This paper discusses the challenges in computer systems research posed by the emerging field of pervasive computing. It first examines the relationship of this new field to its predecessors: distributed systems and mobile computing. It then identifies four new research thrusts: effective use

this article we focus on the issues pertinent to software designers without delving into the lower level details of the hardware realization of mobile computers. We look at some promising approaches under investigation and also consider their limitations. The many issues to be dealt with stem from

of affective computing, especially in the form of wearable computers. This paper establishes challenges and future directions for this emerging field.

). This has enabled very compact, autonomous and mobile nodes, each containing one or more sensors, computation and communication capabilities, and a power supply. The missing ingredient is the networking and applications layers needed to harness this revolutionary capability into a complete system. We review

review articles doi:10.1145/1435417.1435435 Economic and social sciences will drive Internet protocols and services into the future.

The design challenge for large-scale multiprocessors is (1) to minimize communication overhead, (2) allow communication to overlap computation, and (3) coordinate the two without sacrificing processor cost/performance. We show that existing message passing multiprocessors have unnecessarily high

, exploit sophisticated forms of cooperative computation, and achieve high reliability. This paper reviews six years of resemr,.hon Isis, describing the model, its impl_nentation challenges, and the types of applicatiom to which Isis has been appfied. 1 In oducfion One might expect the reliability of a

Over the last couple of years, face recognition researchers have been developing new techniques. These developments are being fueled by advances in computer vision techniques, computer design, sensor design, and interest in fielding face recognition systems. Such advances hold the promise

Anytime you work with oranges and apples, you’ll need a number of schemes to organize total performance. This article surveys the challenges posed by H omogeneous computing, which uses one or more machines of the same type, has provided adequate performance for many applications in the past. Many

A number of researchers around the world have built machines that recognize, express, model, communicate, and respond to emotional information, instances of ‘‘affective computing.’ ’ This article raises and responds to several criticisms of affective computing, articulating state-of-the art