A Cooperative Approach for Distributed Task Execution in Autonomic Clouds

Michele Amoretti, Alberto Lluch Lafuente, Stefano Sebastio

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

Virtualization and distributed computing are two key pillars that guarantee scalability of applications deployed in the Cloud. In Autonomous Cooperative Cloud-based Platforms, autonomous computing nodes cooperate to offer a PaaS Cloud for the deployment of user applications. Each node must allocate the necessary resources for applications to be executed with certain QoS guarantees. If the QoS of an application cannot be guaranteed a node has mainly two options: to allocate more resources (if it is possible) or to rely on the collaboration of other nodes. Making a decision is not trivial since it involves many factors (e.g. the cost of setting up virtual machines, migrating applications, discovering collaborators). In this paper we present a model of such scenarios and experimental results validating the convenience of cooperative strategies over selfish ones, where nodes do not help each other. We describe the architecture of the platform of autonomous clouds and the main features of the model, which has been implemented and evaluated in the DEUS discrete-event simulator. From the experimental evaluation, based on workload data from the Google Cloud Backend, we can conclude that (modulo our assumptions and simplifications) the performance of a volunteer cloud can be compared to that of a Google Cluster.
Original languageEnglish
JournalEuromicro Conference on Parallel, Distributed and Network-Based Processing. Proceedings
Pages (from-to)274-281
Number of pages8
ISSN1066-6192
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing - Belfast, United Kingdom
Duration: 27 Feb 20131 Mar 2013
Conference number: 21

Conference

Conference21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
Number21
CountryUnited Kingdom
CityBelfast
Period27/02/201301/03/2013

Keywords

  • Cloud computing
  • Discrete event simulation
  • Quality of service
  • Distributed computer systems
  • Autonomous computing
  • Autonomous systems
  • Cooperative strategy
  • Discrete-event simulators
  • Distributed tasks
  • Experimental evaluation
  • Volunteer clouds
  • Volunteer computing
  • autonomic clouds
  • autonomous systems
  • cloud computing
  • distributed tasks execution
  • volunteer computing
  • COMPUTER
  • NETWORK VIRTUALIZATION
  • SERVICES
  • decision making
  • discrete event simulation
  • quality of service
  • resource allocation
  • software architecture
  • software fault tolerance
  • task analysis
  • virtual machines
  • virtualisation
  • autonomous cloud architecture
  • autonomous computing node
  • autonomous cooperative cloud-based platform
  • cooperative approach
  • DEUS
  • discrete event simulator
  • distributed computing
  • distributed task execution
  • Google Cloud Backend
  • node collaboration
  • PaaS cloud
  • QoS
  • user application deployment
  • virtualization

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