IntQOE: Integrated End-to-end QoE Optimization for Edge Computing Enabled Web Application
Pages 58 - 62
Abstract
Global microservice spanning multi-clusters is an important setting for edge computing enabled web applications, which are usually quality of experience (QoE) sensitive. The end-to-end QoE optimization is important but challenging for such a setting. Although the existing QoE-aware load balancing solution has been verified in the single cluster setting, to apply it into the multi-cluster setting like the edge computing setting, we found the global server load balancer (GSLB) may make the end-to-end QoE suboptimal. Because of some unpredictable behaviors, the end-to-end QoE optimization over the GSLB and the edge cluster is difficult. To address this, we design IntQOE, a load balance coordination system, which allows accurate and efficient information exchange between the upstream load balancer (the resource controller in the edge cluster) and the downstream load balancer (GSLB). Using a trace-driven simulation, we demonstrate that IntQOE can get stable near-optimal QoE. To compare with latency-based GSLB, IntQOE can improve the end-to-end QoE by over 30% on average.
References
[1]
Akamai. 2021. Global Traffic Management Guide. https://learn.akamai.com/en-us/webhelp/global-traffic-management/global-traffic-management-user-guide
[2]
R Alimi, R Penno, Y Yang, S. Kiesel, S. Previdi, W. Roome, S. Shalunov, and R. Woundy. 2014. Application-Layer Traffic Optimization (ALTO) Protocol [RFC7285]. (2014), 91 pages.
[3]
Emna Baccour, Aiman Erbad, Kashif Bilal, Amr Mohamed, Mohsen Guizani, and Mounir Hamdi. 2020. FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations. arXiv:2003.10820 [cs.MM]
[4]
global-ping 2021. Global Ping Statistics - WonderNetwork. https://wondernetwork.com/pings/.
[5]
Anatoliy Gorbenko, Alexander Romanovsky, and Olga Tarasyuk. 2020. Interplaying Cassandra NoSQL Consistency and Performance: A Benchmarking Approach. In Dependable Computing - EDCC 2020 Workshops. Springer International Publishing, Cham, 168--184.
[6]
Chi-Yao Hong, Srikanth Kandula, Ratul Mahajan, Ming Zhang, Vijay Gill, Mohan Nanduri, and Roger Wattenhofer. 2013. Achieving high utilization with software-driven WAN. In Proceedings of SIGCOMM '13. ACM Press, New York, NY, USA, 15.
[7]
Junchen Jiang, Shijie Sun, Vyas Sekar, and Hui Zhang. 2017. Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation. In Proceedings of NSDI '17. USENIX Association, 393--406.
[8]
Alok Kumar, Mihai Amarandei-Stavila, Mathieu Robin, Aspi Siganporia, Stephen Stuart, Amin Vahdat, Sushant Jain, Uday Naik, Anand Raghuraman, Nikhil Kasinadhuni, Enrique Cauich Zermeno, C. Stephen Gunn, Jing Ai, Björn Carlin, Alok Kumar, Sushant Jain, Uday Naik, Anand Raghuraman, Nikhil Kasinadhuni, Enrique Cauich Zermeno, C. Stephen Gunn, Jing Ai, Björn Carlin, Mihai Amarandei-Stavila, Mathieu Robin, Aspi Siganporia, Stephen Stuart, and Amin Vahdat. 2015. BwE: Flexible, Hierarchical Bandwidth Allocation for WAN Distributed Computing. In Proceedings of SIGCOMM '15, Vol. 45. ACM Press, New York, NY, USA, 1--14.
[9]
Maxmind. [n.d.]. IP Geolocation and Online Fraud Prevention. https://www.maxmind.com/en/home
[10]
Matthew K. Mukerjee, David Naylor, Junchen Jiang, Dongsu Han, Srinivasan Seshan, and Hui Zhang. 2015. Practical, Real-time Centralized Control for CDN-based Live Video Delivery. ACM SIGCOMM Computer Communication Review 45, 4 (sep 2015), 311--324.
[11]
Usama Naseer, Luca Niccolini, Udip Pant, Alan Frindell, Ranjeeth Dasineni, and Theophilus A Benson. 2020. Zero Downtime Release: Disruption-free Load Balancing of a Multi-Billion User Website. In Proceedings of SIGCOMM '20. ACM, New York, NY, USA, 529--541.
[12]
Enric Pujol, Ingmar Poese, Johannes Zerwas, Georgios Smaragdakis, and Anja Feldmann. 2019. Steering hyper-giants' traffic at scale. In Proceedings of CoNEXT '19. Association for Computing Machinery, Inc, New York, NY, USA, 82--95.
[13]
Lenin Ravindranath, Jitendra Padhye, Ratul Mahajan, and Hari Balakrishnan. 2013. Timecard: controlling user-perceived delays in server-based mobile applications. In Proceedings of SOSP '13. ACM Press, New York, NY, USA, 85--100.
[14]
Kyle Schomp, Onkar Bhardwaj, Eymen Kurdoglu, Mashooq Muhaimen, and Ramesh K. Sitaraman. 2020. Akamai DNS: Providing Authoritative Answers to the World's Queries. In Proceedings of SIGCOMM '20 (Virtual Event, USA) (SIGCOMM '20). Association for Computing Machinery, New York, NY, USA, 465--478.
[15]
Jingxuan Zhang, Luis Contreras, Kai Gao, Francisco Cano, Patricia Cano, Anais Escribano, and Y. Richard Yang. 2021. Sextant: Enabling Automated Network-aware Application Optimization in Carrier Networks. In Proceedings of IFIP/IEEE IM '21. IFIP.
[16]
Rui-Xiao Zhang, Ming Ma, Tianchi Huang, Hanyu Li, Jiangchuan Liu, and Lifeng Sun. 2020. Leveraging QoE Heterogenity for Large-Scale Livecaset Scheduling. In Proceedings of the 28th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), New York, NY, USA, 3678--3686.
[17]
Xu Zhang, Siddhartha Sen, Daniar Kurniawan, Haryadi Gunawi, and Junchen Jiang. 2019. E2E: Embracing user heterogeneity to improve quality of experience on the web. In Proceedings of SIGCOMM '19. Association for Computing Machinery, Inc, New York, NY, USA, 289--302.
Index Terms
- IntQOE: Integrated End-to-end QoE Optimization for Edge Computing Enabled Web Application
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Published In
August 2021
77 pages
ISBN:9781450386333
DOI:10.1145/3472727
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Published: 23 August 2021
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