Two fundamental problems in distributed network architecture grid, are Search and optimal timing for detecting the source for proper distribution of requests Scheduling and optimal scheduling is to minimize time and c...
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ISBN:
(纸本)9781618040343
Two fundamental problems in distributed network architecture grid, are Search and optimal timing for detecting the source for proper distribution of requests Scheduling and optimal scheduling is to minimize time and costs. In this paper a new approach to both The process of dividing the dependent and independent processing and load balancing processing is provided. Breastfed of ants algorithm based approach presented and in this graph corresponds to the load balancing ants algorithm may be used for load balancing. The use of this algorithm, another algorithm is used to optimize the timing that The registration schedule for each node in the runtime on each node for this request will take less time. With use a comparison, Can provide estimates for the timing and the estimated timing for a more efficient detection and application processing time, needed to be added. Simulations done, Show that with the algorithms presented Level can significantly increase the efficiency of distribution networks with architectural grid.
an integration of heterogeneous resources based on semantic grid is presented after thorough studies have been conducted on heterogeneous database integration of digital university libraries. Using OGSA-DAI middleware...
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In a thin client computing architecture, application processing is delegated to a remote server rather than running the application locally. User input is forwarded to the server, and the rendered images are relayed t...
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In a thin client computing architecture, application processing is delegated to a remote server rather than running the application locally. User input is forwarded to the server, and the rendered images are relayed through a dedicated remote display protocol to the user's device. Thin-client computing offers the promise of easier-to-maintain computational services with reduced total cost of ownership. With the increasingly development of cloud technology, the server side of thin client architecture is able to be deployed in cloud, thus makes the full use of the features of the cloud, for example, virtualization, flexibility, security, and dynamic management. Meanwhile the client side can also use the mobile thin device. The traditional thin client architecture, which is platform-dependant, however, limits the most benefit of the software providers and end-users. So we propose multi-platform thin client architecture, which use VNC (Virtual Network computing) protocol and run in the cloud environment. In this architecture, both side of the service will benefit a lot. In the one hand, the end-user can use cheap, light mobile terminal which enjoy all kind of software service of different platform. In the other hand, the software provider or developer can get more benefit with more download mass and wider circulated. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Intelligent Information Technology Application Research Association.
Business rules (a.k.a. integrity constraints) are crucial for maintaining the consistency of business intelligence data. However, business rule enforcement may easily be derailed by concurrent transactions. The proble...
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The purpose of the cloud-Enabled Space Weather Platform (CESWP) project is to bring the power and flexibility of cloudcomputing to space weather physicists. The goal is to lower the barriers for the physicists to con...
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cloud services are generally deployed in dedicated machines within Data-center. A cloud using distributed services and voluntary resources to build up its data center, where storage and computational resources of part...
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gridcomputing has made it possible for users to execute computationally expensive applications on dynamically acquired distributed resources. Users are allowed to combine data and analysis components distributed over...
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The content business has witnessed a turning point toward service engineering. Information was a precious resource in the past, however, that is not so true anymore. Content providers need to address the issue of how ...
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ISBN:
(纸本)9783642239472
The content business has witnessed a turning point toward service engineering. Information was a precious resource in the past, however, that is not so true anymore. Content providers need to address the issue of how they position themselves in terms of their standpoint on servicization. Mobile social games are increasingly attracting attention from the viewpoint of revenue-generating engines. The massive revenue-generating capability of mobile social games has accelerated the advances in service engineering. The author focuses on a mobile social game called "Peony Garden" and discusses the implications of servicization in the mobile content.
In this paper, we describe a parallel algorithm for LDPC (Low Density Parity Check codes) decoding on a GPU (Graphics Processing Unit) using CUDA (Compute Unified Device Architecture). The strategy of the kernel grid ...
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In this paper, we describe a parallel algorithm for LDPC (Low Density Parity Check codes) decoding on a GPU (Graphics Processing Unit) using CUDA (Compute Unified Device Architecture). The strategy of the kernel grid and block design is shown and the multiword decoding operation is described using tridimensional blocks. The performance (speedup) of the proposed parallel algorithm is slightly better than the performance found in the literature when this is relatively good, and shows a great improvement in those cases with previously reported moderate or bad performance.
作者:
Liu, ZhenLiu, MengWeb Science Center
School of Computer Science and Engineering University of Electronic Science and Technology of China 610054 Chengdu China
As a distributedcomputing framework, MapReduce partially overcomes centralized system's limitations about computation and storage. However, for matrix computation, there is a paradox between distributed data stor...
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