Modern operating systems
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Grid load balancing using intelligent agents
Future Generation Computer Systems
Performance-Aware Workflow Management for Grid Computing
The Computer Journal
Task scheduling strategies for workflow-based applications in grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
A comparison of multiprocessor task scheduling algorithms with communication costs
Computers and Operations Research
An adaptive gateway discovery for mobile ad hoc networks
Proceedings of the 5th ACM international workshop on Mobility management and wireless access
Scheduling strategies for mapping application workflows onto the grid
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
A toolkit for modelling and simulating data Grids: an extension to GridSim
Concurrency and Computation: Practice & Experience
A novel architecture for data mining grid scheduler
WSEAS TRANSACTIONS on SYSTEMS
Run-time Optimisation of Grid Workflow Applications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
On the parallelism of I/O scheduling algorithms in MEMS-based large storage systems
WSEAS Transactions on Information Science and Applications
Evolutionary Fuzzy Scheduler for Grid Computing
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
A multiagent grid metascheduler
WSEAS Transactions on Computers
Solving traveling salesman problem on cluster compute nodes
WSEAS Transactions on Computers
Auction resource allocation mechanisms in grids of heterogeneous computers
WSEAS Transactions on Computers
Optimal size of kanban board in a single stage multi product system
WSEAS Transactions on Systems and Control
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The new paradigm of distributed computation, grid computing, has given rise to a large amount of research on resource scheduling. Unlike the distributed computation, grid computing uses heterogeneous resources, for what grid computing entails new challenges as the adaptation of parallel algorithms before developed for homogeneous resources cluster to the dynamic and heterogeneous resources. In this paper we present a dynamic-balanced scheduler for grid computing that solves two typical kinds of problems of grid computing, using for them the cycles of some resources of the grid. The first problem is based on iterative tasks that usually appear in optimization problems. The second problem is a directed acyclic graph (DAG) problem. Experimental results using dynamic-balanced scheduler show that it is possible to obtain an improved use of the resources in the grid. This strategy enables to adapt the length of a task to the computing capacity of each resource at any given moment. Furthermore, this scheduling strategy enables to execute all the tasks in a shorter time.