Distributed workload and response time management for web applications

Zhang, S; Wu, H; Wang, W; Yang, B; Liu, P; Vasilakos, AV

dc.contributor.author	Zhang, S	en
dc.contributor.author	Wu, H	en
dc.contributor.author	Wang, W	en
dc.contributor.author	Yang, B	en
dc.contributor.author	Liu, P	en
dc.contributor.author	Vasilakos, AV	en
dc.date.accessioned	2014-03-01T02:53:12Z
dc.date.available	2014-03-01T02:53:12Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36184
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84862965403&partnerID=40&md5=1f8d7750224be448fbdf79c8719eb607	en
dc.subject	Admission control	en
dc.subject	cloud	en
dc.subject	distributed computing	en
dc.subject	service class differentiation	en
dc.subject.other	Application Servers	en
dc.subject.other	Back-end servers	en
dc.subject.other	Control components	en
dc.subject.other	Control solutions	en
dc.subject.other	Distributed components	en
dc.subject.other	Distributed design	en
dc.subject.other	Fast convergence	en
dc.subject.other	Heavy workloads	en
dc.subject.other	Large-scale deployment	en
dc.subject.other	Operation cost	en
dc.subject.other	Overload protection	en
dc.subject.other	Runtime overheads	en
dc.subject.other	Service class	en
dc.subject.other	Service differentiation	en
dc.subject.other	Source code changes	en
dc.subject.other	System failures	en
dc.subject.other	System resources	en
dc.subject.other	WEB application	en
dc.subject.other	Workload management	en
dc.subject.other	Access control	en
dc.subject.other	Clouds	en
dc.subject.other	Fault tolerance	en
dc.subject.other	Management	en
dc.subject.other	Network management	en
dc.subject.other	Quality of service	en
dc.subject.other	Systems engineering	en
dc.subject.other	World Wide Web	en
dc.subject.other	Distributed computer systems	en
dc.title	Distributed workload and response time management for web applications	en
heal.type	conferenceItem	en
heal.identifier.secondary	6103955	en
heal.publicationDate	2011	en
heal.abstract	Managing workload for large scale web applications is a fundamental task for satisfactory quality of service, low management and operation cost. In this paper, we present SCOPS, a system of distributed workload management to achieve service differentiation and overload protection in such large scale deployment. Our system splits the workload management logic into distributed components on each back-end server and front-end proxy. The control solution is designed to protect the backend server from overloading and to achieve both efficient usage of system resource and service differentiation by employing a unique optimization target. The control components are automatically organized based on the flow of workloads, such that management overhead is minimized. SCOPS is extremely flexible because it requires no source code changes to host OS, application servers, or web applications. Additionally, the distributed design makes it scalable and robust for cloud scale server deployment. Experiments with our implementation confirm SCOPS's performance with dynamic heavy workload, incurring neglectable runtime overhead. More importantly, SCOPS also ensures fault-tolerance and fast convergence to system failures. © 2011 IFIP.	en
heal.journalName	2011 7th International Conference on Network and Service Management, CNSM 2011	en