The grid
Journal of Parallel and Distributed Computing
Constructing the ASCI Computational Grid
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
High Performance Parametric Modeling with Nimrod/G: Killer Application for the Global Grid?
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Scheduling in the Grid application development software project
Grid resource management
Condor and preemptive resume scheduling
Grid resource management
Grid resource management in legion
Grid resource management
Multicriteria aspects of Grid resource management
Grid resource management
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Multiround Algorithms for Scheduling Divisible Loads
IEEE Transactions on Parallel and Distributed Systems
The Computational and Storage Potential of Volunteer Computing
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Supporting schedules of resource co-allocation for distributed computing in scalable systems
Programming and Computing Software
Scheduling mixed-parallel applications with advance reservations
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Safety Strategies of Scheduling and Resource Co-allocation in Distributed Computing
DEPCOS-RELCOMEX '08 Proceedings of the 2008 Third International Conference on Dependability of Computer Systems DepCoS-RELCOMEX
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
Multi-site scheduling with multiple job reservations and forecasting methods
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
Multicriteria scheduling strategies in scalable computing systems
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
Job control in distributed environments with non-dedicated resources
Journal of Computer and Systems Sciences International
Slot selection and co-allocation for economic scheduling in distributed computing
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
Packet task processing in distributed computational environments with inalienable resources
Automation and Remote Control
Economic model of scheduling and fair resource sharing in distributed computations
Programming and Computing Software
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This paper presents the scheduling strategies framework for distributed computing. The fact that architecture of the computational environment is distributed, heterogeneous, and dynamic along with autonomy of processor nodes, makes it much more difficult to manage and assign resources for job execution which fulfils user expectations for quality of service (QoS).The strategies are implemented using a combination of job-flow and application-level techniques of scheduling and resource co-allocation within virtual organizations of Grid. Applications are regarded as compound jobs with a complex structure containing several tasks. Strategy is considered as a set of possible job scheduling variants with a coordinated allocation of the tasks to the processor nodes. The choice of the specific variant depends on the load level of the resource dynamics and is formed as a resource request, which is sent to a local batch-job management system.