The Grid Backfilling: a Multi-Site Scheduling Architecture with Data Mining Prediction Techniques

Job Allocation Strategies with User Run Time Estimates for Online Scheduling in Hierarchical Grids

“…The study of the impact of the user runtime estimates accuracy on the performance of the scheduling policies for parallel computers has been presented in several works (see [3,[32][33][34][35][36][37][38][39][40][41][42]). We mention here only few aspects of the problem like user runtime estimation models, the accuracy of the runtime estimates; the impact of the usage of prediction techniques in the backfilling policies; etc.…”

“…Various scheduling systems have already been proposed and implemented in different types of Grids [1][2][3][4][5][6][7][8]. Most academic studies either propose a completely distributed resource management system, see, for instance, [9], or suggest a central scheduler, see [10,11], while real installations favour a combination of decentralized and centralized structures, see [12].…”

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].…”