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Content available remote Science on the TeraGrid
EN
The TeraGrid is an advanced, integrated, nationally-distributed, open, user-driven, US cyberinfrastructure that enables and supports leading edge scientific discovery and promotes science and technology education. It comprises supercomputing resources, storage systems, visualization resources, data collections, software, and science gateways, integrated by software systems and high bandwidth networks, coordinated through common policies and operations, and supported by technology experts. This paper discusses the TeraGrid itself, examples of the science that is occurring on the TeraGrid today, and applications that are being developed to perform science in the future.
EN
Grid technology has matured considerably over the past few years. Progress in both implementation and standardization is reaching a level of robustness that enables production quality deployments of grid services in the academic research community with heightened interest and early adoption in the industrial community. Despite this progress, grid applications are far from ubiquitous, and new applications require an enormous amount of programming effort just to see first light. A key impediment to accelerated deployment of grid applications is the scarcity of high-level application programming abstractions that bridge the gap between existing grid middleware and application-level needs. The Simple API for Grid Applications (SAGA [1]) is a GGF standardization effort that addresses this particular gap by providing a simple, stable, and uniform programming interface that integrates the most common grid programming abstractions. These most common abstractions were identified through the analysis of several existing and emerging Grid applications. In this article, we present the SAGA effort, describe its relationship to other Grid API efforts within the GGF community, and introduce the first draft of the API using some application programming examples.
EN
Bandwidth broker (BB), resource manager of differentiated services domain cannot provide per domain behavior (PDB) attribute information to customers and neighboring domains at the time of service level agreement (SLA) negotiation. Extending BB's functionality to calculate PDB attributes can help it to negotiate SLAs dynamically and efficiently. Using current measurements or historic data about PDB attributes, bandwidth broker can perform off-line analysis to evaluate the range of quality of service (QoS) parameters that its domain can offer. Using these values BB can perform optimal capacity planning of the links and provide better QoS guarantees.
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