This handbook provides an up-to-date compendium of fundamental computer science
topics, techniques, and applications. Along with updating and revising many of the existing …

An algorithm for locating quasi-frontal views of human faces in cluttered scenes is
presented. The algorithm works by coupling a set of local feature detectors with a statistical …

Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms
presents a rigorous yet accessible treatment of theoretical models of parallel computation …

Scheduling problems are already difficult on traditional parallel machines, and they become
extremely challenging on heterogeneous clusters. In this paper, we deal with the problem of …

Multiple applications that execute concurrently on heterogeneous platforms compete for
CPU and network resources. In this paper, we consider the problem of scheduling …

Recently, there has been a dramatic increase in the popularity of cloud computing systems
that rent computing resources on-demand, bill on a pay-as-you-go basis, and multiplex …

This paper addresses the problem of minimizing the scheduling length (make-span) of a
batch of jobs with different arrival times. A job is described by a direct acyclic graph (DAG) of …

We consider the problem of scheduling an application on a computing system consisting of
heterogeneous processors and data repositories. The application consists of a large number …

Virtual Organization Clusters (VOCs) are a novel mechanism for overlaying dedicated
private cluster systems on existing grid infrastructures. VOCs provide customized …

Presenting a complementary perspective to standard books on algorithms, A Guide to
Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for …