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ACM Computing Surveys (CSUR)

Resumen/Descripción – provisto por la editorial en inglés
A journal of the Association for Computing Machinery (ACM), which publishes surveys, tutorials, and special reports on all areas of computing research. Volumes are published yearly in four issues appearing in March, June, September, and December.
Palabras clave – provistas por la editorial

No disponibles.

Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde mar. 1969 / hasta dic. 2023 ACM Digital Library

Información

Tipo de recurso:

revistas

ISSN impreso

0360-0300

ISSN electrónico

1557-7341

Editor responsable

Association for Computing Machinery (ACM)

País de edición

Estados Unidos

Fecha de publicación

Tabla de contenidos

The MITRE Multi-Modal Logger

Samuel Bayer; Laurie E. Damianos; Robyn Kozierok; James Mokwa

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 17

The MITRE map navigation experiment

Jeffrey L. Kurtz; Laurie E. Damianos; Robyn Kozierok; Lynette Hirschman

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 18

Introduction to the electronic symposium on computer-supported cooperative work

Kevin L. Mills

<jats:p>Computer-supported cooperative work (CSCW) holds great importance and promise for modern society. This paper provides an overview of seventeen papers comprising a symposium on CSCW. The overview also discusses some relationships among the contributions made by each paper, and places those contributions into a larger context by identifying some of the key challenges faced by computer science reseachers who aim to help us work effectively as teams mediated through networks of computers. The paper also describes why the promise of CSCW holds particular salience for the U.S. military. In the context of a military setting, the paper describes five particular challenges for CSCW researchers. While most of these challenges might seem specific to military environments, many others probably already face similar challenges, or soon will, when attempting to collaborate through networks of computers. To support this claim, the paper includes a military scenario that might hit fairly close to home for many, and certainly for civilian emergency response personnel. After discussing the military needs for collaboration technology, the paper briefly outlines for motivation for a recent DARPA research program along these lines. That program, called Intelligent Collaboration and Visualization, sponsored the work reported in this symposium.</jats:p>

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 105-115

Client-server computing in mobile environments

Jin Jing; Abdelsalam Sumi Helal; Ahmed Elmagarmid

<jats:p> Recent advances in wireless data networking and portable information appliances have engendered a new paradigm of computing, called <jats:italic>mobile computing</jats:italic> , in which users carrying portable devices have access to data and information services regardless of their physical location or movement behavior. In the meantime, research addressing information access in mobile environments has proliferated. In this survey, we provide a concrete framework and categorization of the various ways of supporting mobile client-server computing for information access. We examine characteristics of mobility that distinguish mobile client-server computing from its traditional counterpart. We provide a comprehensive analysis of new paradigms and enabler concepts for mobile client-server computing, including mobile-aware adaptation, extended client-server model, and mobile data access. A comparative and detailed review of major research prototypes for mobile information access is also presented. </jats:p>

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 117-157

Comparison of access methods for time-evolving data

Betty Salzberg; Vassilis J. Tsotras

<jats:p>This paper compares different indexing techniques proposed for supporting efficient access to temporal data. The comparison is based on a collection of important performance criteria, including the space consumed, update processing, and query time for representative queries. The comparison is based on worst-case analysis, hence no assumptions on data distribution or query frequencies are made. When a number of methods have the same asymptotic worst-case behavior, features in the methods that affect average case behavior are discussed. Additional criteria examined are the pagination of an index, the ability to cluster related data together, and the ability to efficiently separate old from current data (so that larger archival storage media such as write-once optical disks can be used). The purpose of the paper is to identify the difficult problems in accessing temporal data and describe how the different methods aim to solve them. A general lower bound for answering basic temporal queries is also introduced.</jats:p>

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 158-221

Computing surveys' electronic symposium on the theory of computation

P. Degano; R. Gorrieri; A. Marchetti-Spaccamela; P. Wegner

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 1

Network design and improvement

H. Noltemeier; H.-C. Wirth; S. O. Krumke

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 2

Algorithm engineering

Giuseppe Cattaneo; Giuseppe Italiano

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 3

On-line algorithms

Susanne Albers; Stefano Leonardi

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 4

Program analysis games

Chris Hankin; Pasquale Malacaria

Palabras clave: General Computer Science; Theoretical Computer Science.

Pp. 5