This work describes the Grid and cluster scheduling simulator Alea 2 designed for study,
testing and evaluation of various job scheduling techniques. This event-based simulator is …

In grid and cloud computing environment, many users compete for the resources, so the
schedule should be generated in the shortest possible time. To address this problem, there …

During the past decades scheduling has been among the most studied optimization
problems and it is still an active area of research! Scheduling appears in many areas of …

In this chapter, we review a few important concepts from Grid computing related to
scheduling problems and their resolution using heuristic and meta-heuristic approaches …

We address the problem of applying powerful pattern recognition algorithms based on
kernels to efficient visual tracking. Recently S. Avidan,(2001) has shown that object …

Despite recent advances, grid and P2P systems remain difficult for many users to bring to
real-world applications. One difficulty is the lack of schedulers for such systems. In this work …

Due to the complex nature of Grid systems, the design of efficient Grid schedulers is
challenging since such schedulers have to be able to optimize many conflicting criteria in …

Task scheduling plays a vital role in distributed computing. It enhances the performance of
the system as it minimizes the overall execution time and reduces overhead problems like …

Job Scheduling on Computational Grids is gaining importance due to the need for efficient
large-scale Grid-enabled applications. Among different optimization techniques addressed …

The efficient allocation of jobs to grid resources is indispensable for high performance grid-
based applications, and it is a computationally hard problem even when there are no …