Future Generation Computer Systems - Special issue on metacomputing
A secure communications infrastructure for high-performance distributed computing
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
NAS Grid Benchmarks: A Tool for Grid Space Exploration
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
End-to-end quality of service for high-end applications
End-to-end quality of service for high-end applications
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
A Grid service broker for scheduling e-Science applications on global data Grids: Research Articles
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
Future Generation Computer Systems - Special section: Information engineering and enterprise architecture in distributed computing environments
Scientific Programming - AxGrids 2004
Fostering Asynchronous Collaborative Visualization
IV '07 Proceedings of the 11th International Conference Information Visualization
An autonomic network-aware scheduling architecture for grid computing
Proceedings of the 5th international workshop on Middleware for grid computing: held at the ACM/IFIP/USENIX 8th International Middleware Conference
A meta-scheduling service for co-allocating arbitrary types of resources
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
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
A Grid resource brokering strategy based on resource and network performance in Grid
Future Generation Computer Systems
A GridWay-based autonomic network-aware metascheduler
Future Generation Computer Systems
| Hi-index | 0.00 |
Grid computing is the key enabling technology to aggregate geographically distributed resources in the context of a particular application. As Grids are extremely distributed systems, requirements on the communication network should also be taken into account when performing usual tasks such as scheduling, migrating or monitoring of jobs. Note that users, services, and data need to communicate with each other over networks, thus the network should be used in an efficient and fault-tolerant way. There are Grid schedulers that consider the network when performing their tasks, but the way they have been implemented does not allow easy extensions. Thus, they are not suitable to be modified and try different scheduling approaches. The authors have extended the GridWay metascheduler to perform scheduling considering the network status. This is the first step in order to proceed with more complicated and efficient scheduling and reservation processes. In this work, the extension has been evaluated by means of a testbed, in which users simultaneously submit different jobs with different frequencies to GridWay. Results presented here show that the response time perceived by Grid users is reduced when data on network performance are considered in the job scheduling process.