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The advent of Cloud computing has provided a promising methodology for usage of distributed resources for complex scientific workflow applications. Due to the unique features of cloud technology, such as the pay-as-you-go pricing model and scaling, efficient workflow scheduling is a critical research topic. While most workflow scheduling algorithms are proposed to minimize the overall execution time,...
Cloud computing is a distributed computing model which enables developers to automatically deploy applications duringtask allocation and storage distribution. Cloud computing intends to share a pool of virtualized computer resources and equipment's ofcomputation, storage and information. Scheduling is the most important complex part in cloud computing. The ultimate aim of globalscheduler is to share...
Cloud computing is a distributed computing model which enables developers to automatically deploy applications during task allocation and storage distribution. Cloud computing intends to share a pool of virtualized computer resources and equipment's of computation, storage and information. Scheduling is the most important complex part in cloud computing. The ultimate aim of global scheduler is to...
This paper investigates the trade off between consumer satisfaction and the electricity cost. Due to forecast error in day ahead low price energy procurement and random realization of real time renewable dc power, it is difficult for an Intelligent Energy Management (IEM) operator to guarantee a satisfaction level to its users. The problem is more complex in the context of hybrid AC/DC smart grid,...
The smart grid opens the possibility for Demand Response (DR) programs. In order for end-users to obtain the maximal benefit from DR programs, low priority load should be shifted from the high energy price periods or should be operated at reduced power levels. To that end, this paper proposes a linear programming model which reschedules the household appliances at relatively lower energy price periods...
Cloud computing has recently emerged as a convergence of concepts such as cluster computing, grid computing, utility computing, and virtualization. In hybrid clouds, the user has its private cloud available for use, but she can also request new resources to public clouds in a pay-per-use basis when there is an increase in demand. In this scenario it is important to decide when and how to request these...
Distributed platforms become heterogeneous in more and more domains, as heterogeneous computing (HC) onto grids or reconfigurable factories in the industry. For production grids and factories, it is mandatory to control and optimize the economic cost of a such platforms regarding performance objectives. We present in this paper a study which purpose is to optimize the size of such environments depending...
Fast technology improvement and product replacement lead to a rapid decline in average selling prices of semiconductor products. It is observed from historical data that such price decline follows a predictable, stable rate. A quantitative estimation of these decline rates can be incorporated into fab planning and scheduling based on optimization of the total realized revenue, which is affected by...
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