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Constructing optimal event correlation architecture is crucial to large-scale event services. It plays an instrumental role in detecting composite events requested by different subscribers in scalable and timely manner. However, events generated from different sources might have different time and priority requirements. In addition, the network links and correlation servers might have different bandwidth...
This paper presents the performance analysis of a grid-enabled MIP solver in a grid environment consisting of three clusters on a campus LAN. In particular, the paper focuses on the analysis of the behavior of the application using two networks connecting the clusters with different latency and bandwidth.
Forecasting and monitoring earth phenomenon is fundamental to reducing natural disasters hazards. However, how to react after a given disaster occurs is also a key issue that can improve response times and save lives. GISCorps is a program of the urban and Regional Information Systems Association (URISA) that coordinates short-term, volunteer-based GIS services to underprivileged communities. In case...
Applications using grid computing infrastructure usually require resources allocation to satisfy their quality of service (QoS) requirements. Given that the grid infrastructure is a set of computing resources geographically distributed, the support of grid applications requires the allocation of computing resources and bandwidth to enable communication among these resources. The objective is to accommodate...
Web services play a vital role in the paradigms of distributed computing and grid computing. Web services can be implemented in different platforms, but the most commonly used platforms are .NET and J2EE as they provide a wide variety of tools for creation and integration of Web services to any existing business application. The selection of appropriate platform for implementation is purely based...
Desktop Grids are rapidly gaining popularity as a cost-effective computing platform for the execution of applications with extensive computing needs. As opposed to grids and clusters, these systems are characterized by having a non-dedicated infrastructure. These unique characteristics need to be considered in developing resource management strategies for Desktop Grids. Several frameworks for the...
There are many grid-based applications where a timely response to an important event is needed. Often such response can require a significant computation and possibly communication, and it can be very challenging to complete it within the time-frame the response is needed. At the same time, there could be application-specific flexibility in the computation that may be desired. We have been developing...
QoS requirements of Grid users for Grid service resources always include multiple fuzzy attributes. And there is contradictory between these QoS parameters. A multi-attributes decision making method based on information entropy is utilized to weigh the importance degree of QoS parameters and solve the contradictory. In addition, evaluation factor set is classified according to the type of QoS parameters,...
In the last few years, highly distributed, heterogeneous and dynamic environments have become usual contexts for scientific and business domains. In this work, we consider query scheduling over a grid-enabled distributed database, where the data may be partially or totally replicated into the component sites. Although there have been some previous proposals for query scheduling in distributed databases,...
Workflows are widely used in applications that require coordinated use of computational resources. Workflow definition languages typically abstract over some aspects of the way in which a workflow is to be executed, such as the level of parallelism to be used or the physical resources to be deployed. As a result, a workflow management system has responsibility for establishing how best to map tasks...
P2P (peer-to-peer) teaching material sharing environments can avoid redundant efforts, and alleviate limitations resulting from centralized management and client-server modeling. However, the issues of availability and trustworthiness have to be considered in teaching material retrieval process, in order to improve the retrieval performance. Current peer-to-peer file sharing applications focus on...
The paper deals with the study of the optimisation of the distribution of the download time from a particular video on demand system. This VOD system is based on grid delivery network which is an hybrid architecture based on P2P and grid computing concepts. In this system, the data are shrunk into fixed size blocks which must be replicated on hosts to decrease the total download time. We propose an...
A methodology for dependability assessment of complex computer systems, such as fault tolerant grids, is presented in this paper. The methodology uses communication fault injection and was built by adapting a widely accepted approach for performance analysis. To demonstrate its applicability and usefulness, the methodology was applied to a third party grid platform using a fault injector we are developing...
Nodes in an ad hoc grid are characterized by heterogeneity, autonomy, and volatility. These characteristics result in varying workload of the resource manager in the ad hoc grid. Therefore it is required to develop a resource al-location mechanism that can balance the workload of there source manager, hereafter referred to as matchmaker, and can enable the ad hoc grid to self-organize itself. In this...
The integration of mobile wireless devices into grids has recently drawn the attention of research community as this integration has resulted in new challenges. Mobile grid enables the mobility of a requesting user to share unused available resources on a network required in different applications in science, health and education. These handheld devices are not capable to cope with the existing demands...
Grid technology opens the way to build collaborative environments that enable distributed multi-organizational teams to jointly use computing resources. Thus automatic resources/services discovery should be launched with the dynamicity of grid elements. Hardware and software failure can be found and solved in time by monitoring. Analyzing the gathered data could help to find performance bottleneck...
We propose routing and resource allocation algorithms for grid over OBS networks with burst retransmission with the objective of minimizing the response time and maximizing the throughput of grid services.
More and more large amounts of data shared with researchers and workstations worldwide are generated by scientific experiments and engineering applications. High performance grids aim at facilitating the distribution of such data to geographically remote places. For high performance data grids where users require remote access to large files, dynamic replication is an efficient method to improve performance...
In a growing number of scientific disciplines, large data collections are emerging as important community resources. Data and metadata management exploiting the data grid paradigm is becoming more and more important as the number of involved data sources is continuously increasing and decentralizing. Efficient grid data access services are perceived as mandatory components for data management. In...
Grid computing systems integrate geographical computing resources across virtual organizations. In grid systems, one of the most important challenges is how to efficiently exploit shared computing resources. This study addresses the job migration policies for exploiting computing resources in grid computing systems. In this study, we propose two job migration policies, the load barrier policy and...
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