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With the converging of grid computing and Web service, grid has extended its territory from traditional computing grid to service-oriented grid, which is aiming to realize coordinated resource sharing and problem solving through service selection and composition. Therefore, selecting credible services for applications becomes a key issue in grid environment. Current research on trust inherits the...
In this work we present optimizations of a grid-based projector-augmented wave method software, GPAW for the Blue Gene/P architecture. The improvements are achieved by exploring the advantage of shared and distributed memory programming also known as hybrid programming. The work focuses on optimizing a very time consuming operation in GPAW, the finite-different stencil operation, and different hybrid...
Public resource computing depends on the availability of computing resources that have been contributed by individuals. The amount of resources can be increased by incentivizing resource providers through payment for resources. However, there are costs associated with providing resources for public grid computing. Without an understanding of these costs, it is impossible for a provider to judge if...
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...
With the fast growth of grid service demands, an efficient resource management mechanism is required. Business-oriented algorithms were shown to be adequate to resolve such a problem. Business models mainly consider the problem of computing, storage and network resources virtualization. This paper investigates the problem of resource allocation under flexible traffic in market-oriented grids. We consider...
The emergence of new grid services requires the definition of suited business models taking into account the expectations of both end-users and resource providers. Basically, such business models consider the problem of computing, storage and network resources virtualization. The optimization of resource utilization may be carried out either in discrete time or in continuous time. In previous works,...
Grid computing is now a viable computational paradigm for executing large scale workflow applications. However, many aspects of performance optimization remain challenging. In this paper, we focus on the workflow scheduling mechanism. While there is much work on static scheduling approaches for workflow applications in parallel environments, little work has been done on a real-world multi-cluster...
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...
Thanks to advances in wide-area network technologies and the decreasing cost of computing resources, Grid computing is now a viable computational paradigm. However, many aspects of successfully using the Grid remain research topics. Among them, we identify scheduling of workflow applications as a key problem. While there is much work on static scheduling approaches for workflow applications in parallel...
Service level agreements (SLAs) are currently one of the major research topics in Grid Computing. Among many system components for supporting of SLA-aware Grid-based workflows, the SLA mapping module receives an important position. Mapping light communication workflows is one main part of the mapping module. With the previously proposed mapping algorithm, the mapping module may become the bottleneck...
Video grid is a leading development direction of multimedia in the future, which integrates varied technologies of multimedia. Video grid simulator is able to detect the deficiencies in the video grid while simulating the process of the real situation of video grid. It can improve the performance of video grid by optimizing the system design of video grid. The paper introduces varied grid simulators...
In this paper, we propose a resource broker, which providing a friendly interface for accessing available and appropriate resources via user credentials, is developed on a platform constructed by employing the Globus toolkit. This broker not only deploys a domain-based network information model and its dynamic version to measure network status by invoking Network Weather Service (NWS) on grid computing...
Data grids are a very important and useful technique for solving problems created by the large amounts of data scientific experiments and simulations produce. Data replication, a technique much discussed by data grid researchers in past years, creates multiple copies of files and stores them in convenient locations to shorten file access times. In this paper, we propose a dynamic replication maintenance...
In this paper, we investigate the problem of distributed computing in tactical wireless sensor networks (WSNs). The constituent nodes of such WSNs are individually resource poor, but are collectively capable of carrying out significant calculations, if appropriately orchestrated. We propose a general distributed wireless ad hoc grids (DWAG) paradigm, exploiting concepts from the field of computational...
A variety of file replication algorithms are proposed for Data Grids in the literature. Most of these algorithms ignore real-time Grid applications which are emerging in many disciplines of science and engineering today. Thus, it is important to study and improve the real-time performance of these file replication algorithms. Based on this motivation, in this study, performance of four replication...
In pipeline computation, a task is divided into a sequence of stages executed concurrently on different computing resources. When running on grid, the cost of pipeline computation depends not only on the computation time of each stage, but the communication time to send intermediate data from one stage to another as well. Thus, such stages must be placed on nodes with proper computing resources and...
Data intensive applications, such as high energy physics, usually have a large amount of input data requires analysis. These data are often shared and replicated across the data grid. As the computing power increases, the delay caused by "waiting for input data" will become more pronounced. In this paper, we study the impact of parallel download on job scheduler performance in data grid...
Use of grid resources has been free so far and a trend is developing to charge the users. The challenges that characterize a grid resource pricing model include the dynamic ability of the model to provide a high satisfaction guarantee measured as quality of service (QoS) - from users perspectives, profitability constraints - from the grid operator perspectives, and the ability to orchestrate grid...
A myriad of recent activities can be seen towards dynamic workflow composition for processing complex and data intensive problems. Meanwhile, the simultaneous emergence of the grid has marked a compelling movement towards making datasets and services available for ubiquitous access. This development provides new challenges for workflow systems, including heterogeneous data repositories and high processing...
Performance is a main issue in parallel application development. Dynamic tuning is a technique that acts over application parameters to raise execution performance indexes. To perform that, it is necessary to collect measurements, analyze application behavior using a performance model and carry out tuning actions. Computational Grids present proclivity for dynamic changes on their features during...
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