Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific e...
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
In this paper, we consider the problem of allocating and scheduling a collection of independent, equal-sized tasks on heterogeneous star-shaped platforms. We also address the same...
In this paper, we describe a new job scheduling class, called \Time Space Sharing Scheduling" (TSSS) for dynamically partitionable parallel machines. As an instance of TSSS, ...
Atsushi Hori, Takashi Yokota, Yutaka Ishikawa, Shu...
In this paper, we consider the joint problem of congestion control and scheduling with multi-class Quality of Service (QoS) requirements. Generally, the joint problem is formulated...