Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance
State-of-the-art solutions for flow scheduling propose the use of Multi Level Feedback Queue (MLFQ) as a mechanism to avoid the requirement of prior information (i.e. agnosticism) regarding flow sizes. This is an important aspect to achieve the performance goals of high responsiveness and high throu...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/6133
- Acceso en línea:
- http://hdl.handle.net/11407/6133
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- http://purl.org/coar/access_right/c_16ec
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Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| title |
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| spellingShingle |
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| title_short |
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| title_full |
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| title_fullStr |
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| title_full_unstemmed |
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| title_sort |
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance |
| description |
State-of-the-art solutions for flow scheduling propose the use of Multi Level Feedback Queue (MLFQ) as a mechanism to avoid the requirement of prior information (i.e. agnosticism) regarding flow sizes. This is an important aspect to achieve the performance goals of high responsiveness and high throughput that is expected in Cloud Applications (e.g. search engines, social networks, and e-commerce sites). These goals are tightly associated with the prioritization of short flows (a few KB in size), the majority for these applications rather than long flows (several MB in size). However, these applications usually cannot provide information in advance about the size of the flows. In this paper, we analyze the feasibility of providing dynamic adjustment for a MLFQ-based scheduling system in such a way that it adapts itself to the time and space variations exhibited by Data Center Network (DCN) traffic without requiring prior information about workload properties. © The author; licensee Universidad Nacional de Colombia. |
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2018 |
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2018 |
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127353 |
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http://hdl.handle.net/11407/6133 |
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127353 10.15446/dyna.v85n206.71626 |
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eng |
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Alizadeh, M., Greenberg, A., Maltz, D.A., Padhye, J., Patel, P., Prabhakar, B., Sengupta, S., Sridharan, M., (2010) Proceedings of the ACM SIGCOMM 2010 Conference, pp. 63-74. , New York, NY, USA Alizadeh, M., Javanmard, A., Prabhakar, B., Analysis of DCTCP: Stability, convergence, and fairness (2011) Proceedings of the ACM SIGMETRICS Joint International Conference on Measurement and Modeling of Computer Systems, pp. 73-84. , New York, NY, USA Alizadeh, M., Kabbani, A., Edsall, T., Prabhakar, B., Vahdat, A., Yasuda, M., Less is more: Trading a little bandwidth for ultra-low latency in the data center (2012) Proceedings of the 9Th USENIX Conference on Networked Systems Design and Implementation, p. 19. , Berkeley, CA, USA Alizadeh, M., Yang, S., Sharif, M., Katti, S., McKeown, N., Prabhakar, B., Shenker, S., PFabric: Minimal near-optimal datacenter transport (2013) Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM, pp. 435-446. , New York, NY, USA Bai, W., Chen, L., Chen, K., Han, D., Tian, C., Wang, H., Information-agnostic flow scheduling for commodity data centers (2015) Proceedings of the 12Th USENIX Conference on Networked Systems Design and Implementation, pp. 455-468. , Berkeley, CA, USA Bai, W., Chen, L., Chen, K., Han, D., Tian, C., Wang, H., PIAS: Practical information-agnostic flow scheduling for commodity data centers (2017) IEEE/ACM Transactions on Networking, 25 (4), pp. 1954-1967 Benson, T., Akella, A., Maltz, D.A., Network traffic characteristics of data centers in the wild (2010) Proceedings of the 10Th ACM SIGCOMM Conference on Internet Measurement, pp. 267-280. , New York, NY, USA Bosshart, P., Daly, D., Gibb, G., Izzard, M., McKeown, N., Rexford, J., Schlesinger, C., Walker, D., P4: Programming protocol-independent packet processors (2014) SIGCOMM Comput. Commun. Rev., 44 (3), pp. 87-95 Chen, L., Chen, K., Bai, W., Alizadeh, M., Scheduling mix-flows in commodity datacenters with Karuna (2016) Proceedings of the 2016 ACM SIGCOMM Conference, pp. 174-187. , New York, NY, USA Corbato, F.J., Merwin-Daggett, M., Daley, R.C., (2001) An Experimental Time-Sharing System. Classic Operating Systems, pp. 117-137. , P.B. Hansen, ed. Springer New York Vojta, L., Mrljak, V., Curkovic, S., Zivicnjak, T., Marinculic, A., Beck, R., Molecular epizootiology of canine hepatozoonosis in Croatia (2009) Int J Parasitol, 39, pp. 1129-1136 Hoganson, K., Brown, J., Intelligent mitigation in multilevel feedback queues (2017) Proceedings of the Southeast Conference, pp. 158-163. , New York, NY, USA Hong, C.-Y., Caesar, M., Godfrey, P.B., Finishing flows quickly with preemptive scheduling (2012) Proceedings of the ACM SIGCOMM 2012 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, pp. 127-138. , New York, NY, USA Joy, S., Nayak, A., Improving flow completion time for short flows in datacenter networks (2015) 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 700-705 Munir, A., Baig, G., Irteza, S.M., Qazi, I.A., Liu, A.X., Dogar, F.R., Friends, not foes: Synthesizing existing transport strategies for data center networks (2014) Proceedings of the 2014 ACM Conference on SIGCOMM, pp. 491-502. , New York, NY, USA Noormohammadpour, M., Raghavendra, C.S., Datacenter traffic control: Understanding techniques and trade-offs (2017) IEEE Communications Surveys Tutorials, 99, p. 1 Pfaff, B., Pettit, J., Koponen, T., Jackson, E.J., Zhou, A., Rajahalme, J., Gross, J., Shelar, P., (2015) The Design and Implementation of Open Vswitch, pp. 117-130. , NSDI Rojas-Cessa, R., Kaymak, Y., Dong, Z., Schemes for fast transmission of flows in data center networks (2015) IEEE Communications Surveys Tutorials, 17 (3), pp. 1391-1422 Roy, A., Zeng, H., Bagga, J., Porter, G., Snoeren, A.C., Inside the social Network’s (Datacenter) Network (2015) Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, pp. 123-137. , New York, NY, USA Sivaraman, A., Cheung, A., Budiu, M., Kim, C., Alizadeh, M., Balakrishnan, H., Varghese, G., Licking, S., Packet transactions: High-level programming for line-rate switches (2016) Proceedings of the 2016 ACM SIGCOMM Conference, pp. 15-28. , New York, NY, USA Sivaraman, A., Kim, C., Krishnamoorthy, R., Dixit, A., Budiu, M., DC.P4: Programming the forwarding plane of a data-center switch (2015) Proceedings of the 1St ACM SIGCOMM Symposium on Software Defined Networking Research, pp. 1-2. , New York, NY, USA Sivaraman, A., Subramanian, S., Alizadeh, M., Chole, S., Chuang, S.T., Agrawal, A., Balakrishnan, H., McKeown, N., Programmable packet scheduling at line rate (2016) Proceedings of the 2016 ACM SIGCOMM Conference, pp. 44-57. , New York, NY, USA |
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Universidad Nacional de Colombia |
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Ingeniería de Telecomunicaciones |
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Facultad de Ingenierías |
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Universidad Nacional de Colombia |
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DYNA (Colombia) |
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Universidad de Medellín |
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Repositorio Institucional Universidad de Medellin |
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20182021-02-05T14:59:54Z2021-02-05T14:59:54Z127353http://hdl.handle.net/11407/613310.15446/dyna.v85n206.71626State-of-the-art solutions for flow scheduling propose the use of Multi Level Feedback Queue (MLFQ) as a mechanism to avoid the requirement of prior information (i.e. agnosticism) regarding flow sizes. This is an important aspect to achieve the performance goals of high responsiveness and high throughput that is expected in Cloud Applications (e.g. search engines, social networks, and e-commerce sites). These goals are tightly associated with the prioritization of short flows (a few KB in size), the majority for these applications rather than long flows (several MB in size). However, these applications usually cannot provide information in advance about the size of the flows. In this paper, we analyze the feasibility of providing dynamic adjustment for a MLFQ-based scheduling system in such a way that it adapts itself to the time and space variations exhibited by Data Center Network (DCN) traffic without requiring prior information about workload properties. © The author; licensee Universidad Nacional de Colombia.engUniversidad Nacional de ColombiaIngeniería de TelecomunicacionesFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060983713&doi=10.15446%2fdyna.v85n206.71626&partnerID=40&md5=ba3f9ff35cb4f1fce912efe75c361d1e852061623Alizadeh, M., Greenberg, A., Maltz, D.A., Padhye, J., Patel, P., Prabhakar, B., Sengupta, S., Sridharan, M., (2010) Proceedings of the ACM SIGCOMM 2010 Conference, pp. 63-74. , New York, NY, USAAlizadeh, M., Javanmard, A., Prabhakar, B., Analysis of DCTCP: Stability, convergence, and fairness (2011) Proceedings of the ACM SIGMETRICS Joint International Conference on Measurement and Modeling of Computer Systems, pp. 73-84. , New York, NY, USAAlizadeh, M., Kabbani, A., Edsall, T., Prabhakar, B., Vahdat, A., Yasuda, M., Less is more: Trading a little bandwidth for ultra-low latency in the data center (2012) Proceedings of the 9Th USENIX Conference on Networked Systems Design and Implementation, p. 19. , Berkeley, CA, USAAlizadeh, M., Yang, S., Sharif, M., Katti, S., McKeown, N., Prabhakar, B., Shenker, S., PFabric: Minimal near-optimal datacenter transport (2013) Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM, pp. 435-446. , New York, NY, USABai, W., Chen, L., Chen, K., Han, D., Tian, C., Wang, H., Information-agnostic flow scheduling for commodity data centers (2015) Proceedings of the 12Th USENIX Conference on Networked Systems Design and Implementation, pp. 455-468. , Berkeley, CA, USABai, W., Chen, L., Chen, K., Han, D., Tian, C., Wang, H., PIAS: Practical information-agnostic flow scheduling for commodity data centers (2017) IEEE/ACM Transactions on Networking, 25 (4), pp. 1954-1967Benson, T., Akella, A., Maltz, D.A., Network traffic characteristics of data centers in the wild (2010) Proceedings of the 10Th ACM SIGCOMM Conference on Internet Measurement, pp. 267-280. , New York, NY, USABosshart, P., Daly, D., Gibb, G., Izzard, M., McKeown, N., Rexford, J., Schlesinger, C., Walker, D., P4: Programming protocol-independent packet processors (2014) SIGCOMM Comput. Commun. Rev., 44 (3), pp. 87-95Chen, L., Chen, K., Bai, W., Alizadeh, M., Scheduling mix-flows in commodity datacenters with Karuna (2016) Proceedings of the 2016 ACM SIGCOMM Conference, pp. 174-187. , New York, NY, USACorbato, F.J., Merwin-Daggett, M., Daley, R.C., (2001) An Experimental Time-Sharing System. Classic Operating Systems, pp. 117-137. , P.B. Hansen, ed. Springer New YorkVojta, L., Mrljak, V., Curkovic, S., Zivicnjak, T., Marinculic, A., Beck, R., Molecular epizootiology of canine hepatozoonosis in Croatia (2009) Int J Parasitol, 39, pp. 1129-1136Hoganson, K., Brown, J., Intelligent mitigation in multilevel feedback queues (2017) Proceedings of the Southeast Conference, pp. 158-163. , New York, NY, USAHong, C.-Y., Caesar, M., Godfrey, P.B., Finishing flows quickly with preemptive scheduling (2012) Proceedings of the ACM SIGCOMM 2012 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, pp. 127-138. , New York, NY, USAJoy, S., Nayak, A., Improving flow completion time for short flows in datacenter networks (2015) 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 700-705Munir, A., Baig, G., Irteza, S.M., Qazi, I.A., Liu, A.X., Dogar, F.R., Friends, not foes: Synthesizing existing transport strategies for data center networks (2014) Proceedings of the 2014 ACM Conference on SIGCOMM, pp. 491-502. , New York, NY, USANoormohammadpour, M., Raghavendra, C.S., Datacenter traffic control: Understanding techniques and trade-offs (2017) IEEE Communications Surveys Tutorials, 99, p. 1Pfaff, B., Pettit, J., Koponen, T., Jackson, E.J., Zhou, A., Rajahalme, J., Gross, J., Shelar, P., (2015) The Design and Implementation of Open Vswitch, pp. 117-130. , NSDIRojas-Cessa, R., Kaymak, Y., Dong, Z., Schemes for fast transmission of flows in data center networks (2015) IEEE Communications Surveys Tutorials, 17 (3), pp. 1391-1422Roy, A., Zeng, H., Bagga, J., Porter, G., Snoeren, A.C., Inside the social Network’s (Datacenter) Network (2015) Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, pp. 123-137. , New York, NY, USASivaraman, A., Cheung, A., Budiu, M., Kim, C., Alizadeh, M., Balakrishnan, H., Varghese, G., Licking, S., Packet transactions: High-level programming for line-rate switches (2016) Proceedings of the 2016 ACM SIGCOMM Conference, pp. 15-28. , New York, NY, USASivaraman, A., Kim, C., Krishnamoorthy, R., Dixit, A., Budiu, M., DC.P4: Programming the forwarding plane of a data-center switch (2015) Proceedings of the 1St ACM SIGCOMM Symposium on Software Defined Networking Research, pp. 1-2. , New York, NY, USASivaraman, A., Subramanian, S., Alizadeh, M., Chole, S., Chuang, S.T., Agrawal, A., Balakrishnan, H., McKeown, N., Programmable packet scheduling at line rate (2016) Proceedings of the 2016 ACM SIGCOMM Conference, pp. 44-57. , New York, NY, USADYNA (Colombia)Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performanceArticleinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Gutiérrez, S.A., Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia, Facultad de Ingenierías, Universidad de Medellín, Medellín, ColombiaBarcellos, M., Instituto de Infiormática, Universidade Federal do Rio Grande do Sul, Porto Alegre, BrazilBranch, J.W., Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombiahttp://purl.org/coar/access_right/c_16ecGutiérrez S.A.Barcellos M.Branch J.W.11407/6133oai:repository.udem.edu.co:11407/61332021-02-05 09:59:54.345Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co |