Despite extensive research focused on enabling QoS for grid users through economic and intelligent resource provisioning, no consensus has emerged on the most promising strategies. On top of intrinsically challenging problems, the complexity and size of data has so far drastically limited the number of comparative experiments. An alternative to experimenting on real, large, and complex data, is to look for well-founded and parsimonious representations. The goal of this paper is to answer a set of preliminary questions, which may help steering the design of those along feasible paths: is it possible to exhibit consistent models of the grid workload? If such models do exist, which classes of models are more appropriate, considering both simpl...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
In the mid 1990s, the grid computing community promised the "compute power grid," a utility computin...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
Despite extensive research focused on enabling QoS for grid users through economic and intelligent r...
International audienceDespite extensive research focused on enabling QoS for grid users through econ...
International audienceDespite intense research on grid scheduling, differentiated quality of service...
International audienceGrids reliability remains an order of magnitude below clusters on production i...
International audienceIt is commonly observed that production grids are inherently unreliable. The a...
Research Report I3S laboratory, number I3S/RR-2009-17-FR, Sophia AntipolisProduction-grid users expe...
Since the mid 1990s, grid computing systems have emerged as an analogy for making computing power as...
Scientic communities are using a growing number of distributed systems, from lo- cal batch systems, ...
The grid computing vision promises to provide the needed platform for a new and more demanding range...
theme du Workshop : Workload characterization and modellingWith Grids, we are able to share computin...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
In the mid 1990s, the grid computing community promised the "compute power grid," a utility computin...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
Despite extensive research focused on enabling QoS for grid users through economic and intelligent r...
International audienceDespite extensive research focused on enabling QoS for grid users through econ...
International audienceDespite intense research on grid scheduling, differentiated quality of service...
International audienceGrids reliability remains an order of magnitude below clusters on production i...
International audienceIt is commonly observed that production grids are inherently unreliable. The a...
Research Report I3S laboratory, number I3S/RR-2009-17-FR, Sophia AntipolisProduction-grid users expe...
Since the mid 1990s, grid computing systems have emerged as an analogy for making computing power as...
Scientic communities are using a growing number of distributed systems, from lo- cal batch systems, ...
The grid computing vision promises to provide the needed platform for a new and more demanding range...
theme du Workshop : Workload characterization and modellingWith Grids, we are able to share computin...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
In the mid 1990s, the grid computing community promised the "compute power grid," a utility computin...
Grid computing promises large scale computing facilities based on distributed systems. Much research...