Article

EC2 performance analysis for resource provisioning of service-oriented applications

Authors:

Jiang Dejun,

Guillaume Pierre,

Chi-Hung ChiAuthors Info & Claims

ICSOC/ServiceWave'09: Proceedings of the 2009 international conference on Service-oriented computing

Pages 197 - 207

Published: 23 November 2009 Publication History

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Abstract

Cloud computing is receiving increasingly attention as it provides infinite resource capacity and "pay-as-you-go" resource usage pattern to hosted applications. To maintain its SLA targets, resource provisioning of service-oriented applications in the cloud requires reliable performance from the cloud resources. In this paper, we study performance behavior of small instances in Amazon EC2. We demonstrate that the performance of virtual instances is relatively stable over time with fluctuations of mean response time within at most 8% of the longterm average. Moreover, we also show that different supposedly identical instances often have very different performance, up to a ratio 4 from each other. We consider this as an important issue that must be addressed, but also as an opportunity as it allows one to assign each instance with a task that matches its own performance profile.

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Published In

ICSOC/ServiceWave'09: Proceedings of the 2009 international conference on Service-oriented computing

November 2009

579 pages

ISBN:3642161316

Editors:
Asit Dan
IBM Software Group, Somers, NY
,
Frédéric Gittler
HP Laboratiories, Grenoble, France
,
Farouk Toumani
Blaise Pascal University, Clermont-Ferrand, France

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 23 November 2009

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Jiang QLee YZomaya A(2020)The Limit of Horizontal Scaling in Public CloudsACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/33733565:1(1-22)Online publication date: 4-Feb-2020
https://dl.acm.org/doi/10.1145/3373356
Nasim RZola EKassler A(2018)Robust optimization for energy-efficient virtual machine consolidation in modern datacentersCluster Computing10.5555/3287988.328801221:3(1681-1709)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.5555/3287988.3288012
Dayan NAthanassoulis MIdreos S(2018)Optimal Bloom Filters and Adaptive Merging for LSM-TreesACM Transactions on Database Systems10.1145/327698043:4(1-48)Online publication date: 8-Dec-2018
https://dl.acm.org/doi/10.1145/3276980
K. VKumar SS. RR. V(2018)Cost and fault-tolerant aware resource management for scientific workflows using hybrid instances on cloudsMultimedia Tools and Applications10.1007/s11042-017-5304-777:8(10171-10193)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s11042-017-5304-7
Mukherjee JKrishnamurthy Dwang M(2017)Subscriber-Driven Interference Detection for Cloud-Based Web ServicesIEEE Transactions on Network and Service Management10.1109/TNSM.2016.264283814:1(48-62)Online publication date: 1-Mar-2017
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Davatz CInzinger CScheuner JLeitner P(2017)An Approach and Case Study of Cloud Instance Type Selection for Multi-Tier Web ApplicationsProceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing10.1109/CCGRID.2017.12(534-543)Online publication date: 14-May-2017
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Leitner PCito J(2016)Patterns in the Chaos—A Study of Performance Variation and Predictability in Public IaaS CloudsACM Transactions on Internet Technology10.1145/288549716:3(1-23)Online publication date: 19-Apr-2016
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Poola DRamamohanarao KBuyya R(2016)Enhancing Reliability of Workflow Execution Using Task Replication and Spot InstancesACM Transactions on Autonomous and Adaptive Systems10.1145/281562410:4(1-21)Online publication date: 3-Feb-2016
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Rameshan NLiu YNavarro LVlassov VVarela CCastro HBarrios C(2016)Hubbub-scaleProceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2016.71(233-244)Online publication date: 16-May-2016
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