Paper Info
Title
A Cost-Capacity Analysis for Assessing the Efficiency of Heterogeneous Computing Assets in an Enterprise Cloud
Abstract
Cloud providers and organizations with a large IT infrastructure manage evolving sets of hardware resources that are subject to continual change. As existing computing assets age, newer, more capable and more efficient ones are generally acquired. Significant variability of hardware components leads to inefficient use of computing assets within the organization. We claim that only a detailed understanding of the whole infrastructure will lead to significant optimizations and savings. In this paper we report results on a dataset of 1,171 assets from two different data centers, on which we present a thorough analysis of how the costs of running a computing asset are related to its resource capacity (i.e., CPU and RAM). This analysis is formalized in a cost model that could be used by organizations to make an optimal decision with regards to which computing assets should migrate their workload (i.e. should be disconnected or discarded) and which ones should receive such workload.
Year
DOI
Venue
2013
10.1109/UCC.2013.32
Utility and Cloud Computing
Keywords
Field
DocType
hardware component,cloud provider,hardware resource,cost-capacity analysis,computing asset,enterprise cloud,significant optimizations,computing assets age,large it infrastructure,heterogeneous computing assets,whole infrastructure,significant variability,thorough analysis,resource allocation,utilization,cloud computing,benchmark
Optimal decision,Workload,Computer science,Symmetric multiprocessor system,Capacity planning,Utility computing,Resource allocation,Information technology management,Operating system,Distributed computing,Cloud computing
Conference
Citations 
PageRank 
References 
3
0.41
14
Authors
5
Name
Order
Citations
PageRank
Jesus Omana Iglesias1184.06
Philip Perry235329.95
Nicola Stokes330.41
James Thorburn4264.11
Liam Murphy581174.94