Kecskemeti, G, Terstyanszky, G, Kacsuk, P and Nemeth, Z (2013) Towards efficient virtual appliance delivery with minimal manageable virtual appliances. IEEE Transactions on Services Computing, 7 (2). pp. 279-292. ISSN 1939-1374

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Abstract

Infrastructure as a Service systems use virtual appliances to initiate virtual machines. As virtual appliances encapsulate applications and services with their support environment, their delivery is the most expensive task of the virtual machine creation. Virtual appliance delivery is a well-discussed topic in the field of cloud computing. However, for high efficiency, current techniques require the modification of the underlying IaaS systems. To target the wider adoptability of these delivery solutions, this article proposes the concept of minimal manageable virtual appliances (MMVA) that are capable of updating and configuring their virtual machines without the need to modify IaaS systems. To create MMVAs, we propose to reduce manageable virtual appliances until they become MMVAs. This research also reveals a methodology for appliance developers to incorporate MMVAs in their own appliances to enable their efficient delivery and wider adoptability. Finally, the article evaluates the positive effects of MMVAs on an already existing delivery solution: the Automated Virtual appliance creation Service (AVS). Through experimental evaluation, we present that the application of MMVAs not only increases the adoptability of a delivery solution but it also significantly improves its performance in highly dynamic systems. © 2013 IEEE.

Item Type:	Article
Additional Information:	(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords:	0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Computer Science & Mathematics
Publisher:	IEEE
Date Deposited:	04 Aug 2016 09:19
Last Modified:	04 Sep 2021 12:38
DOI or ID number:	10.1109/TSC.2013.12
URI:	https://researchonline.ljmu.ac.uk/id/eprint/3978

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