Enabling Interoperability among Grid Meta-Schedulers

Development of information technology of tasks distribution for grid-systems using the grass simulation environment

“…However, even here, the optimization is performed at the level of selection of the best available computational resources. Many algorithms are not focused on advanced reservation, and are based on the priority of the tasks in a queue [7,8]. However, the use of advanced reservation [1-3, 9, 10] gives a gain in a performance time of the task pool, which in turn, can reduce the downtime of computational resources in the system.…”

Federating Advanced Cyberinfrastructures with Autonomic Capabilities

“…Among the grid federation efforts we can find InterGrid [9] along with the work by Assuncao et al [3] that promotes interlinking different grid systems through economic-based peering agreements to enable inter-grid resource sharing, Gridway [67] through its grid gateways [22] along the work by Leal et al [35] that proposed a decentralized model for scheduling on federated grids to improve makespan and resource performance, LAGrid meta-scheduling [5,55,59] that promotes interlinking different grid systems through peering agreements to enable inter-Grid resource sharing, Koala [39] with the use of delegated matchmaking [24] to obtain the matched resources from one of the peer Koala instances, VIOLA [61] that implements grid interoperability via WS-Agreement [2] and provides coallocation of multiple resources based on reservations, Grid Meta-Brokering Service (GMBS) [28,29] proposes an architecture for grid interoperability based on high level abstractions to describe the broker's capabilities and properties using a specific language [30][31][32]57], the work by Elmroth et al [13] that presents a grid resource brokering service based on grid standards, Guim et al [56] studied scheduling techniques for multi-site grid environments, and within EGEE, efforts to enable interoperability between gLite and UNICORE [14] systems [38,51].…”