Fault-Tolerant Resource Provisioning with Deadline-Driven Optimization in Hybrid Clouds

Resource provisioning remains as one of the chal-lenging research problems in cloud computing, more importantly when considered together with service reliability. Fault-tolerance techniques such as fault-recovery is one of the techniques that can be employed to improve on service reliability. Techni...

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Vydáno v:International journal of advanced computer science & applications Ročník 7; číslo 12
Hlavní autoři: Ahene, Emmanuel, Nketia, Kingsley, Xu, Heyang
Médium: Journal Article
Jazyk:angličtina
Vydáno: West Yorkshire Science and Information (SAI) Organization Limited 01.01.2016
Témata:
Algorithms
Cloud computing
Design optimization
Fault tolerance
Operating costs
Optimization
Optimization models
Performance evaluation
Performance measurement
Provisioning
Reliability
Resource allocation
ISSN:2158-107X, 2156-5570
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Shrnutí:Resource provisioning remains as one of the chal-lenging research problems in cloud computing, more importantly when considered together with service reliability. Fault-tolerance techniques such as fault-recovery is one of the techniques that can be employed to improve on service reliability. Technically, fault-recovery has obvious impact on service performance. Such impact requires detailed studies. Only few works on hybrid cloud resource provisioning address fault recovery and its impact. In this paper, we investigate the problem of resource provisioning in hybrid Clouds, considering the probability of hybrid cloud resource failure during job execution. We formulate this problem as an optimization model with operational cost as an objective function subject to the deadline constraint of jobs. Based on our proposed optimization model, we design a heuristic-based algo-rithm called dynamic resource provisioning algorithm (DRPA). We then perform extensive experiments to evaluate performance of the proposed algorithm based on a real world set of data. The results confirm the obvious impact of fault recovery on the performance metrics (operational cost and deadline violation rate) and also confirms that DRPA can be useful in minimizing operational cost.
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ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2016.071250