Self-Adaptive, Deadline-Aware Resource Control in Cloud Computing

Yu Xiang, Bharath Balasubramanian, Michael Wang, Tian Lan, Soumya Sen, Mung Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Modern data centers deliver resources over the cloud for clients to run various applications and jobs with diverse requirements. Today's cloud resource management is able to support certain Quality of Service (QoS) requirements including reliability and security. However, in many settings such as the military cloud where latency requirement is paramount, existing cloud resource management schemes fall short in providing a systematic framework to meet and balance disparate types of application deadlines, since they are primarily focused on speeding up job executions for timely processing. In this paper we present a self-adaptive, deadline-aware resource control framework that can be implemented in a fully distributed fashion, making it suitable for unreliable environments where a single point of failure is not acceptable. Relying on Nash Bargaining in non-cooperative game theory, our framework allocates cloud resources in an optimal way to maximize the Nash Bargaining Solutions (NBS) with respect to both job priority and deadline. Further, it also enables self-adaptive deadline-aware resource allocation and rebalancing under cyber or physical attacks that may diminish cloud capacity. We validate our technique by performing experiments on the Hadoop framework.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013
PublisherIEEE Computer Society
Pages41-46
Number of pages6
ISBN (Print)9781479950867
DOIs
StatePublished - Jan 1 2013
Event7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013 - Philadelphia, PA, United States
Duration: Sep 9 2013Sep 13 2013

Publication series

NameProceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013

Other

Other7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013
CountryUnited States
CityPhiladelphia, PA
Period9/9/139/13/13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

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