TY - GEN
T1 - Optimization as a service
T2 - 14th International Conference on Computer Aided Systems Theory, Eurocast 2013
AU - Pimminger, Sebastian
AU - Wagner, Stefan
AU - Kurschl, Werner
AU - Heinzelreiter, Johann
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Cloud computing has emerged as a new technology that provides on-demand access to a large amount of computing resources. This makes it an ideal environment for executing metaheuristic optimization experiments. In this paper, we investigate the use of cloud computing for metaheuristic optimization. This is done by analyzing job characteristics from our production system and conducting a performance comparison between different execution environments. Additionally, a cost analysis is done to incorporate expenses of using virtual resources.
AB - Cloud computing has emerged as a new technology that provides on-demand access to a large amount of computing resources. This makes it an ideal environment for executing metaheuristic optimization experiments. In this paper, we investigate the use of cloud computing for metaheuristic optimization. This is done by analyzing job characteristics from our production system and conducting a performance comparison between different execution environments. Additionally, a cost analysis is done to incorporate expenses of using virtual resources.
UR - http://www.scopus.com/inward/record.url?scp=84892577421&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-53856-8_44
DO - 10.1007/978-3-642-53856-8_44
M3 - Conference contribution
SN - 9783642538551
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 348
EP - 355
BT - Computer Aided Systems Theory, EUROCAST 2013 - 14th International Conference, Revised Selected Papers
PB - Springer
Y2 - 10 February 2013 through 15 February 2013
ER -