Title :
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
fDate :
June 28 2013-July 3 2013
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;
Conference_Titel :
Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5028-2
DOI :
10.1109/CLOUD.2013.52
