An approach for virtual appliance distribution for service deployment

  • Authors:

  • Gabor Kecskemeti;Gabor Terstyanszky;Peter Kacsuk;Zsolt Neméth

  • Affiliations:

  • Laboratory of Parallel and Distributed Systems, MTA-SZTAKI, 13-17 Kende u., Budapest 1111, Hungary and Centre of Parallel Computing, University of Westminster, 115 New Cavendish Street, London W1W ...;Centre of Parallel Computing, University of Westminster, 115 New Cavendish Street, London W1W 6UW, United Kingdom;Laboratory of Parallel and Distributed Systems, MTA-SZTAKI, 13-17 Kende u., Budapest 1111, Hungary and Centre of Parallel Computing, University of Westminster, 115 New Cavendish Street, London W1W ...;Laboratory of Parallel and Distributed Systems, MTA-SZTAKI, 13-17 Kende u., Budapest 1111, Hungary

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2011

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Abstract

Fulfilling a service request in highly dynamic service environments may require deploying a service. Therefore, the effectiveness of service deployment systems affects initial service response times. On Infrastructure as a Service (IaaS) cloud systems deployable services are encapsulated in virtual appliances. Services are deployed by instantiating virtual machines with their virtual appliances. The virtual machine instantiation process is highly dependent on the size and availability of the virtual appliance that is maintained by service developers. This article proposes an automated virtual appliance creation service that aids the service developers to create efficiently deployable virtual appliances - in former systems this task was carried out manually by the developer. We present an algorithm that decomposes these appliances in order to replicate the common virtual appliance parts in IaaS systems. These parts are used to reduce the deployment time of the service by rebuilding the virtual appliance of the service on the deployment target site. With the prototype implementation of the proposed algorithms we demonstrate the decomposition and appliance rebuilding algorithms on a complex web service.