Tìm thấy 20+ kết quả cho từ khóa "Distributed Computing"
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The current generation of distributed computing systems, a number of which are commercial ventures, provide the capability to run multiple applications on a collection of desktop and server computing resources . 12.3 REQUIREMENTS FOR DISTRIBUTED COMPUTING.
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Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing (HPDC8), 1999.. Proceedings of the Tenth IEEE Symposium on High Performance Distributed Computing (HPDC10), San Francisco, CA, August
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Proceedings of the 8th IEEE Symposium on High-Performance Distributed Computing, IEEE Press.. Proceedings of the 7th IEEE Sympo- sium on High-Performance Distributed Computing, IEEE Press.. Proceedings of the 6th IEEE Symposium on High Performance Dis- tributed Computing, Portland, Oregon, 1997.. Proceedings of the 8th International Workshop on Quality of Service, 2000.. Pro- ceedings of the 8th International Conference on Distributed Computing Systems, pp.
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Pro- ceedings of the 8th International Conference of Distributed Computing Systems, June, 1988, pp. (1999) GASS: a data movement and access service for wide area computing systems, Proceedings of the Sixth workshop on I/O in Parallel and Distributed Systems, May, 1999.. (1999) Benchmarking and comparison of the task graph scheduling algorithms
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Gestalt of the grid, Performance Evalua- tion and Characterization of Parallel and Distributed Computing Tools. (2002) pyGlobus – A CoG Kit for Python, http://www-itg.lbl.gov/gtg/projects/pyGlobus/.. http://www.globus.org/cog/documentation/papers/.. Proceedings of the 6th IEEE Symposium on High-Performance Distributed Computing, August pp. Myproxy, Proceedings of the Tenth International Symposium on High Performance Distributed Computing (HPDC-10).
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Proceedings of the Ninth IEEE International Symposium on High Performance Distributed Computing, August, 2000, Project Website last accessed on 7/1/02 at http://hotpage.npaci.edu.. Proceedings of the Ninth IEEE International Symposium on High Performance Distributed Computing, August, 2000..
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Communications of the ACM . (2002) The Physiology of the Grid: Open Grid Services Architecture for Distributed Systems Integration, Presented at GGF4, February, 2002, http://www.globus.og/research/papers/ogsa.pdf.. Proceedings of the 8th High Performance Distributed Computing (HPDC. Proceedings of the 1st IEEE/ACM Interna- tional Workshop on Grid Computing (Grid 2000), Bangalore, India, December Germany: Springer-Verlag..
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We can follow the lead of UNIX [and Legion (Chapter 10) in its distributed extension], and define a basic GCEShell providing access to the core distributed computing functions. These two (or more) calls (component interactions) can represent different functions or the middle-tier call can be coupled with a high performance mirror. typically the middle-tier provides control and the backend provides ‘raw data transfer’.
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When we are working with very large tables in a distributed computing environment (‘the Grid.
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In Proceedings of the 2009 9th IEEE/ACM international Symposium on Cluster Computing and the Grid (May . In Proceedings of the 16th international Symposium on High Performance Distributed Computing (Monterey, California, USA, June . A break in the clouds:. In Proceedings of the 17th international Symposium on High Performance Distributed Computing (Boston, MA, USA, June
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Several major industrial distributed computing technologies, such as the Microsoft. Figure 2.4 The International Virtual Data Grid Laboratory (iVDGL) (http://www.ivdgl.org/) is being established to support both Grid research and production computing. (eds) (1999) The Grid: Blueprint for a New Computing Infras- tructure. http://www.globus.org/research/papers/anatomy.pdf.. http://www.nap.edu/books html.. Proc Available at http://www.multicians.org/fjcc3.html..
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Abstract: Currently, edge computing technology has attracted a lot of research due to its ability to provide distributed computing, optimize energy, and improve processing speeds for users. The advantages of approaching edge computing are the sharing of computational tasks between devices and access devices at the network edge to reduce backbone traffic and delay..
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RMI offers some of the critical elements of a distributed object system for. Once the remote object's Java interface is defined, a server implementation of the interface can be written. Clients of the object use classes in the RMI package to communicate with the remote registry to look up objects on the server. A server process has to register an instance of the implementation with a RMI registry running on the server:.
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Proceedings of the 2002 International Conference on Parallel and Distributed Processing Techniques and Applications, 2002.. Proceedings of the 2002 International Conference on Internet Computing (IC-02), 2002.. Communications of the ACM . (1999) Diameter of the world wide web. Proceedings of the 18th ACM Symposium on Principles of Distributed Computing, May, 1999.. Proceedings of the IASTED International Conference on Communications, Internet, and Information Technology, St.
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Software infrastructure for the I-WAY high-performance distributed computing experiment. It is in this context that the I-WAY project [11] was conceived in early 1995, with the goal of providing a large-scale testbed in which innovative high-performance and geographically distributed applications could be deployed. In brief, the I-WAY was an ATM network con- necting supercomputers, mass storage systems, and advanced visualization devices at 17 different sites within North America.
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Proceedings of the High-Performance Computing and Networking, HPCN-Europe pp. myproxy, Proceedings of the Tenth International Symposium on High Performance Distributed Computing. Proceedings of the International Conference on Communications in Computing, 2002.. The Physiology of the Grid, Draft available from http://www.globus.org/ogsa, July 8, 2002.
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The topology of the EOL system is the work of Dr Greg Quinn. of the Ninth IEEE International Symposium on High Performance Distributed Computing, 2000.. Proceedings of the National Academy of Sciences (USA . (2001) The adaptive multilevel finite element solution of the Poisson-Boltzmann equation on massively parallel computers.. (ed.) Son of Moore’s Law in The Next Fifty Years New York: Random House.
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In proceedings of the international workshop on Quality of Service, page 27-36. of the 4th Australian Symposium on Grid Computing and e-Research, AusGrid06, Jan.. Proceedings of the 8th International Conference on Distributed Computing Systems.. The role of the broker is to discover resource properties that fulfill the QoS constraints identified in the job. which provides detailed information on the status of the resources;.
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Certainly, there are various forces now urging collaboration across disciplines and distances, and the burgeoning Grid community, which aims to facilitate such collaboration, has made significant progress in mitigating the well-known complexities of building, operating, and using distributed computing environments.
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In Proceedings of the Eleventh IEEE International Symposium on High-Performance Distributed Computing (HPDC 11), 2002. Predicting Job Execution Times in the Grid. Proceedings of the 1st SGI 2000 International User Conference, Krakow, 2000. Multicriteria Aspects of Grid Resource Management. In Grid Resource Management edited by J. A computational economy for Grid computing and its implementation in the Nimrod-G resource broker. GRID SCHEDULING ARCHITECTURE*.