A significant influence of heterogeneity and uncertainty of grid environment on quality of DAG schedules results in a search for new approaches. One of them is Internet-based computing scheduling approach and PRIO algorithm for DAG scheduling. In this paper, we present results of a detailed evaluation of the PRIO algorithms in a heterogeneous environment in which schedulers may recognize performance of resources
Computational grids have the potential for solving large-scale scientific problems using heterogene...
Abstract. Grid systems have gain tremendous importance in past years since application requirements ...
In 2006 the Route load balancing algorithm was proposed and compared to other techniques aiming at o...
Among many attempts to design DAG scheduling algorithms that would face grid environment requirement...
Abstract—In practical Cloud/Grid computing systems, DAG scheduling may be faced with challenges aris...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
Grid computing is the form of distributed computing where the resources of various computers are sha...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Grid Computing is an evolving discipline in the field of Distributed Computing, whose main focus is ...
Abstract. Many optimization techniques have been adopted for efficient job scheduling in grid comput...
Algorithm research of task scheduling is one of the key techniques in grid computing. This paper fir...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DA...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
An important problem that arises in the area of grid computing is one of optimally assigning jobs to...
Computational grids have the potential for solving large-scale scientific problems using heterogene...
Abstract. Grid systems have gain tremendous importance in past years since application requirements ...
In 2006 the Route load balancing algorithm was proposed and compared to other techniques aiming at o...
Among many attempts to design DAG scheduling algorithms that would face grid environment requirement...
Abstract—In practical Cloud/Grid computing systems, DAG scheduling may be faced with challenges aris...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
Grid computing is the form of distributed computing where the resources of various computers are sha...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Grid Computing is an evolving discipline in the field of Distributed Computing, whose main focus is ...
Abstract. Many optimization techniques have been adopted for efficient job scheduling in grid comput...
Algorithm research of task scheduling is one of the key techniques in grid computing. This paper fir...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DA...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
An important problem that arises in the area of grid computing is one of optimally assigning jobs to...
Computational grids have the potential for solving large-scale scientific problems using heterogene...
Abstract. Grid systems have gain tremendous importance in past years since application requirements ...
In 2006 the Route load balancing algorithm was proposed and compared to other techniques aiming at o...