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Under cloud environment, cloud service providers need to predict non-stationary workloads, and base prediction results to plan and execute fault-tolerance strategies in advance so as to ensure services' ability in fault-tolerance. High prediction precisions in services' workloads improve effectiveness of strategies such that service's fault-tolerance is advanced. In this paper, we propose a hybrid...
As more and more cloud services are provided on the web, composite services will increase exponentially. How to select the optimal services for a given composite service is a important problem and is NP-Hard. This paper proposes a multi-objective service selection algorithm based on MOACS(Multi-Objective Ant Colony System) optimization algorithm for this problem. In this problem, two objectives are...
For service level agreement aware service composition problem, the sharing property is integrated into it to further decrease the cost and make more applications can be successfully deployed. Based on the characteristic of this problem, the attributes of throughput, latency and cost are simultaneous considered and a multi-objective service sharing optimization model is built. To make more feasible...
In this paper, a novel scientific workflow simulator is designed and implemented which is energy-aware and can simulate the scientific workflow that running on the multi-core cluster system. A method for application modeling is proposed which can describe the process dependence, data dependence and performance requirement of the workflow. A computing system model was also introduced to describe the...
To solve the problem that traditional resource allocation scheme does not take influence of cloud user behavior on resource allocation into consideration and has a static authorization process, this paper proposes resource allocation scheme based on access control (RASBAC), which introduces behavior trust into authorization process. This paper designs a calculation algorithm of behavior trust based...
Building, operating, maintaining, and updating traditional e-government IT infrastructure require financial resources for up-front infrastructure costs and IT administration expenditures. Due to economic down turn in developed countries and shrinking budgets in developing countries, governments are not in a position to extend an open ended financial support to IT assets and are increasingly looking...
To predict the market trends, to improve enterprise performance, and for the smarter business outcomes, Business intelligence (BI) "an integrated set of tools, technologies and programmed products that are used to collect, integrate, analyze and make data available", become the basic need for the businesses. Due Economic, technological and human resource constraints, the SMEs are not able...
The process of human's blink expressing deep information of mind has uncertainties of fuzziness and randomness. A cloud theory-based method is proposed to realize uncertainty control of virtual human's blink. Eyes' maximal open angle cloud and blink interval cloud are designed. A cloud-based blink control algorithm is proposed. Results of comparing it with certainty method show that the proposed algorithm...
The main objective of this paper to enhance the entire supply chain of Small and Medium sized Enterprises (SMEs) in Pakistan, and to examine the SMEs in Pakistan and how the SMEs adopt their way of undertaking business from traditional practice to e-business? Implementation of supply chain management will lower costs and increase efficiency and thus lead to the significant gain for SMEs. The Supply...
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