K. Krauter, R. Buyya, M. Maheswaran,A Taxonomy and Survey of Grid Resource Management Systems, International Journal of Software: Practice and Experience (SPE), 32(2):135--164, 2002 Home/Search Document Details and Download
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Grid Characteristics and Uses: a Grid Definition - Bote-Lorenzo, Dimitriadis.. (2003) (Correct)
....categorized according to the main challenges that they present from the grid architecture point of view. This categorization is the following: 1) Distributed supercomputing support allows applications to use grids to couple computational resources in order to reduce the completion time of a job [10] or to tackle problems that cannot be solved on a single system [1] 2) High throughput computing support allows applications to use grids to put unused processor cycles to work in generally loosely coupled or independent tasks [1] 3) On demand computing support allows applications to use grids ....
....(5) Collaborative computing support allows applications to use the grid to enable and enhance human to human interactions [1] in a synchronous or asynchronous way [6] via a virtual space. 6) Multimedia computing support allows applications to use grids to deliver contents assuring end to end QoS [10]. Table 1. A review of the main concepts found explicitly (E) or implicitly (I) in grid definitions extracted from the literature. Concepts are numbered following the description in text. 12345678910 The computing resources transparently available to the user via this networked environment ....
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Krauter, K., Buyya, R., Maheswaran, M.: A Taxonomy and Survey of Grid Resource Management Systems for Distributed Computing. International Journal of Software: Practice and Experience. 32 (2) (2002) 135-164
Distributed Resource Discovery and Management in XenoServers - Kotsovinos (2002) (Correct)
....some large scale work. Many research groups around the world have been developing such applications, like Globus [13] NetSolve [5] NEOS and Condor [25, 11] SNIPE [10] Javelin [26] and Globe [33] There are studies that attempt to compare and classify most of the existing grid infrastructures [23]. Those architectures provide application level programming models and in Root Linux system User Mode processes Hardware Java Virtual Machine Metacomputing Interface Figure 4: Metacomputing infrastructures layering terfaces for resource sharing rather than system level support. Many of ....
Klaus Krauter, Rajkumar Buyya, and Muthucumaru Maheswaran. A taxonomy and survey of grid resource management systems for distributed computing. Software Practice and Experience, 32(2):135--164, February 2002.
Distributed Resource Discovery and Management in the.. - Kotsovinos, Harris (2002) (Correct)
....opinion [2] there appears to be a strong link between geographic distance and communication latency. The XenoServers platform supports the placement of servers physically close to the clients, and therefore helps reducing latency and network load. Also, architectures like computational grids [8] or distributed multimedia servers [3] can find an ideal testbed environment on our platform, having the opportunity to be deployed easily and efficiently on a large number of XenoServers around the world. Additionally, our platform is a perfect infrastructure for deploying mobile agent based ....
Klaus Krauter, Rajkumar Buyya, and Muthucumaru Maheswaran. A taxonomy and survey of grid resource management systems for distributed computing. Software Practice and Experience, 32(2):135-- 164, February 2002.
A Taxonomy of Data Grids for Distributed Data.. - Venugopal, Buyya.. Self-citation (Buyya) (Correct)
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K. Krauter, R. Buyya, and M. Maheswaran, "A taxonomy and survey of grid resource management systems for distributed computing," International Journal of Software: Practice and Experience (SPE), vol. 32, no. 2, pp. 135--164, 2002.
Integrating Trust into Grid Resource Management Systems - Farag Azzedin And (2002) (4 citations) Self-citation (Maheswaran) (Correct)
....Three scheduling heuristics that can be used in a Grid system are modified to incorporate the trust notion and simulations are performed to evaluate the performance. Keywords: Grid computing, resource management system, security, trust. 1. Introduction Resource management in Grid systems [5, 9] is challenging due to: a) geographical distribution of resources, b) resource heterogeneity, c) autonomously administered Grid domains having their own resource policies and practices, and (d) Grid domains using different access and cost models. In previous generation distributed computing ....
K. Krauter, R. Buyya, and M. Maheswaran, "A taxonomy and survey of Grid resource management systems, " Software Practice and Experiance, Vol. 32, No. 2, Feb 2002, pp. 135--164.
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K. Krauter, R. Buyya, M. Maheswaran,A Taxonomy and Survey of Grid Resource Management Systems, International Journal of Software: Practice and Experience (SPE), 32(2):135--164, 2002
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K. Krauter, R. Buyya, et al, "A taxonomy and survey of grid resource management systems for distributed computing", Software -- Practice And Experience 32 (2), pp. 135-164, 2001
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K. Krauter, R. Buyya, and M. Maheswaran. A Taxonomy and Survey of Grid Resource Management Systems for Distributed Computing. Sofware -- Practice and Experience, 32(2):135--164, February 2002.
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K. Krauter, R. Buyya, M. Maheswaran,A Taxonomy and Survey of Grid Resource Management Systems, International Journal of Software: Practice and Experience (SPE), 32(2):135--164, 2002
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K. Krauter, R. Buyya, and M. Maheswaran. A Taxonomy and Survey of Grid Resource Management Systems for Distributed Computing. Sofware -- Practice and Experience, 32(2):135--164, February 2002.
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Krauter, K., Buyya, R., Maheswaran, M. A Taxonomy and Survey of Grid Resource Management Systems. Software Practices Experience 32(2): 135-164, 2002
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K. Krauter, R. Buyya, and M. Maheswaran. A Taxonomy and Survey of Grid Resource Management Systems. Software: Practice and Experience (SPE), 32(2), February 2002.
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Klaus Krauter, Rajkumar Buyya, and Muthucumaru Maheswaran, A taxonomy and survey of grid resource management systems for distributed computing, Software, Practice and Experience 32 (2002), no. 2, 135-- 164.
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Krauter, K., Buyya, R., and Maheswaran, M. A taxonomy and survey of grid resource management systems for distributed computing. Int. J. of Software Practice and Experience, 32(2):135--164, 2002.
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Krauter, K., Buyya, R., Maheswaran, M.:A Taxonomy and Survey of Grid resource Management Systems, SoftwarePractice and Experience, 32(2): 135-164, 2002.
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