R. Oldfield and D. Kotz. Armada: A parallel file system for computational. In Proceedings of CCGrid2001. Home/Search Document Not in Database Summary Related Articles Check |
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Exploiting Functional Decomposition for Efficient.. - Andrade, Kurc.. (2002) (Correct)
....issues for data analysis applications. This paper differs from our previous work in that we look at the effect on data reuse of functional decomposition. There are a number of research projects that focus on component based models for developing applications in a distributed environment [1, 3, 13, 15, 24, 31, 32, 33, 38]. In these models, the application processing structure is decomposed into a set of interacting computation components. The earlier work on component based frameworks has focused on improving the performance of a single or a set of independent queries by effectively decomposing the application ....
....that make up the query processing structure. In this work, we expect the application developer to present to the system a functional description of the query type to be registered. This assumption is also made by other frameworks that require the functional decomposition of a complex computation [3, 12, 31, 32]. The execution chain of a query type q i is represented by a directed acyclic graph G i (V; E) referred to as a query graph. A vertex represents a function primitive and an edge corresponds to a data dependency between the two primitives sharing the edge. An edge is marked with a cacheable ....
R. Oldfield and D. Kotz. Armada: A parallel file system for computational. In Proceedings of CCGrid2001.
Executing Multiple Pipelined Data Analysis.. - Spencer, Ferreira.. (2002) (2 citations) (Correct)
....data sources to the client. In this work we address the scheduling of multiple queries, represented as pipelined chain of operations on data, in a Grid environment. Our approach focuses on component based frameworks, where an application is developed from a set of interacting software components [13, 18, 20, 28, 27]. In a component based framework, the placement of components onto computational resources represents an important degree of flexibility in optimizing application performance. Network and computation overheads can be decreased by efficiently placing components to deal with computational ....
R. Oldfield and D. Kotz. Armada: A parallel file system for computational. In Proceedings of CCGrid2001.
Active Proxy-G: Optimizing the Query Execution Process.. - Andrade, Kurc, Sussman, .. (2002) (Correct)
....or (c) distributed memory. ever, such an environment requires distributed access to and processing of data in a heterogeneous setting. Componentbased frameworks and services have been gaining acceptance as a viable approach for application development and execution in distributed environments [1, 4, 9, 11, 12, 16, 19, 20, 23, 25]. Such models facilitate the implementations of applications and services that can accomodate the heterogeneous and dynamic nature of the Grid. In previous work [6] we have developed a framework for efficiently executing multiple query workloads from data analysis applications on SMP machines ....
.... (GRADS) and the support mechanism for storing metainformation needed to control that execution Grid Information System (GIS) Several research projects have investigated the design, implementation, and application of component based frameworks for application development and deployment [1, 9, 11, 12, 20, 23, 25]. The Common Component Architecture project by Bramley et al. 15] leads a standardization effort for building distributed software component systems for scientific and engineering applications. The Open Grid Services Architectures effort by Foster et al. 18] draws from concepts and technologies ....
R. Oldfield and D. Kotz. Armada: A parallel file system for computational. In Proceedings of CCGrid2001: 1EEE International Symposium on Cluster Computing and the Grid, Brisbane, Australia, May 2001. IEEE Computer Society Press.
Processing Large-Scale Multidimensional Data in.. - Beynon, Chang.. (2002) (2 citations) (Correct)
....how an optimizer customized to deal with datainflating and data reducing operators, can improve performance. MOCHA can leverage total knowledge about query selectivities stored in its catalog, whereas DataCutter deals with arbitrary application code with no such useful information. Armada [49] is a flexible parallel file system framework being developed to enable access to remote and distributed datasets through a network (armada) of application objects, called ships. The system provides authorization and authentication services, and runtime support for the collection of application ....
R. Oldfield and D. Kotz. Armada: A parallel file system for computational. In Proceedings of CCGrid
Efficient Manipulation of Large Datasets on.. - Beynon, Kurc.. (2002) (5 citations) (Correct)
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R. Oldfield and D. Kotz. Armada: A parallel file system for computational. In Proceedings of CCGrid2001.
Impact of High Performance Sockets on Data Intensive.. - Pavan Balaji Jiesheng (2003) (Correct)
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R. Oldfield and D. Kotz. Armada: A parallel file system for computational. In Proceedings of CCGrid2001.
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