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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Round Robin Inspired History Based Load Balancing Using Cloud Computing
verfasst von : Talha Saif, Nadeem Javaid, Mubariz Rahman, Hanan Butt, Muhammad Babar Kamal, Muhammad Junaid Ali
Erschienen in: Advances on P2P, Parallel, Grid, Cloud and Internet Computing
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Abstract
The advancement of cloud computing (CC) becomes a reason for the foundation of fog computing (FC). FC inherits the services of CC and divides the load of executions on different small levels which ultimately reduces the load on cloud. FC stores data on short term basis and forward it to the cloud for long term storage. In this paper, a fog based environment is proposed connected with cloud and cluster, managing data taken from end user. The proposed algorithm is round robin (RR) inspired and works by using the history of previous VMs. Two service broker policies have also been considered in this paper which are closest data center policy and advance broker policy. Aforementioned three algorithms have been used with these broker policies. RRIHB (Round Robin Inspire History Based Algorithm) outperforms (Honey Bee) HB in case of both service broker policies while it performs equal in case of RR with closest data center and outperforms RR with advance broker policy.