Grid information services for distributed resource sharing

By Karl Czajkowski, Carl Kesselman, Steven M. Fitzgerald, Ian T Foster. Proceedings 10th IEEE International Symposium on High Performance Distributed Computing, 2001

1,687 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/8aae732e07c9d14f08ccf31eb9b742683de19595

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In Computer Networks and Communications

Citations in the corpus

Taking VANET to the clouds (2010, background): “Recently, there has been a good deal of commercial and research interests in utilizing broadband communications and wireless technologies to provide Internet connectivity to the public on the road [3, 4 ,7,16,17].”
Pegasus: A framework for mapping complex scientific workflows onto distributed systems (2005, background): “The Pool Configuration file is dynamically constructed using data provided by MDS and additional information provided by the user.”
Scheduling Algorithms for Grid Computing: State of the Art and Open Problems (2006, methodology): “The Globus Monitoring and Discovery System (MDS) [33] is an example of GIS.”
Giggle: A Framework for Constructing Scalable Replica Location Services (2002, methodology): “2, it may be reasonable to use a centralized server (perhaps with multiple representatives) and a soft state registration protocol [9].”
The Anatomy of the Grid: Enabling Scalable Virtual Organizations (2001, methodology): “An associated soft-state resource registration protocol, the Grid resource registration protocol (GRRP), is used to register resources with Grid index information servers, discussed in the next section (Czajkowski et al., 2001).”
Condor-G: A Computation Management Agent for Multi-Institutional Grids (2001, positive): “The Globus Toolkit's MDS-2 provides basic mechanisms for discovering and disseminating information about the structure and state of Grid resources [9].”
Workflows and e-Science: An overview of workflow system features and capabilities (2009, background): “When the resources are computers and data systems, the resource discovery is typically done through a Grid information systems (54), which can list all the computers available to a virtual organization (55), their current load and status.”
Resource allocation in the grid using reinforcement learning (2004, background): “1, discovery systems such as MDS [8] and UDDI [1] provide limited information for making resource allocation decisions.”
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control (2004, background): “Pervasive instrumentation and query capabilities are necessary elements of the solution for managing complex systems [31, 21, 32, 12].”
On Fully Decentralized Resource Discovery in Grid Environments (2001, background): “Another relevant experience is provided by Globus's MDS [ 3 ]: initially centralized, this service moved to a decentralized structure as its pool of resources and users grew.”
On Death, Taxes, and the Convergence of Peer-to-Peer and Grid Computing (2003, background): “…elements, like DNS servers; and multi-purpose to indicate that the same services are used for many different purposes (e.g., the same monitoring and discovery service [16] is used by a wide range of higher-level functions, such as computation scheduling, data replication, and fault detection).”
Mapping Abstract Complex Workflows onto Grid Environments (2003, background): “The EDG Resource Broker [40] maps individual jobs based on information provided by various Grid Services such as MDS, Network Weather Service [46] and the Replica Location Services.”
Pegasus: Mapping Scientific Workflows onto the Grid (2004, background): “Pegasus queries the Globus Monitoring and Discovery Service (MDS) [ 11 ] to find information needed for job scheduling such as the available resources, their characteristics such as the load, the scheduler queue length, and available disk space.”
A peer-to-peer approach to resource location in grid environments (2002, methodology): “Another solution is provided by the Globus Toolkit MDS [ CFFK01 ].”
SHARP: an architecture for secure resource peering (2003, methodology): “Sharp and SRRP are closely related to frameworks for resource discovery [3, 17, 22, 43].”
Decoupling computation and data scheduling in distributed data-intensive applications (2002, background): “, the Globus Toolkit’s Monitoring and Discovery Service [15], Network Weather Service [28]) or directly from sites.”