A broker framework for selecting secure cloud service provider using security risk approach

Talbi, Jamal; Haqiq, Abdelkrim

doi:10.1504/ijcc.2016.10000904

Cited by 2 publications

(1 citation statement)

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“…With regard to cloud broker designs and resource management, in [18], Grozev Talbi and Haqiq [27] proposed an efficient cloud Broker mechanism that can be used to identify the vulnerabilities that may occur in the CSP system, then analyze them in order to rank the CSPs based on measuring the risks of confidentiality, integrity, and availability.…”

Section: With Respect To Cloud Broker Designsmentioning

confidence: 99%

A Semi-Markov decision model-based brokering mechanism for mobile cloud market

Degtiareve¹

2021

Preprint

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As the multitude and complexity of cloud market increases the evaluation and selection of cloud services becomes a burdensome task for the users. With the increased rise of available services from various Cloud Service Providers (CSP), the role of cloud brokers becomes more and more important. In this thesis, the challenge of optimally allocating multiple cloud system resources to multiple mobile user’s requests with different requirements is investigated and an optimal Cloud Broker model is proposed. The cloud brokering mechanism is formulated as a Semi-Markov Decision Process (SMDP) model under the average system cost criteria, taking into consideration the cost of the occupying computing resources, the communication costs, the request traffic, and some security risk degrees and resource requirements from the multiple mobile users. Through minimizing the overall system cost, the optimal resource allocation policy is derived by using the Value Iteration Algorithm. Simulation results are provided, demonstrating the efficiency of the proposed Cloud Broker design.

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Section: With Respect To Cloud Broker Designsmentioning

confidence: 99%