from non-volatility and state-based response of memristors (including reconfigurable architectures, reservoir computation architectures, neural network architectures and neuromorphic computing architectures).}, author = {S. Saleh and B. Koldehofe}, journal = {IEEE Access}, publisher = {IEEE}, year = {2022}, month = {dec}, day = {2}, volume = {10}, pages = {129279-129312}, language = {English}, doi = {10.1109/ACCESS.2022.3226447}, url = {https://research.rug.nl/en/publications/on-memristors-for-enabling-energy-efficient-and-enhanced-cognitiv}, }

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3. Network Testing Utilizing ProgrammableNetworking Hardware. (R. Kundel, F. Siegmund, R. Hark, A. Rizk and B. Koldehofe), In IEEE Communications Magazine, IEEE, 2022.

   BibTeX

   
   @Article{Kundel2022:ComMag, author = {R. Kundel and F. Siegmund and R. Hark and A. Rizk and B. Koldehofe}, journal = {IEEE Communications Magazine}, title = {Network Testing Utilizing ProgrammableNetworking Hardware.}, year = {2022}, pages = {7 pages}, publisher = {IEEE}, url = {https://research.rug.nl/en/publications/network-testing-utilizing-programmable-networking-hardware} }

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4. Towards adaptive quality-aware Complex Event Processing in the Internet of Things (M. Lotfian Delouee, B. Koldehofe and V. Degeler), In Proceedings of the 18th International Conference on Mobility, Sensing and Networking (MSN 2022), IEEE, 2022.

   Abstract

   This paper investigates how to complement Complex Event Processing (CEP) with dynamic quality monitoring mechanisms and support the dynamic integration of suitable sensory data sources. In the proposed approach, queries to detect complex events are annotated with consumer-definable quality policies that are evaluated and used to autonomously assign (or even configure) suitable data sources of the sensing infrastructure. We present and study different forms of expressing quality policies and explore how they affect the process of quality monitoring including different modes of assessing and applying quality-related adaptations. A performance study in an IoT scenario shows that the proposed mechanisms in supporting quality policy monitoring and adaptively selecting suitable data sources succeed in enhancing the acquired quality of results while fulfilling consumers' quality requirements. We show that the quality-based selection of sensor sources also extends the network's lifetime by optimizing the data sources' energy consumption.

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   BibTeX

   
   @inproceedings{LotfianDelouee2022:MSN, title = "Towards adaptive quality-aware Complex Event Processing in the Internet of Things", abstract = "This paper investigates how to complement Complex Event Processing (CEP) with dynamic quality monitoring mechanisms and support the dynamic integration of suitable sensory data sources. In the proposed approach, queries to detect complex events are annotated with consumer-definable quality policies that are evaluated and used to autonomously assign (or even configure) suitable data sources of the sensing infrastructure. We present and study different forms of expressing quality policies and explore how they affect the process of quality monitoring including different modes of assessing and applying quality-related adaptations. A performance study in an IoT scenario shows that the proposed mechanisms in supporting quality policy monitoring and adaptively selecting suitable data sources succeed in enhancing the acquired quality of results while fulfilling consumers' quality requirements. We show that the quality-based selection of sensor sources also extends the network's lifetime by optimizing the data sources' energy consumption.", author = " M. {Lotfian Delouee} and B. Koldehofe and V. Degeler", year = "2022", month = dec, day = "14", language = "English", booktitle = "Proceedings of the 18th International Conference on Mobility, Sensing and Networking (MSN 2022)", publisher = "IEEE", url = "https://research.rug.nl/en/publications/towards-adaptive-quality-aware-complex-event-processing-in-the-in" }

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5. TCAmMCogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing (S. Saleh, A. S. Goossens, T. Banerjee and B. Koldehofe), In Proceedings of the 7th International Conference on Rebooting Computing (ICRC 2022), IEEE, 2022.

   Abstract

   The Internet relies heavily on programmable match-action processors for matching network packets against locally available network rules and taking actions, such as forwarding and modification of network packets. This match-action process must be performed at high speed, i.e., commonly within one clock cycle, using a specialized memory unit called Ternary Content Addressable Memory (TCAM). Building on transistor-based CMOS designs, state-of-the-art TCAM architectures have high energy consumption and lack resilient designs for incorporating novel technologies for performing appropriate actions. In this article, we motivate the use of a novel fundamental component, the ‘Memristor’, for the development of TCAM architecture for match-action processing. Memristors can provide energy efficiency, non-volatility and better resource density as compared to transistors. We have proposed a novel memristor-based TCAM architecture called TCAmMCogniGron, built upon the voltage divider principle and requiring only two memristors and five transistors for storage and search operations compared to sixteen transistors in the traditional TCAM architecture. We analyzed its performance over an experimental data set of Nb-doped SrTiO3-based memristor. The analysis of TCAmMCogniGron showed promising power consumption statistics of 16 uW and 1 uW for match and mismatch operations along with twice the improvement in resources density as compared to the traditional architectures.

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   BibTeX

   
   @InProceedings{saleh2022:icrc, title = {{TCAmM}{CogniGron}: {E}nergy {E}fficient {M}emristor-{B}ased {TCAM} for {M}atch-{A}ction {P}rocessing}, abstract = {The Internet relies heavily on programmable match-action processors for matching network packets against locally available network rules and taking actions, such as forwarding and modification of network packets. This match-action process must be performed at high speed, i.e., commonly within one clock cycle, using a specialized memory unit called Ternary Content Addressable Memory (TCAM). Building on transistor-based CMOS designs, state-of-the-art TCAM architectures have high energy consumption and lack resilient designs for incorporating novel technologies for performing appropriate actions. In this article, we motivate the use of a novel fundamental component, the ‘Memristor’, for the development of TCAM architecture for match-action processing. Memristors can provide energy efficiency, non-volatility and better resource density as compared to transistors. We have proposed a novel memristor-based TCAM architecture called TCAmMCogniGron, built upon the voltage divider principle and requiring only two memristors and five transistors for storage and search operations compared to sixteen transistors in the traditional TCAM architecture. We analyzed its performance over an experimental data set of Nb-doped SrTiO3-based memristor. The analysis of TCAmMCogniGron showed promising power consumption statistics of 16 uW and 1 uW for match and mismatch operations along with twice the improvement in resources density as compared to the traditional architectures.}, author = {S. Saleh and A. S. Goossens and T. Banerjee and B. Koldehofe}, booktitle = {Proceedings of the 7th International Conference on Rebooting Computing (ICRC 2022)}, publisher = {IEEE}, year = {2022}, month = {dec}, language = {English}, doi = {10.1109/ICRC57508.2022.00013}, url = {https://research.rug.nl/en/publications/tcaimimsupcognigronsup-energy-efficient-memristor-based-tcam-for-}, }

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6. Towards Energy Efficient Memristor-based TCAM for Match-Action Processing (S. Saleh, A. S. Goossens, T. Banerjee and B. Koldehofe), In Proceedings of the 13th International Green and Sustainable Computing Conference (IGSC 2022), IEEE, 2022.

   Abstract

   Match-action processors play a crucial role of communicating end-users in the Internet by computing network paths and enforcing administrator policies. The computation process uses a specialized memory called Ternary Content Addressable Memory (TCAM) to store processing rules and use header information of network packets to perform a match within a single clock cycle. Currently, TCAM memories consume huge amounts of energy resources due to the use of traditional transistor-based CMOS technology. In this article, we motivate the use of a novel component, the memristor, for the development of a TCAM architecture. Memristors can provide energy efficiency, non-volatility, and better resource density as compared to transistors. We have proposed a novel memristor-based TCAM architecture built upon the voltage divider principle for energy efficient match-action processing. Moreover, we have tested the performance of the memristor-based TCAM architecture using the experimental data of a novel Nb-doped SrTiO3 memristor. Energy analysis of the proposed TCAM architecture for given memristor shows promising power consumption statistics of 16 μW for a match operation and 1 μW for a mismatch operation.

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   BibTeX

   
   @InProceedings{saleh2022:igsc, title = {Towards Energy Efficient Memristor-based TCAM for Match-Action Processing}, abstract = {Match-action processors play a crucial role of communicating end-users in the Internet by computing network paths and enforcing administrator policies. The computation process uses a specialized memory called Ternary Content Addressable Memory (TCAM) to store processing rules and use header information of network packets to perform a match within a single clock cycle. Currently, TCAM memories consume huge amounts of energy resources due to the use of traditional transistor-based CMOS technology. In this article, we motivate the use of a novel component, the memristor, for the development of a TCAM architecture. Memristors can provide energy efficiency, non-volatility, and better resource density as compared to transistors. We have proposed a novel memristor-based TCAM architecture built upon the voltage divider principle for energy efficient match-action processing. Moreover, we have tested the performance of the memristor-based TCAM architecture using the experimental data of a novel Nb-doped SrTiO3 memristor. Energy analysis of the proposed TCAM architecture for given memristor shows promising power consumption statistics of 16 μW for a match operation and 1 μW for a mismatch operation.}, author = {S. Saleh and A. S. Goossens and T. Banerjee and B. Koldehofe}, booktitle = {Proceedings of the 13th International Green and Sustainable Computing Conference (IGSC 2022)}, publisher = {IEEE}, year = {2022}, month = {oct}, language = {English}, doi = {10.1109/IGSC55832.2022.9969354}, url = {https://research.rug.nl/en/publications/towards-energy-efficient-memristor-based-tcam-for-match-action-pr} }

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7. Window-based Parallel Operator Execution with In-Network Computing: Proceedings (B. Boughzala, B. Koldehofe and C. Gärtner), In Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems (DEBS '22), ACM New York, NY, USA, 2022.

   Abstract

   Data parallel processing is a key concept to increase the scalability and elasticity in event streaming systems. Often data parallelism is accomplished in a splitter-merger architecture where the splitter divides incoming streams into partitions and forwards them to parallel operator instances. The splitter performance is a limiting factor to the system throughput and the parallelization degree.This work studies how to leverage novel methods of in-network computing to accelerate the splitter functionality by implementing it as an in-network function. While dedicated hardware for in-network computing has a high potential to enhance the splitter performance, in-network programming models like the P4 language are also highly limited in their expressiveness to support corresponding parallelization models. We propose P4SS which supports overlapping and non-overlapping count-based windows for multiple independent data streams and parallelizes them to a dynamically configurable number of operator instances. We validate in the context of a prototypical implementation our splitting strategy and its scalability in terms of switch resource consumption.

   
   Keywords: Data Parallelism, In-network Computing, Load Balancing, Complex Event Processing (CEP), P4 Language, Data Plane Programming

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   BibTeX

   
   @inproceedings{boughzala2022:win, title = "Window-based Parallel Operator Execution with In-Network Computing: Proceedings", abstract = "Data parallel processing is a key concept to increase the scalability and elasticity in event streaming systems. Often data parallelism is accomplished in a splitter-merger architecture where the splitter divides incoming streams into partitions and forwards them to parallel operator instances. The splitter performance is a limiting factor to the system throughput and the parallelization degree.This work studies how to leverage novel methods of in-network computing to accelerate the splitter functionality by implementing it as an in-network function. While dedicated hardware for in-network computing has a high potential to enhance the splitter performance, in-network programming models like the P4 language are also highly limited in their expressiveness to support corresponding parallelization models. We propose P4SS which supports overlapping and non-overlapping count-based windows for multiple independent data streams and parallelizes them to a dynamically configurable number of operator instances. We validate in the context of a prototypical implementation our splitting strategy and its scalability in terms of switch resource consumption.", keywords = "Data Parallelism, In-network Computing, Load Balancing, Complex Event Processing (CEP), P4 Language, Data Plane Programming", author = "B. Boughzala and B. Koldehofe and C. G{\"a}rtner", year = "2022", month = may, day = "26", doi = "10.1145/3524860.3539804", language = "English", booktitle = "Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems (DEBS '22)", publisher = "ACM New York, NY, USA ", note = " The 16th ACM International Conference on Distributed and Event-based Systems (DEBS '22) ; Conference date: 27-06-2022 Through 30-06-2022", }

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8. Enhancing Flexibility for Dynamic Time-Sensitive Network Configurations (C. Gärtner, A. Rizk, B. Koldehofe, R. Guillaume, R. Kundel and R. Steinmetz), In Proceedings of the 3rd KuVS Fachgespräch on Network Softwarization, Universität Tübingen, 2022.

   BibTeX

   
   @InProceedings{Gaertner:FGNetSoft2022, author = {C. Gärtner and A. Rizk and B. Koldehofe and R. Guillaume and R. Kundel and R. Steinmetz}, booktitle = {Proceedings of the 3rd KuVS Fachgespräch on Network Softwarization}, title = {Enhancing Flexibility for Dynamic Time-Sensitive Network Configurations}, year = {2022}, pages = {2 pages}, publisher = {Universität Tübingen}, doi = {10.15496/PUBLIKATION-67440}, }

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9. On the Incremental Reconfiguration of Time-sensitive Networks at Runtime (C. Gärtner, A. Rizk, B. Koldehofe, R. Guillaume, R. Kundel and R. Steinmetz), In Proceedings of the IFIP Networking Conference., IFIP, 2022.

   BibTeX

   
   @InProceedings{Gaertner:Networking2022, author = {C. Gärtner and A. Rizk and B. Koldehofe and R. Guillaume and R. Kundel and R. Steinmetz}, booktitle = {Proceedings of the IFIP Networking Conference.}, title = {On the Incremental Reconfiguration of Time-sensitive Networks at Runtime}, year = {2022}, pages = {9 pages}, publisher = {IFIP}, }

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10. Travel light: state shedding for efficient operator migration (E. Volnes, T. Plagemann, B. Koldehofe and V. Goebel), In Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems (DEBS'22), ACM press, 2022.

    BibTeX

    
    @InProceedings{Volnes:DEBS2022, author = {E. Volnes and T. Plagemann and B. Koldehofe and V. Goebel}, booktitle = {Proceedings of the 16th {ACM} International Conference on Distributed and Event-Based Systems ({DEBS'22})}, title = {Travel light: state shedding for efficient operator migration}, year = {2022}, pages = {79--84}, publisher = {{ACM press}}, doi = {10.1145/3524860.3539638}, }

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11. FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees (K. Razavi, M. Luthra, B. Koldehofe, M. Mühlhäuser and L. Wang), In Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2022), IEEE, 2022.

    BibTeX

    
    @InProceedings{Razavi:FA2_2022, author = {K. Razavi and M. Luthra and B. Koldehofe and M. Mühlhäuser and L. Wang}, booktitle = {Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2022)}, title = {{FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees}}, year = {2022}, pages = {14 pages}, publisher = {IEEE}, }

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12. PANDA: performance prediction for parallel and dynamic stream processing (P. Agnihotri, B. Koldehofe, C. Binnig and M. Luthra), In Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems, ACM press, 2022.

    BibTeX

    
    @InProceedings{Agnihotri:DEBS2022, author = {P. Agnihotri and B. Koldehofe and C. Binnig and M. Luthra}, booktitle = {Proceedings of the 16th {ACM} International Conference on Distributed and Event-Based Systems}, title = {{PANDA}: performance prediction for parallel and dynamic stream processing}, year = {2022}, pages = {180--181}, publisher = {{ACM press}}, doi = {10.1145/3524860.3543281}, }

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13. Using Memristors for Energy Efficient Cognitive Network Functions (S. Saleh, A. S. Goossens, T. Banerjee and B. Koldehofe), In Symposium on Physics of Information in Matter [Poster Session], AMOLF, 2022.

    BibTeX

    
    @conference{saleh2022:amolf, title = {{U}sing {M}emristors for {E}nergy {E}fficient {C}ognitive {N}etwork {F}unctions}, author = {S. Saleh and A. S. Goossens and T. Banerjee and B. Koldehofe}, booktitle = {Symposium on Physics of Information in Matter [Poster Session]}, publisher = {AMOLF}, year = {2022}, month = {nov}, url = "https://research.rug.nl/en/publications/using-memristors-for-energy-efficient-cognitive-network-functions", }

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14. In-Network Computing Over Memristor-Based Cognitive Network Functions (S. Saleh, A. S. Goossens, T. Banerjee and B. Koldehofe), In Brain-Inspired Concepts and Materials for Information Processing (Brainspiration) Conference [Poster Session], University of Twente, 2022.

    BibTeX

    
    @conference{saleh2022:brainspiration, title = "{I}n-{N}etwork {C}omputing {O}ver {M}emristor-{B}ased {C}ognitive {N}etwork {F}unctions", author = "S. Saleh and A. S. Goossens and T. Banerjee and B. Koldehofe", booktitle = {Brain-Inspired Concepts and Materials for Information Processing (Brainspiration) Conference [Poster Session]}, publisher = {University of Twente}, year = "2022", month = 10, language = "English", url = "https://research.rug.nl/en/publications/in-network-computing-over-memristor-based-cognitive-network-funct", }

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15. Memristor-Based Cognitive Network Packet Processors (S. Saleh and B. Koldehofe), In Neuromorphic Computing Netherlands (NCN 2022) Workshop [Abstracts, Talks and Posters], Radboud University, 2022.

    BibTeX

    
    @conference{saleh2022:ncn, title = {{M}emristor-{B}ased {C}ognitive {N}etwork {P}acket {P}rocessors}, author = {S. Saleh and B. Koldehofe}, booktitle = {Neuromorphic Computing Netherlands (NCN 2022) Workshop [Abstracts, Talks and Posters]}, publisher = {Radboud University}, year = {2022}, month = {sep}, language = "English", url = {https://research.rug.nl/en/publications/memristor-based-cognitive-network-packet-processors}, }

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16. Memristor-Based Cognitive and Energy Efficient In-Network Processing (S. Saleh, A. S. Goossens, T. Banerjee and B. Koldehofe), In Workshop on Bio-Inspired Information Pathways [Abstracts and Posters], CRC-1461 Neurotronics, University of Kiel, 2022.

    BibTeX

    
    @conference{saleh2022:crc, title = {Memristor-Based Cognitive and Energy Efficient In-Network Processing}, author = {S. Saleh and A. S. Goossens and T. Banerjee and B. Koldehofe}, booktitle = {Workshop on Bio-Inspired Information Pathways [Abstracts and Posters]}, publisher = {CRC-1461 Neurotronics, University of Kiel}, year = {2022}, month = {sep}, url = {https://research.rug.nl/en/publications/memristor-based-cognitive-and-energy-efficient-in-network-process}, }

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17. TCEP: Transitions in Operator Placement to Adapt to Dynamic Network Environments. (M. Luthra, B. Koldehofe, N. Danger, P. Weisenburger, G. Salvaneschi and I. Stavrakakis.), In In Journal of Computer and Systems Sciences (JCSS), Special Issue on Algorithmic Theory of Dynamic Networks and its Applications., Elsevier, volume 122, 2021.

    BibTeX

    
    @Article{Luthra2021:JCSS, author = {M. Luthra and B. Koldehofe and N. Danger and P. Weisenburger and G. Salvaneschi and I. Stavrakakis.}, journal = {In Journal of Computer and Systems Sciences (JCSS), Special Issue on Algorithmic Theory of Dynamic Networks and its Applications.}, title = {{TCEP}: Transitions in Operator Placement to Adapt to Dynamic Network Environments.}, year = {2021}, pages = {94--125}, volume = {122}, doi = {10.1016/j.jcss.2021.05.003}, url = {https://doi.org/10.1016/j.jcss.2021.05.003}, publisher = {Elsevier}, }

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18. OpenBNG: Central office network functions on programmable data plane hardware (R. Kundel, L. Nobach, J. Blendin, W. Maas, A. Zimber, H. Kolbe, G. Schyguda, V. Gurevich, R. Hark, B. Koldehofe and R. Steinmetz), In International Journal of Network Management, Wiley, volume 31, 2021.

    BibTeX

    
    @Article{Kundel2021:openbng, author = {R. Kundel and L. Nobach and J. Blendin and W. Maas and A. Zimber and H. Kolbe and G. Schyguda and V. Gurevich and R. Hark and B. Koldehofe and R. Steinmetz}, journal = {International Journal of Network Management}, title = {{OpenBNG}: Central office network functions on programmable data plane hardware}, year = {2021}, number = {e2134}, pages = {25 pages}, volume = {31}, doi = {10.1002/nem.2134}, url = {https://doi.org/10.1002/nem.2134}, publisher = {Wiley}, }

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19. Leveraging Flexibility of Time-Sensitive Networks for dynamic Reconfigurability (C. Gärtner, A. Rizk, B. Koldehofe, R. Hark, R. Guillaume and R. Steinmetz), In Proceedings of IFIP Networking 2021, IFIP, 2021.

    BibTeX

    
    @InProceedings{gaertner2021:Networking, author = {C. Gärtner and A. Rizk and B. Koldehofe and R. Hark and R. Guillaume and R. Steinmetz}, booktitle = {Proceedings of IFIP Networking 2021}, title = {Leveraging Flexibility of Time-Sensitive Networks for dynamic Reconfigurability}, year = {2021}, pages = {5 pages}, publisher = {IFIP}, url = {https://dl.ifip.org/db/conf/networking/networking2021/1570714136.pdf} }

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20. Leveraging PIFO Queues for Scheduling in Time-Sensitive Networks (C. Gärtner, A. Rizk, B. Koldehofe, R. Hark, R. Guillaume, R. Kundel and R. Steinmetz), In In the Proceedings of the IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2021)., IEEE, 2021.

    BibTeX

    
    @InProceedings{gaertner2021:LANMAN, author = {C. G\''artner and A. Rizk and B. Koldehofe and R. Hark and R. Guillaume and R. Kundel and R. Steinmetz}, booktitle = {In the Proceedings of the IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2021).}, title = {Leveraging {PIFO} Queues for Scheduling in Time-Sensitive Networks}, year = {2021}, pages = {2 pages}, publisher = {IEEE}, doi = {10.1109/LANMAN52105.2021.9478796}, url = {https://doi.org/10.1109/LANMAN52105.2021.9478796} }

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21. P4-CoDel: Experiences on Programmable Data Plane Hardware (R. Kundel, A. Rizk, J. Blendin, B. Koldehofe, R. Hark and R. Steinmetz), In Proceedings of the IEEE International Conference on Communications (ICC 2021): Next-Generation Networking and Internet Symposium, IEEE, 2021.

    BibTeX

    
    @InProceedings{Kundel:ICC:2021, author = {R. Kundel and A. Rizk and J. Blendin and B. Koldehofe and R. Hark and R. Steinmetz}, booktitle = {Proceedings of the IEEE International Conference on Communications (ICC 2021): Next-Generation Networking and Internet Symposium}, title = {{P4-CoDel}: Experiences on Programmable Data Plane Hardware}, year = {2021}, pages = {6 pages}, publisher = {IEEE}, doi = {10.1109/ICC42927.2021.9500943}, url = {https://doi.org/10.1109/ICC42927.2021.9500943} }

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    urldoi
22. Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming (Y. Alkhalili, J. Weil, A. Tahir, T. Meuser, B. Koldehofe, A. Mauthe, H. Koeppl and R. Steinmetz), In Proceedings of the Conference on Networked Systems 2021 (NetSys 2021), European Association of Software Science and Technology, 2021.

    BibTeX

    
    @InProceedings{Alkhalili2021:Netsys, author = {Y. Alkhalili and J. Weil and A. Tahir and T. Meuser and B. Koldehofe and A. Mauthe and H. Koeppl and R. Steinmetz}, booktitle = {Proceedings of the Conference on Networked Systems 2021 (NetSys 2021)}, title = {Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming}, year = {2021}, pages = {15 pages}, publisher = {European Association of Software Science and Technology}, doi = {10.14279/TUJ.ECEASST.80.1167}, url = {http://dx.doi.org/10.14279/tuj.eceasst.80.1167.1123} }

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    urldoi
23. OpenBNG: Central office network functions on programmable data plane hardware (R. Kundel, L. Nobach, J. Blendin, W. Maas, A. Zimber, H. Kolbe, G. Schyguda, V. Gurevich, R. Hark, B. Koldehofe and R. Steinmetz), In International Journal of Network Management, Wiley, 2020.

    BibTeX

    
    @Article{Kundel:NEM2020:P4BNG, author = {R. Kundel and L. Nobach and J. Blendin and W. Maas and A. Zimber and H. Kolbe and G. Schyguda and V. Gurevich and R. Hark and B. Koldehofe and R. Steinmetz}, title = {{OpenBNG}: Central office network functions on programmable data plane hardware}, journal = {International Journal of Network Management}, year = {2020}, publisher = {Wiley}, pages = {25 pages}, doi = {10.1002/nem.2134}, }

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    doi
24. Grußwort der Gastherausgeber zum Thema Fog Computing (S. Schulte, B. Koldehofe, A. Reinhardt and T. Braun), In Informatik Spektrum, Springer Science and Business Media LLC, volume 42, 2020.

    BibTeX

    
    @Article{InformatikSpektrum:Schulte2020, author = {S. Schulte and B. Koldehofe and A. Reinhardt and T. Braun}, title = {Grußwort der Gastherausgeber zum Thema Fog Computing}, journal = {Informatik Spektrum}, year = {2020}, publisher = {Springer Science and Business Media {LLC}}, pages = {455---456}, volume = {42}, number = {6}, doi = {10.1007/s00287-019-01230-w}, }

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    doi
25. Operator as a Service: Stateful Serverless Complex Event Processing (M. Luthra, S. Hennig, K. Razavi, L. Wang and B. Koldehofe), In Proceedings of the 2020 IEEE International Conference on Big Data, IEEE, 2020.

    BibTeX

    
    @InProceedings{Luthra:SCDM2020:Serverless, author = {M. Luthra and S. Hennig and K. Razavi and L. Wang and B. Koldehofe}, booktitle = {Proceedings of the 2020 IEEE International Conference on Big Data}, title = {Operator as a Service: Stateful Serverless Complex Event Processing}, year = {2020}, pages = {1964--1973}, publisher = {IEEE}, doi = {10.1109/BigData50022.2020.9378142}, }

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    doi
26. Microbursts in Software and Hardware-based Traffic Load Generation (R. Kundel, A. Rizk and B. Koldehofe), In Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2020.

    BibTeX

    
    @InProceedings{Kundel:NOMS2020c:Microbursts, author = {R. Kundel and A. Rizk and B. Koldehofe}, title = {Microbursts in Software and Hardware-based Traffic Load Generation}, booktitle = {Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS)}, year = {2020}, pages = {2 pages}, publisher = {{IEEE}}, doi = {10.1109/noms47738.2020.9110305}, }

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    doi
27. Flexible Content-based Publish/Subscribe over Programmable Data Planes (R. Kundel, C. Gaertner, M. Luthra, S. Bhowmik and B. Koldehofe), In Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2020.

    BibTeX

    
    @InProceedings{Kundel:NOMS2020:p4pubsub, author = {R. Kundel and C. Gaertner and M. Luthra and S. Bhowmik and B. Koldehofe}, booktitle = {Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS)}, title = {Flexible Content-based Publish/Subscribe over Programmable Data Planes}, year = {2020}, pages = {6 pages}, publisher = {IEEE}, doi = {10.1109/NOMS47738.2020.9110381}, }

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    doi
28. P4STA: High Performance Packet Timestamping with Programmable Packet Processors (R. Kundel, F. Siegmund, J. Blendin, A. Rizk and B. Koldehofe), In Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2020.

    BibTeX

    
    @InProceedings{Kundel:NOMS2020:P4STA, author = {R. Kundel and F. Siegmund and J. Blendin and A. Rizk and B. Koldehofe}, title = {{P4STA}: High Performance Packet Timestamping with Programmable Packet Processors}, booktitle = {Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS)}, year = {2020}, pages = {9 pages}, publisher = {IEEE}, doi = {10.1109/NOMS47738.2020.9110290}, }

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    doi