Cost and Utilization Optimization of Amazon EC2 Instances

Author

Kokkinos, P. ; Varvarigou, T.A. ; Kretsis, A. ; Soumplis, P. ; Varvarigos, E.A.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece

fYear

2013

fDate

June 28 2013-July 3 2013

Firstpage

518

Lastpage

525

Abstract

The monitoring and the analysis of public clouds gains momentum, due to their widespread exploitation by individual users, researchers and companies for their daily tasks. We propose an algorithm for optimizing the cost and the utilization of a set of running Amazon EC2 instances by resizing them appropriately. The algorithm, namely Cost and Utilization Optimization (CUO) algorithm, receives information regarding the current set of instances used (their number, type, utilization) and proposes a new set of instances for serving the same load, so as to minimize cost and maximize utilization, or increase performance efficiency. CUO is integrated in Smart cloud Monitoring (SuMo), an open-source tool we develop for collecting monitoring data from Amazon Web Services (AWS) and analyzing them. A number of experiments are performed, using input data that correspond to realist AWS configuration scenarios, which exhibit the benefits of the CUO algorithm.

Keywords

Web services; cloud computing; computerised monitoring; optimisation; public domain software; AWS configuration scenarios; Amazon EC2 instances; Amazon Web services; CUO algorithm; Smart cloud Monitoring; SuMo; cost and utilization optimization algorithm; monitoring data; open source tool; public clouds; Algorithm design and analysis; Cloud computing; Measurement; Monitoring; Operating systems; Optimization; amazon web services; cost; monitoring; optimization; public clouds; utilization;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on

Conference_Location

Santa Clara, CA

Print_ISBN

978-0-7695-5028-2

Type

conf

DOI

10.1109/CLOUD.2013.52

Filename

6676735