Resource federation in grid computing (Foster et al., 1999, 2001) still requires extensively intervention of resource administrator which is time and cost consuming. This limitation leads to the idea of applying the autonomous intelligent agent to ease the process of resource federation (Foster et al., 2004). The participation and contribution of resources are based on a set of rules and regula...

Workflow applications in science and engineering have steadily increased in variety and scale. Coinciding with this increase has been the relentless effort to improve the performance of these applications through exploiting the abundance of resources in hyper-scale clouds and with little attention to resources efficiency. The inefficient use of resources when executing scientific workflows resu...

Understanding the behavior of large scale distributed systems is generally extremely difficult as it requires to observe a very large number of components over very large periods of time. Most analysis tools for distributed systems gather basic information such as individual processor or network utilization. Although scalable because of the data reduction techniques applied before the analysis,...

Computer-based resources are central to much, if not most, biological and medical research. However, while there is an ever expanding choice of bioinformatics resources to use, described within the biomedical literature, little work to date has provided an evaluation of the full range of availability or levels of usage of database and software resources. Here we use text mining to process the P...

To enable Grid scalability and growth, a usage model has evolved whereby resource providers make resources available not to individual users directly, but rather to larger units, called virtual organizations. In this paper, we describe abstractions that allow resource providers to delegate the usage of remote resources dynamically to virtual organizations in applicationindependent ways, and pre...

In this paper, we propose a performance analysis of resource allocation model for grid resources under the grid computing environment. By the proposed model, we can make all grid nodes be load-balancing. The proposed model can detect the grid nodes resource status about CPU usage and memory usage, analyze the grid nodes resources load grades, and make the plans and allocations of the resources ...

The aim of a probabilistic resource analysis is to derive a probability distribution of possible resource usage for a program from a probability distribution of its input. We present an automated multiphase rewriting based method to analyze programs written in a subset of C. It generates a probability distribution of the resource usage as a possibly uncomputable expression and then transforms i...

This paper presents a quantitative evaluation of a set of approaches for increasing the accuracy of an area-based stereo matching method. It is targeting real-time FPGA systems focused on low resource usage and maximized improvement per cost unit to enable concurrent processing. The approaches are applied to a resource optimized correspondence implementation and the individual and cumulative co...

Mass customization explains the phenomenon to provide a unique designed products and services to all customer by achieving a high process integration and flexibility. It has been used as a competitive approach by many companies. Adequate resource implementation in mass customization-particularly in terms of resource usage, it is therefore important to meet customer's requirement in terms effect...

Data stream management systems need to control their resources adaptively since stream characteristics as well as query workload vary over time. In this paper we investigate an approach to adaptive resource management for continuous sliding window queries that adjusts window sizes and time granularities to keep resource usage within bounds. In order to quantify the impact of both methods on a q...