Consider a workload in which massively parallel tasks that require large resource pools are interleaved with short tasks that require fast response but consume fewer resources. We...
Mark Silberstein, Dan Geiger, Assaf Schuster, Miro...
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication ...
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrel...
Existing schemes for cache energy optimization incorporate a limited degree of dynamic associativity: either direct mapped or full available associativity (say 4-way). In this pap...
We have implemented an object-oriented real-time database system called BeeHive. Using BeeHive, the performance of two data-deadline cognizant scheduling policies, called EDDF and...