Authors:
Ouassila Hioual
1
and
Sofiane Mounine Hemam
2
Affiliations:
1
Abbès Laghrour University and LIRE Laboratory of Constantine, Algeria
;
2
Abbès Laghrour University and ICOSI Laboratory of Khenchela, Algeria
Keyword(s):
Cloud Computing, Cloud Service, Service Selection, TOPSIS, Load Balancing, Multi Cloud Computing, Multi Agents System, MCDA Discrete Time Markov Chain, Contract Net Protocol, CNP.
Abstract:
With the rapid growth of cloud computing, a number of service providers have appeared who offer similar services at various prices and performance levels. So, the increasing number of cloud services has made service selection a challenging decision-making problem. In a multi cloud environment, we need to find a service from multiple clouds by taking into account several requirements (user and system ones). In this paper, we present a cloud service selection model in which we focus on load-balancing across the replicas of services placed at different clouds, this, by taking into account end-user requirements for the service price.