计算机科学 ›› 2021, Vol. 48 ›› Issue (4): 261-267.doi: 10.11896/jsjkx.200800023
马泽华1, 刘波1, 林伟伟2, 李加伟1
MA Ze-hua1, LIU Bo1, LIN Wei-wei2, LI Jia-wei1
摘要： 无服务器(Serverless)计算正成为部署云应用程序的一种具有广阔发展前景的范式。其实现了一种真正的现收现付的计费方式,并且不会浪费资源。开发人员无需担心计算平台的底层细节,只需在处理请求或事件时付费,从而降低了开发人员的门槛。无服务器模式的转变虽然带来了机遇,但也带来了平台函数冷启动延迟、资源利用不足等问题。为此,文中对无服务器计算平台的资源调度技术做了深入的调查和分析,重点阐述了面向资源利用、响应时间延迟以及多目标优化的无服务器平台资源调度的技术原理和相关研究现状,并在此基础上分析总结并指明了无服务器平台资源调度未来的主要研究方向:即面向不同应用类型负载的调度优化、响应时间与资源利用率的折衷调度、虚拟机与无服务器平台的联合调度以及无服务器资源调度的混合算法。
中图分类号:
| [1]KILCIOGLU C,RAO J M,KANNAN A,et al.Usage patterns and the economics of the public cloud[C]//Proceedings of the 26th International Conference on World Wide Web.2017:83-91. [2]CNCF Serverless Whitepaper v1.0[EB/OL].(2020-05-23)[2020-08-31].https://github.com/cncf/wg-serverless#white-paper. [3]MCGRATH G,BRENNER P R.Serverless computing:Design,implementation,and performance[C]//2017 IEEE 37th International Conference on Distributed Computing Systems Workshops(ICDCSW).IEEE,2017:405-410. [4]Global Forecast to 2021:Increasing shift from DevOps to serverless computing to drive the overall Function-as-a-Service market[EB/OL].(2017-06-15)[2020-08-31].https://www.businesswire.com/news/home/20170227006262/en/7.72-Billion-Function-as-a-Service-Market-2017---Global. [5]DELIMITROU C,KOZYRAKIS C.Quasar:resource-efficientand QoS-aware cluster management[J].ACM SIGPLAN Notices,2014,49(4):127-144. [6]GAN Y,ZHANG Y,CHENG D,et al.An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems[C]//Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems.2019:3-18. [7]MAHMOUDI N,LIN C,KHAZAEI H,et al.Optimizing serverless computing:introducing an adaptive function placement algorithm[C]//Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering.2019:203-213. [8]CASTRO P,ISHAKIAN V,MUTHUSAMY V,et al.The rise of serverless computing[J].Communications of the ACM,2019,62(12):44-54. [9]ISHAKIAN V,MUTHUSAMY V,SLOMINSKI A.Servingdeep learning models in a serverless platform[C]//2018 IEEE International Conference on Cloud Engineering(IC2E).IEEE,2018:257-262. [10]BALDINI I,CASTRO P,CHANG K,et al.Serverless computing:Current trends and open problems[M]//Research Advances in Cloud Computing.Springer,Singapore,2017:1-20. [11]HELLERSTEIN J M,FALEIRO J,GONZALEZ J E,et al.Serverless computing:One step forward,two steps back[J].arXiv:1812.03651,2018. [12]FOX G C,ISHAKIAN V,MUTHUSAMY V,et al.Status of serverless computing and function-as-a-service(faas) in industry and research[J].arXiv:1708.08028,2017. [13]ADZIC G,CHATLEY R.Serverless computing:economic andarchitectural impact[C]//Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering.2017:884-889. [14]JONAS E,SCHLEIER-SMITH J,SREEKANTI V,et al.Cloud programming simplified:A berkeley view on serverless computing[J].arXiv:1902.03383,2019. [15]WANG L,LI M,ZHANG Y,et al.Peeking behind the curtains of serverless platforms[C]//Annual Technical Conference.2018:133-146. [16]SURESH A,GANDHI A.FnSched:An Efficient Scheduler for Serverless Functions[C]//Proceedings of the 5th International Workshop on Serverless Computing.2019:19-24. [17]LEE H,SATYAM K,FOX G.Evaluation of production serverless computing environments[C]//2018 IEEE 11th Internatio-nal Conference on Cloud Computing(CLOUD).IEEE,2018:442-450. [18]WAGNER T.Optimizing Enterprise Economics with Serverless Architectures[Z].AWS Web Serviced,2017. [19]Netflix & AWS Lambda Case Study[EB/OL].(2020-08-18)[2020-08-31].https://aws.amazon.com/cn/solutions/case-studies/netflix-and-aws-lambda/. [20]WU D,ROSEN D W,WANG L,et al.Cloud-based design and manufacturing:A new paradigm in digital manufacturing and design innovation[J].Computer-Aided Design,2015,59:1-14. [21]KAFFES K,YADWADKAR N J,KOZYRAKIS C.Centralized Core-granular Scheduling for Serverless Functions[C]//Proceedings of the ACM Symposium on Cloud Computing.2019:158-164. [22]JIANG Q,LEE Y C,ZOMAYA A Y.Serverless execution of scientific workflows[C]//International Conference on Service-Oriented Computing.Springer,Cham,2017:706-721. [23]PÉREZ A,MOLTÓ G,CABALLER M,et al.Serverless compcuting for container-based architectures[J].Future Generation Computer Systems,2018,83:50-59. [24]BALDINI I,CHENG P,FINK S J,et al.The serverless trilemma:Function composition for serverless computing[C]//Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas,New Paradigms,and Reflections on Programming and Software.2017:89-103. [25]LLOYD W,VU M,ZHANG B,et al.Improving Application Migration to Serverless Computing Platforms:Latency Mitigation with Keep-Alive Workloads[C]//2018 IEEE/ACM Internatio-nal Conference on Utility and Cloud Computing Companion(UCC Companion).IEEE,2018:195-200. [26]MANNER J,ENDREβ M,HECKEL T,et al.Cold start influencing factors in function as a service[C]//2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion(UCC Companion).IEEE,2018:181-188. [27]VAN E E,IOSUP A,ABAD C L,et al.A SPEC RG cloudgroup’s vision on the performance challenges of FaaS cloud architectures[C]//Companion of the 2018 ACM/SPEC International Conference on Performance Engineering.2018:21-24. [28]ABAD C L,BOZA E F,VAN EYK E.Package-aware scheduling of FaaS functions[C]//Companion of the 2018 ACM/SPEC International Conference on Performance Engineering.2018:101-106. [29]OAKES E,YANG L,HOUCK K,et al.Pipsqueak:Lean Lambdas with large libraries[C]//2017 IEEE 37th International Conference on Distributed Computing Systems Workshops(ICDCSW).IEEE,2017:395-400. [30]TOTOY G,BOZA E F,ABAD C L.An Extensible Scheduler for the OpenLambda FaaS Platform[C]//Min-Move workshop(co-located with ASPLOS).2018. [31]HENDRICKSON S,STURDEVANT S,HARTER T,et al.Serverless computation with openlambda[C]//8th(USENIX)Workshop on Hot Topics in Cloud Computing(HotCloud 16).2016. [32]KARGER D,SHERMAN A,BERKHEIMER A,et al.Web caching with consistent hashing[J].Computer Networks,1999,31(11-16):1203-1213. [33]STOICA I,MORRIS R,KARGER D,et al.Chord:A scalablepeer-to-peer lookup service for internet applications[J].ACM SIGCOMM Computer Communication Review,2001,31(4):149-160. [34]NASIR A,MORALES G D F,GARCíA-SORIANO D,et al.The Power of Both Choices:Practical Load Balancing for Distributed Stream Processing Engines[J].arXiv:1504.00788v1,2015. [35]AUMALA G,BOZA E,ORTIZ-AVILES L,et al.Beyond Load Balancing:Package-Aware Scheduling for Serverless Platforms[C]//2019 19th IEEE/ACM International Symposium on Cluster,Cloud and Grid Computing(CCGRID).2019:282-291. [36]BERMBACH D,KARAKAYA A S,BUCHHOLZ S.Using application knowledge to reduce cold starts in FaaS services[C]//Proceedings of the 35th Annual ACM Symposium on Applied Computing.2020:134-143. [37]RODRIGUEZ M A,BUYYA R.Deadline based resource provisioningand scheduling algorithm for scientific workflows on clouds[J].IEEE transactions on cloud computing,2014,2(2):222-235. [38]RYAN T,LEE Y C.Effective resource multiplexing for scienti-fic workflows[C]//2015 17th Asia-Pacific Network Operations and Management Symposium(APNOMS).IEEE,2015:232-237. [39]ALQARYOUTI O,SIYAM N.Serverless Computing andScheduling Tasks on Cloud:A Review[J].American Scientific Research Journal for Engineering,Technology,and Sciences(ASRJETS),2018,40(1):235-247. [40]STEIN M.The Serverless Scheduling Problem and NOAH[J].arXiv:1809.06100v1,2018. [41]QUEVEDO S,MERCHÁN F,RIVADENEIRA R,et al.Evaluating Apache OpenWhisk-FaaS[C]//2019 IEEE Fourth Ecuador Technical Chapters Meeting(ETCM).IEEE,2019:1-5. [42]HOSEINYFARAHABADY M R,LEE Y C,ZOMAYA A Y,et al.A QoS-aware resource allocation controller for function as a service(FaaS) platform[C]//International Conference on Ser-vice-Oriented Computing.Springer,Cham,2017:241-255. [43]ENES J,EXPÓSITO R R,TOURIÑO J.Real-time resourcescaling platform for Big Data workloads on serverless environments[J].Future Generation Computer Systems,2020,105:361-379. [44]GAND F,FRONZA I,EL IOINI N,et al.Serverless Container Cluster Management for Lightweight Edge Clouds[C]//CLOSER.2020:302-311. [45]NASTIC S,RAUSCH T,SCEKIC O,et al.A serverless real-time data analytics platform for edge computing[J].IEEE Internet Computing,2017,21(4):64-71. [46]CICCONETTI C,CONTI M,PASSARELLA A.An architectu-ral framework for serverless edge computing:design and emulation tools[C]//2018 IEEE International Conference on Cloud Computing Technology and Science(CloudCom).IEEE,2018:48-55. [47]ZHANG H,STAFMAN L,OR A,et al.Slaq:quality-drivenscheduling for distributed machine learning[C]//Proceedings of the 2017 Symposium on Cloud Computing.2017:390-404. [48]MARINI F,WALCZAK B.Particle swarm optimization(PSO).A tutorial[J].Chemometrics and Intelligent Laboratory Systems,2015,149:153-165. [49]GUNTSCH M,MIDDENDORF M.A population based ap-proach for ACO[C]//Workshops on applications of evolutionary computation.Berlin,Heidelberg:Springer,2002:72-81. [50]WANG J,CHEN H.BSAS:Beetle swarm antennae search algorithm for optimization problems[J].arXiv:1807.10470,2018. |
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