DocumentCode :
1973726
Title :
AESON: A Model-Driven and Fault Tolerant Composite Deployment Runtime for IaaS Clouds
Author :
Jayasinghe, Danushka ; Pu, Calton ; Oliveira, Filipe ; Rosenberg, F. ; Eilam, T.
Author_Institution :
CERCS, Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
575
Lastpage :
582
Abstract :
Infrastructure-as-a-Service (IaaS) cloud environments expose to users the infrastructure of a data center while relieving them from the burden and costs associated with its management and maintenance. IaaS clouds provide an interface by means of which users can create, configure, and control a set of virtual machines that will typically host a composite software service. Given the increasing popularity of this computing paradigm, previous work has focused on modeling composite software services to automate their deployment in IaaS clouds. This work is concerned with the runtime state of composite services during and after deployment. We propose AESON, a deployment runtime that automatically detects node (virtual machine) failures and eventually brings the composite service to the desired deployment state by using information describing relationships between the service components. We have designed AESON as a decentralized peer-to-peer publish/subscribe system leveraging IBM´s Bulletin Board (BB), a topic-based distributed shared memory service built on top of an overlay network.
Keywords :
cloud computing; computer centres; fault tolerant computing; overlay networks; peer-to-peer computing; shared memory systems; virtual machines; AESON; IaaS clouds; bulletin board; composite software service; data center; decentralized peer-to-peer publish/subscribe system; distributed shared memory service; fault tolerant composite deployment runtime; infrastructure-as-a-service; model-driven composite deployment runtime; overlay network; virtual machines; Computer crashes; Databases; Monitoring; Nominations and elections; Peer-to-peer computing; Sensitivity; Servers; Failures; Fault-Tolerant; Model-Driven; Peer-to-Peer; Publish-subscribe; Recovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2013 IEEE International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5026-8
Type :
conf
DOI :
10.1109/SCC.2013.102
Filename :
6649743
Link To Document :
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