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One of the most important characteristics of a cloud system is elasticity in resources provisioning. Cloud fabric often composes of massive and heterogeneous types of resources allowing the sciences and engineering applications in many domains to collaboratively utilize the infrastructure. As the cloud systems are designed for a large number of users, a large volume of data, and various types of applications,...
Computational grids have become attractive and promising platforms for solving large-scale high-performance applications of multi-institutional interest. However, the management of resources and computational tasks is a critical and complex undertaking as these resources and tasks are geographically distributed and a heterogeneous in nature. This paper proposes a novel Rank Based Genetic Scheduler...
Any change in resource planning may lead to change in project duration and resources cost which will impact the total cost of the project when risk factors are taken into account. A neural network model for resource scheduling to minimize the total cost of a project was proposed to improve the situation and Morte Carlo simulation and genetic algorithm were used to solve it. A case study based on the...
This paper presents a new modeling of elevator group intelligent scheduling system with destination floor guidance. The traditional input mode of separate hall call registration and the destination selection is improved to a single-input mode that makes the acquired ensemble of hall call communication more determinate and integrated. Meanwhile, the ensemble of hall call communication is regrouped...
In recent time we spot a tendency to use the computing capacity of workstation clusters instead of investing in single machines with tremendous calculation power. Applying this idea we are able to execute multiple jobs paralelly. However, it still remains unclear how to schedule given jobs among available machines most effectively. Therefore this paper is an approach to optimization of mentioned scheduling...
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