Ricardo Ambrose ... [et al.]., Title from cover. "March, 1998.", Includes bibliographical references (p. 8-9).

This paper presents an object-oriented design and implementation of a software module to be used as the monitoring application for a Computer Integrated Building (CIB) in an intranet/extranet context., Sistemas Distribuidos - Redes Concurrencia - Sesión de pósters

Java has adopted a mechanism to support parameterized types that will be available in the next major release. A draft specification to add generics to the JavaTM Programming Language was published two years ago [1] and a new version of…

Region-based memory management offers several important advantages over garbage-collected heap, including real-time performance, better data locality and efficient use of limited memory. The concept of regions was first introduced for a call-by-value functional language by Tofte and Talpin, and has…

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Encryption Key Search is a compute-intensive operation that consists of a brute-force search of a particular key in a given key space. Sequential execution time for a 56-bit encryption key search is approximately 200,000 years and therefore it is ideal…

Mobile agent development is mainly supported by Java-based platforms. However, the weak mobility model they use, added to the inherent complexity of building location-aware software, impose strong limitations for developing mobile agents. In this article we present MoviLog, a platform…

This paper describes the design and implementation of MATLAB*G, a parallel MATLAB on the ALiCE Grid. ALiCE (Adaptive and scaLable internet-based Computing Engine), developed at NUS, is a lightweight grid-computing middleware. Grid applications in ALiCE are written in Java and…

A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities. This talk is divided into three parts. Firstly, we give an overview of the main issues in grid computing.…

I propose a technique that identifies program properties that may indicate errors. The technique generates machine learning models of run-time program properties known to expose faults, and applies these models to program properties of user-written code to classify and rank…