Publication

Enhancing Java Grid Computing Security with Resource Control

2004
Conference Papers

Abstract

This paper outlines an original Computational Grid deployment protocol which is entirely based on Java, leveraging the portability of this language for distributing customized computations throughout large-scale heterogeneous networks. It describes practical solutions to the current weaknesses of Java in the fields of security and resource control. In particular, it shows how resource control can be put to work not only as basis for load balancing, but also to increase the security and general attractiveness of the underlying economic model.

Official source

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2004
Conference Papers

Abstract

Official source

Related concepts (23)

Grid computing

Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed (thus not physically coupled) than cluster computers.

Economic model

In economics, a model is a theoretical construct representing economic processes by a set of variables and a set of logical and/or quantitative relationships between them. The economic model is a simplified, often mathematical, framework designed to illustrate complex processes. Frequently, economic models posit structural parameters. A model may have various exogenous variables, and those variables may change to create various responses by economic variables.

Hardware acceleration

Hardware acceleration is the use of computer hardware designed to perform specific functions more efficiently when compared to software running on a general-purpose central processing unit (CPU). Any transformation of data that can be calculated in software running on a generic CPU can also be calculated in custom-made hardware, or in some mix of both. To perform computing tasks more quickly (or better in some other way), generally one can invest time and money in improving the software, improving the hardware, or both.