This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Abstract— Ensuring performance isolation and differentiation among workloads that share a storage infrastructure is a basic requirement in consolidated data centers. Existing man...
Magnus Karlsson, Christos T. Karamanolis, Xiaoyun ...
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Over the past several decades, the compiler research community has developed a number of sophisticated and powerful algorithms for a varierty of code improvements. While there are...
Bruce R. Childers, Jack W. Davidson, Mary Lou Soff...