The grid
Future Generation Computer Systems - Special issue on metacomputing
Gathering at the well: creating communities for grid I/O
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Giggle: a framework for constructing scalable replica location services
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Chameleon: A Resource Scheduler in A Data Grid Environment
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
A Study of Deadline Scheduling for Client-Server Systems on the Computational Grid
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Fault-tolerant grid architecture and practice
Journal of Computer Science and Technology - Grid computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A monitoring service for large-scale dynamic query optimisation in a grid environment
International Journal of Web and Grid Services
DGSS: A Dependability Guided Job Scheduling System for Grid Environment
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Using network information to perform meta-scheduling in advance in grids
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Network-aware meta-scheduling in advance with autonomous self-tuning system
Future Generation Computer Systems
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
On the Improvement of Grid Resource Utilization: Preventive and Reactive Rescheduling Approaches
Journal of Grid Computing
Computers and Operations Research
Improving cloud infrastructure utilization through overbooking
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Hopfield neural network for simultaneous job scheduling and data replication in grids
Future Generation Computer Systems
Cloudy with a Chance of Load Spikes: Admission Control with Fuzzy Risk Assessments
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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In data-intensive applications, such as high-energy physics, bio-informatics, we encounter applications involving numerous jobs that access and generate large datasets. Effective scheduling of such applications is a challenge, due to the need to consider for both computational resources and data storage resources. In this paper, we describe an adaptive scheduling model that considers availability of computational, storage and network resources. Based on this model we implement a scheduler used in our campus grid. The results achieved by our scheduler have been analysed by comparing with greedy algorithm that is widely used in computational grids and some data grids.