Scalability analysis of three monitoring and information systems: MDS2, R-GMA, and Hawkeye
Section snippets
Xuehai Zhang received his B.S. degree in Computer Science from University of Science and Technology of China, Hefei in 1992. He received his M.S. degree in Computer Science from University of Chicago in 2002. He is currently a Ph.D. candidate in the Department of Computer Science at University of Chicago. His research interests are in parallel and Grid computing, with emphasis on Grid systems’ performance analysis and resource management on the virtual workspace, a virtualized Grid execution
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Resource discovery for distributed computing systems: A comprehensive survey
2018, Journal of Parallel and Distributed ComputingCitation Excerpt :However, these approaches suffer from sub-optimal scalability and lower fault tolerance, mostly due to the centralized nature of the directories, as discussed previously in Section 3.1. Nimrod-G [4] and Condor-G [119] are the examples of Grid super-schedulers where they have employed a centralized Grid information services such as R-GMA [52,53,343], Hawkeye [234,343] and Grid Market Directory (GMD) [334] to index their resource information. (B) Hierarchical-Grid: Another approach for discovery in Grids relies on hierarchically organized servers.
Resource discovery mechanisms in grid systems: A survey
2014, Journal of Network and Computer ApplicationsCitation Excerpt :As long as a provider exists in a directory, it is included in results for relevant discovery queries. MDS-2 uses the LDAP as a uniform means of storing system information from a rich variety of system components, for constructing a uniform namespace for resource information across a system that may consist of many organizations, and for query processing (Zhang et al., 2007). MDS-2 also supports secure data access through the use of Grid Security Infrastructure (GSI) credentials.
An importance-aware architecture for large-scale grid information services
2008, Parallel Processing LettersAn Evaluation of Information Consistency in Grid Information Systems
2017, Journal of Grid ComputingPassive Network Awareness as a Means for Improved Grid Scheduling
2015, Journal of Grid ComputingPerformance analysis of grid architecture via queueing theory
2014, International Journal of Foundations of Computer Science
Xuehai Zhang received his B.S. degree in Computer Science from University of Science and Technology of China, Hefei in 1992. He received his M.S. degree in Computer Science from University of Chicago in 2002. He is currently a Ph.D. candidate in the Department of Computer Science at University of Chicago. His research interests are in parallel and Grid computing, with emphasis on Grid systems’ performance analysis and resource management on the virtual workspace, a virtualized Grid execution environment based on virtual machine technologies.
Jeffrey L. Freschl received his B.S. degree in Computer Science from the University of California, Santa Cruz in 2003. He received his M.S. degree in Computer Science from the University of Wisconsin, Madison in 2005. He is currently a Software Engineer with the DB2 Optimization group at IBM, Silicon Valley Lab. His research interests are in parallel and grid computing, with an emphasis in algorithm design and performance evaluation.
Jennifer M. Schopf is a Scientist at the Distributed Systems Lab, part of the Mathematics and Computer Science Division at Argonne National Lab, and is spending the year as a researcher at the National Science Center in Edinburgh, UK. She is a member of the Globus Alliance, and technology coordinator for the MDS. She received a B.A. in Computer Science and Mathematics from Vassar College, and M.S. and Ph.D. degrees from the University of California, San Diego in Computer Science and Engineering. Currently, her research interests include monitoring, performance prediction, and resource scheduling and selection.