gridcomputing technologies are increasingly being used to aggregate computing resources that are geographically distributed. Commercial networks are being used to connect these resources, and thus serve as a fundamen...
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gridcomputing technologies are increasingly being used to aggregate computing resources that are geographically distributed. Commercial networks are being used to connect these resources, and thus serve as a fundamental component of gridcomputing. Since these grid resources are connected over a shared infrastructure, it is essential that we consider the effects of using this shared infrastructure during simulations. In this paper, we discuss how new additions to the gridSim simulation toolkit can be used to explore network effects in gridcomputing. We also investigate techniques to incorporate differentiated levels of service, background traffic and the collection of information from the network during runtime in gridSinn. As a result, these features enable gridSim to realistically model gridcomputing experiments. (c) 2006 Elsevier B.V. All rights reserved.
Service-oriented computing (SOC), gridcomputing, and Web2.0 computing have increasingly received momentum in both research and Industry. In this paper, we propose an abstract Web-inclusive distributedcomputing model...
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Service-oriented computing (SOC), gridcomputing, and Web2.0 computing have increasingly received momentum in both research and Industry. In this paper, we propose an abstract Web-inclusive distributedcomputing model (WIDCOM) in order to analyse these three important distributedcomputing paradigms. We then advance the notion of software in existing grid services as discussed in open grid services architecture, which provides software middleware or wrappers for accessing hardware resources towards the notion that the resources provided can be hardware, software, or hybrid hardware/software. It also proposes an approach using the integration of grid service, semantic grid, and Web2.0 to overcome some of the limitations of the existing Web services architecture, which relies on having the Web version of the RPC mechanism and thus has difficulty in dealing with massive scale of user participation and communication across the Internet The new approach produces a novel grid architecture-gridSpace. Copyright (C) 2008 John Wiley & Sons, Ltd.
The special issue of the Future Generation Computer Systems journal published the extended version of four papers selected from the 16 full papers presented at the international Symposium on gridcomputing, High-Perfo...
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The special issue of the Future Generation Computer Systems journal published the extended version of four papers selected from the 16 full papers presented at the international Symposium on gridcomputing, High-Performance and distributed Applications GADA 2007. The main goal of the GADA series of conferences, was to bring together researchers, developers, professionals, and graduates working to advance research and development in the areas of gridcomputing and distributed systems and applications. Data access, management and analysis within grid and distributed high performance environments constituted a main part of the conference to highlight the main goal. The first paper presented a comprehensive model for a fully parallelized On-Line Analytical Processing (OLAP) server. Another team of researchers showed the parallelization of two training algorithms of a multilayer perceptron artificial neural net in the second paper.
The proceedings contain 49 papers. The special focus in this conference is on Parallel and distributedcomputing, Applications and Technologies. The topics include: A real-time routing protocol in wireless sensor-actu...
ISBN:
(纸本)9789811359064
The proceedings contain 49 papers. The special focus in this conference is on Parallel and distributedcomputing, Applications and Technologies. The topics include: A real-time routing protocol in wireless sensor-actuator network;privacy preserving classification based on perturbation for network traffic;fault diagnosis of a wireless sensor network using a hybrid method;an optimization theory of home occupants’ access data for determining smart grid service;automatic classification of transformed protocols using deep learning;covert timing channel design for uniprocessor real-time systems;Parallelization of the DIANA algorithm in openMP;Flash animation watermarking algorithm based on SWF tag attributes;efficient scheduling strategy for data collection in delay-tolerant wireless sensor networks with a mobile sink;analysis of massive e-learning processes: An approach based on big association rules mining;SGNet: Design of optimized DCNN for real-time face detection;A study on L1 data cache bypassing methods for high-performance GPUs;Memory contention aware power management for high performance GPUs;Dynamic selective warp scheduling for GPUs using L1 data Cache locality information;an efficient model and algorithm for privacy-preserving trajectory data publishing;what makes charitable crowdfunding projects successful: A research based on data mining and social capital theory;A SwarmESB based architecture for an european healthcare insurance system in compliance with GDPR;a study on deriving and simulating pre-risk on complex gas facilities for preventing accidents;body gesture modeling for psychology analysis in job interview based on deep spatio-temporal approach;green vs revenue: Data center profit maximization under green degree constraints;evaluation for two bloom filters’ configuration.
The programming model of the current distributed systems such as middleware CORBA or JAVA RMI is based on remote procedure call. Without the support of high-level API for coordination, developing real-world distribute...
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ISBN:
(纸本)0769522254
The programming model of the current distributed systems such as middleware CORBA or JAVA RMI is based on remote procedure call. Without the support of high-level API for coordination, developing real-world distributedgrid applications in this model is difficult. In this paper;we present an algorithm for multiparty interaction, a key abstraction of distributed coordination for the future distributedgrid programming.
The following topics are discussed: e-Science and gridcomputing; production grids; resource management and scheduling; data management; Web services; security; P2P networking; innovative and collaborative problem sol...
The following topics are discussed: e-Science and gridcomputing; production grids; resource management and scheduling; data management; Web services; security; P2P networking; innovative and collaborative problem solving environment in distributed resources; and scientific instruments and sensors
The computing systems required to collect, analyse and store the physics data at LHC would need to be distributed and global in scope. CMS is actively involved in several grid-related projects to develop and deploy a ...
The computing systems required to collect, analyse and store the physics data at LHC would need to be distributed and global in scope. CMS is actively involved in several grid-related projects to develop and deploy a fully distributedcomputing architecture. We present here recent developments of tools for automating job submission and for serving data to remote analysis stations. Plans for further test and deployment of a production grid are also described.
gridcomputing is a type of distributedcomputing that has shown promising applications in many fields. A great concern in gridcomputing is the cheating problem described in the following: a participant is given D = ...
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ISBN:
(纸本)0769520863
gridcomputing is a type of distributedcomputing that has shown promising applications in many fields. A great concern in gridcomputing is the cheating problem described in the following: a participant is given D = {x(1),...,x(n)}, it needs to compute f(x) for all x c D and return the results of interest to the supervisor How does the supervisor efficiently ensure that the participant has computed f(x) for all the inputs in D, rather than a subset of it? If participants get paid for conducting the task, there are incentives for cheating. In this paper we propose a novel scheme to achieve the uncheatable gridcomputing. Our scheme uses a sampling technique and the Merkle-tree based commitment technique to achieve efficient and viable uncheatable gridcomputing.
In this paper we propose a new load balancing algorithm for the gridcomputing service. The proposed load balancing is based on the CPU speed of the workers in the grid system. We developed a simulation model using NS...
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ISBN:
(纸本)9780889866379
In this paper we propose a new load balancing algorithm for the gridcomputing service. The proposed load balancing is based on the CPU speed of the workers in the grid system. We developed a simulation model using NS2 to evaluate the performance of our load balancing algorithm. Our simulation results show an asymptotically optimal behaviour of our load balancing algorithms.
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