Network-aware heuristics for inter-domain meta-scheduling in Grids

作者:

Highlights:

摘要

Grid computing generally involves the aggregation of geographically distributed resources in the context of a particular application. As such resources can exist within different administrative domains, requirements on the communication network must also be taken into account when performing meta-scheduling, migration or monitoring of jobs. Similarly, coordinating efficient interaction between different domains should also be considered when performing such meta-scheduling of jobs. A strategy to perform peer-to-peer-inspired meta-scheduling in Grids is presented. This strategy has three main goals: (1) it takes the network characteristics into account when performing meta-scheduling; (2) communication and query referral between domains is considered, so that efficient meta-scheduling can be performed; and (3) the strategy demonstrates scalability, making it suitable for many scientific applications that require resources on a large scale. Simulation results are presented that demonstrate the usefulness of this approach, and it is compared with other proposals from literature.

论文关键词:Grid computing,Network-aware,Inter-domain,Peer-to-peer,Meta-scheduling

论文评审过程:Received 8 April 2009, Revised 3 September 2009, Available online 29 January 2010.

论文官网地址:https://doi.org/10.1016/j.jcss.2010.01.006