Study of Simulation Environment of Cloud Broker and Classification of Cloud Service Broker

Cloud computing provides different services through data centers that are often located in different geographical locations. The users are faced with a wide variety of services to choose from. Also, with the increasing number of serviced applications, overloading might occur on service brokers for balancing and serving the requests. Consequently, maximizing the number of entry points and considering the maximum number of factors that affect the performance for balancing the workload is very important for the quality of service. This paper proposes a model named multi-cloud service brokers (MCSB) for selecting the optimal DC using multiple entry points. The developed service broker policy shares information about the requests considering some new performance factors. This extension is added to the CloudAnalyst simulator tool which is used in this work, and the results are evaluated and compared to other existing policies from the literature.

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Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

Elrotub

Gherbi

2022

International Journal of Cloud Applications and Computing

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Study of Simulation Environment of Cloud Broker and Classification of Cloud Service Broker

Cited by 1 publication

References 13 publications

Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

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