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The hybrid cloud infrastructure is predominantly used in both industry and academia for its reusability and scalability. In deadline-constrained applications, the estimation of application execution time is a challenging task. The factors like heterogeneity, uncertainty and provisioning time delays affect the performance of hybrid cloud environment. In this work, we proposed a hybrid cloud scheduler...
In the recent past, heterogeneous computing has gained popularity over the traditional homogeneous computing. Moreover, the upcoming processors are typically equipped with dynamic voltage and frequency scaling options to reduce energy consumption as per the application requirements. Scheduling plays a vital role for efficient parallel computing systems, and in this work, the relationship among heterogeneity,...
Grid computing can integrate computational resources from different networks or regional areas into a high presentation computational platform and be used to solve complex computing-intensive problems efficiently. Scheduling problem is an important issue in a grid computing environment, because of the heterogeneity of computing resources. Efficient Resource discovery mechanism is one of the fundamental...
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