Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
G-lambda: coordination of a grid scheduler and lambda path service over GMPLS
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Experiences with the KOALA co-allocating scheduler in multiclusters
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Proceedings of the first international conference on Networks for grid applications
Resource co-allocation for large-scale distributed environments
Proceedings of the 18th ACM international symposium on High performance distributed computing
Rescheduling co-allocation requests based on flexible advance reservations and processor remapping
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Concurrency and Computation: Practice & Experience
QBETS: queue bounds estimation from time series
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
Economic co-allocation and advance reservation of network and computational resources in grids
GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
Hi-index | 0.00 |
Co-allocation of performance-guaranteed computing and network resources provided by several administrative domains is one of the key issues for constructing a QoS-guaranteed Grid. We propose an advance reservation-based co-allocation algorithm for both computing and network resources on a QoS-guaranteed Grid, modeled as an integer programming (IP) problem. The goal of our algorithm is to create reservation plans satisfying user resource requirements as an on-line service. Also the algorithm takes co-allocation options for user and resource administrator issues into consideration. We evaluate the proposed algorithm with extensive simulation, in terms of both functionality and practicality. The results show: The algorithm enables efficient coallocation of both computing and network resources provided by multiple domains, and can reflect reservation options for resource administrators issues as a first step. The calculation times needed for selecting resources using an IP solver are acceptable for an on-line service.