Grid computations require global access to massive data stores. To meet this need, the GridNFS project aims to provide scalable, high-performance, transparent, and secure wide-area data management as well as a scalabl...
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ISBN:
(纸本)1595936734
Grid computations require global access to massive data stores. To meet this need, the GridNFS project aims to provide scalable, high-performance, transparent, and secure wide-area data management as well as a scalable and agile name space. While parallel file systems give high I/O throughput, they are highly specialized, have limited operating system and hardware platform support, and often lack strong security mechanisms. Remote data access tools such as NFS and GridFTP overcome some of these limitations, but fail to provide universal, transparent, and scalable remote data access. As part of GridNFS, this paper introduces Direct-pNFS, which builds on the NFSv4.1 protocol to meet a key challenge in accessing remote parallel file systems: high-performance and scalable data access without sacrificing transparency, security, orportability. Experiments with Direct-pNFS demonstrate I/O throughput that equals or out performs the exported parallel file system across a range of workloads. Copyright 2007 ACM.
Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, data partitioning is done at two levels;first, the data is distributed to a collection of heterogeneous parallel system...
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ISBN:
(纸本)9780769528335
Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, data partitioning is done at two levels;first, the data is distributed to a collection of heterogeneous parallelsystems with different resources and startup time, then, on each system the data is evenly partitioned to the available nodes. In this paper we report on a simulation study of the algorithms.
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and qualitative problem. In PSO algorithm, the ...
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One hurdle to using peer-to-peer networks as anonymizing networks is churn. Node churn makes anonymous paths fragile and short-lived: failures of a relay node disrupt the path, resulting in message loss and communicat...
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In DHT-based P2P systems, Replication-based content distribution and load balancing strategies consists of such decisions as which files should be replicated, how many replicas should be created and where to replicate...
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Dependability evaluation is an important, often indispensable, step in (critical) systems design and analysis processes. The introduction of control and/or computing systems to automate processes increases the overall...
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This paper presents the optimization and evaluation of parallel I/O for the BIPS3D parallel irregular application, a 3-dimensional simulation of BJT and HBT bipolar devices. The parallel version of BIPS3D employs Meti...
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Grid technology allows resource sharing among several entities, but selecting the best resource to run a specific job remains one of its main problems. The challenges for the best resource selection involve analysis o...
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ISBN:
(纸本)9780769528335
Grid technology allows resource sharing among several entities, but selecting the best resource to run a specific job remains one of its main problems. The challenges for the best resource selection involve analysis of several factors such as prediction time to run a job, access restriction to resources, and cost to use resources. This paper presents a resource selection model using decision theory for combining these influential factors in the resource selection process. The model is based on a multi-attribute utility function that maximizes the user preference. This model forms part of a multi-agent system deploying distributed and parallel processing for job execution prediction, access policy verification, and resource selection models. All models of this paper were verified through experiments using real machines. They have presented appropriate functional behaviors and positive performance results.
Many essential fundamental services for networked distributedsystems (ad hoc, wireless or sensor) involve maintaining a global predicate over the entire network (defined by some invariance relation on the global stat...
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ISBN:
(纸本)9783540747413
Many essential fundamental services for networked distributedsystems (ad hoc, wireless or sensor) involve maintaining a global predicate over the entire network (defined by some invariance relation on the global state of the network) by using local knowledge at each of the participating nodes. The participating nodes can no longer keep track of even a small fraction of the knowledge about the global network due to limited storage. We need a new paradigm of localized distributed algorithms, where a node takes simple actions based on local knowledge of only its immediate neighbors and yet the system achieves a global objective. Self-stabilization is a relatively new paradigm for designing such localized distributed algorithms for networks;it is an optimistic way of looking at system fault tolerance and scalable coordination;it provides a cost effective built-in safeguard against transient failures that might corrupt data in a distributed system. We introduce self-stabilizing protocol design with the example of a total dominating set in a network graph and discuss some open problems.
parallel processing using multiple processors is a well-established technique to accelerate many different classes of applications. However, as the density of chips increases, another technique to accelerate these app...
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