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Many-core architectures such as graphics processing units (GPUs) rely on thread-level parallelism (TLP)to overcome pipeline hazards. Consequently, each core in a many-core processor employs a relatively simple in-order pipeline with limited capability to exploit instruction-level parallelism (ILP). In this paper, we study the ILP impact on the throughput-oriented many-core architecture, including...
In order to help endusers to manage their concerned resources easily in Grid system, one model based on deployment is proposed in this paper. By introducing deployment idea and related operations, our model can find out all the required ones from numerous resources in Grid system according to endusers' requirements. Under this model, one uniform management operation for resources is designed to provide...
Grid systems tend to grow in size, but currently deployed state-of-the-art schedulers have inherent scalability limits due to centralization. In this paper, we present a novel, fully decentralized scheduling approach for Grid Computing. The approach is inspired from the gravitational field in physics. In the approach, a task autonomously selects a suitable computing node based on local information...
In this paper, we propose an ordinal optimization (OO) based algorithm for solving the resource allocation optimization problem of grid computing system to maximize the service reliability. An approximate model is firstly proposed to estimate the service reliability of a resource allocation design within a tolerable computation time. Next, we employ the proposed algorithm to solve the resource allocation...
Many of large-scale scientific applications executed on present-day Grids, such as bioinformatics and computational chemistry, are expressed as complex workflows. To enhance Grid computing paradigm, Web Service has emerged as the de-facto communication mechanism in Grid environments. However, in heterogeneous and dynamic Grid environments, Web Services of the same type and similar functionalities...
In e-Science environment researchers intend to be informed of events related with their works, including the current states of computing services, service workload and so on. So it is necessary to provide a Publish/Subscribe System in e-Science environment. Also there are some issues in Broker Management in Publish/Subscribe System, such as the abnormal breakdown and the overload of broker. An effective...
Currently, grid becomes increasingly a huge system, which contains a multitude of resources such as CPUs, memories, databases, software and so on. In most cases, the users only need limited resources in their work instead of all the resources in the grid, so it is a new problem in grid computing. Therefore, we propose a novel architecture for deploying e-Science on top of grid platform. And we design...
Before the emergence of the concept e-science, applications and resources in research and scientific areas have existed as grid applications. In order to use the already existing applications and resources efficiently in e-science, an urgent problem to the "grid people" is how to integrate those heritage grid systems as the grid-based applications. There are many grid applications are well...
Recently, grid computing related researches have flourished in China. e-Science, which aims to create an enabling grid-based infrastructure appropriate for the science drivers, also has gradually played an important role in scientific communities. Initially, e-Science was always interlaced with grid directly, which resulted in the maintenance of e-Science applications involved in embarrassment. Therefore,...
Classical approaches to implement Grid resource information service (GRIS) are either centralized or hierarchical. It will result in problems of scalability and single point of failure as the scale of Grid systems rapidly increases. To address scalability and reliability of Grid Resource Information Service, we proposed a distributed resource information service model that extends the information...
For the heterogeneous and dynamic nature of grid environments, the ability to accurately and timely predict future capabilities of resources is very important. Autoregressive models are appropriate and much less expensive for predicting host load, but Autoregressive modeling includes a model identification procedure, that is, it is necessary to choose the order that best describes the host load variety...
As the computer data storage capacity increases and technology of digital imaging progresses rapidly, today we can access and manipulate huge image database on the Internet. How to search and access intelligently on content based image database become an important focus in the field of multimedia research. In this study, a preliminary system of grid-distributed, contextual and semantic based, intelligent...
The emerging computational grid infrastructure consists of heterogeneous resource in widely distributed autonomous domains, which makes resource scheduling even more challenging. In this paper, we propose an adaptive resource scheduling algorithm for computational grid called BLBD (based on load balancing and demand). According to the computational grid job's personal resource requirements, the system...
We designed a grid computing model in math based on current network computing technologies. MICE is an emerging technology to provide uniform programming, task submission, and management specifications across the large scale distributed computing nodes which deployed some famous mathematical software. MICE utilizes a three-level architecture that shields users from low-level computing resource discovery...
The problem of how to allocate the resources optimally and adaptively in the dynamic, scalable and distribute-controlled grid environment is introduced and discussed numerously. But recent researches can't satisfy with the needs of resource allocation in grid system thoroughly. In this paper, we use the SuperScheduling concept in grid system, which is with no explicit model. And we introduce ant colony...
Grid computing technologies have played an important role in both scientific and commercial communities. Initially, grid applications were concerned principally on the storage, replication and movement of file-based data, but now they are increasingly being used in many relative areas of e-Science and e-Business. The need for data access and integration becomes widely aware. In this paper, the Muse...
Efficient scheduling has emerged as a fundamental problem in grid computing systems. Since finding an optimal scheduling on the system to minimize the program completion time is a well-known NP-complete problem in general, researchers have resorted to devising efficient heuristics. In this paper, we present a dynamic scheduling heuristic which is appropriate for the grid computing systems, with the...
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