Paper Info
Title
Influence of the trace resolution and length in the cost optimization process in cloud computing.
Abstract
In order to optimize costs in cloud computing deployments, Virtual Machine (VM) allocation strategies are frequently employed. To compare different strategies, workload traces are required. These traces should be of one second resolution (to take into account the per-second billing) and of one year length (to consider reserved VMs properly). However, there are no public traces with these characteristics corresponding to transactional services. To overcome this issue, in this paper we present different synthesis techniques designed to generate a trace of one second resolution based on a trace with lower resolution, usually one hour. The influence of the different synthesis techniques in the cost optimization process is analyzed, concluding that they have an appreciable effect in the optimization process. As an alternative, the execution of VM allocation strategies using traces shorter than a year (a few months, for example) and the extrapolation of the results to the whole year is also analyzed. We found that this mode of operation can generate misleading results.
Year
DOI
Venue
2019
10.23919/SPECTS.2019.8823508
SummerSim
Keywords
Field
DocType
cloud computing, cost optimization, trace synthesis, virtual machine allocation
Virtual machine,Block cipher mode of operation,Workload,Computer science,Real-time computing,Extrapolation,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-7281-3839-8
0
0.34
References 
Authors
10
5
Name
Order
Citations
PageRank
Javier García100.34
Joaquín Entrialgo200.34
José Luis Díaz3644.55
Manuel García400.34
Daniel F. García550055.75