Several models of parallel disks are found in the literature. These models have been proposed to alleviate the I/O bottleneck arising in handling voluminous data. These models hav...
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
I argue against trying to solve the problem of clustering objects into disk pages. Instead, I propose that objects be fetched in groups that may be specific to an application or ...
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Current resource managers do not have adequate node allocation and distribution strategies to efficiently schedule jobs on multi-core multi-threaded systems. Clusters composed of ...