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
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