University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Performance prediction for unseen virtual machines

O'Loughlin, J and Gillam, L (2014) Performance prediction for unseen virtual machines CLOSER 2014 - Proceedings of the 4th International Conference on Cloud Computing and Services Science. pp. 70-77.

Full text not available from this repository.

Abstract

Various papers have reported on the differential performance of virtual machine instances of the same type, and same supposed performance rating, in Public Infrastructure Clouds. It has been established that instance performance is determined in large part by the underlying hardware, and performance variation is due to the heterogeneous nature of large and growing Clouds. Currently, customers have limited ability to request performance levels, and can only identify the physical CPU backing an instance, and so associate CPU models with expected performance levels, once resources have been obtained. Little progress has been made to predict likely performance for instances on such Public Clouds. In this paper, we demonstrate how such performance predictions could be provided for, predicated on knowledge derived empirically from one common Public Infrastructure Cloud. Copyright © 2014 SCITEPRESS - Science and Technology Publications.

Item Type: Article
Authors :
NameEmailORCID
O'Loughlin, JUNSPECIFIEDUNSPECIFIED
Gillam, Ll.gillam@surrey.ac.ukUNSPECIFIED
Date : 1 January 2014
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:17
Last Modified : 17 May 2017 15:10
URI: http://epubs.surrey.ac.uk/id/eprint/838644

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800