A Quantum Optimization Model for Dynamic Resource Allocation in Cloud Computing
Journal Title: LAHORE GARRISON UNIVERSITY RESEARCH JOURNAL OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY - Year 2017, Vol 1, Issue 1
Abstract
Quantum Computing and Cloud Computing technologies have potential capability to change the dynamic of future computing. Similarly, both Complexities, time and Space are the basic constraints which can determine the efficient cloud service performance. Quantum optimization for the cloud resources in dynamic environment provides a way to deal with the present classical cloud computation model’s challenges. By combining the fields of quantum computing and cloud computing, will result in evolutionary technology. Virtual resource allocation is a major challenge facing cloud computing with dynamic characteristics, a single aspect for the evaluation of resource allocation strategy cannot satisfy the real world demands in this case. Quantum Optimization resource allocation mechanism on the cloud computing environment based two-way factors, improving user satisfaction and best use of resource utilization of cloud computing systems. A dynamic resource allocation mechanism for cloud services, based on negotiation by keeping the focus on preferences and pricing factor is therefore proposed.
Authors and Affiliations
TAHIR ILYAS, NADIA TABASSUM, UMER FAROOQ
Keywords
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