In this paper, we address the problem of supporting network-based parallel computing, usually known in the literature as high performance distributed computing (HPDC), over ATM networks. For this purpose, we consider ...
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In this paper, we address the problem of supporting network-based parallel computing, usually known in the literature as high performance distributed computing (HPDC), over ATM networks. For this purpose, we consider a logically separate subnetwork for HPDC applications. After presenting an architectural reference model for the HPDC subnetwork and distinguishing which functions should be installed over the ATM network in order to satisfy the needs of HPDC applications, we suggest two different modifications of the loss recovery mechanism of the Service-Specific Connection Oriented Protocol (SSCOP) that aim at optimizing communications by taking advantage of both the special properties of HPDC traffic and the cell-based nature of ATM. The performance of these mechanisms is evaluated and compared with that achieved by the standard mechanism of the SSCOP protocol. The results show that, when the ATM network experiences high load and the HPDC applications make an intensive use of arrays, SSCOP including the new retransmission mechanisms becomes more robust than standard SSCOP, and provides low latency and efficient cell loss recovery. From the results, we conclude that the introduction of cell-based retransmission mechanisms does contribute to enhance the performance of ATM network-based parallel computing.
On-line Dynamic Security Assessment (DSA) is a challenge computing problem. A key problem in DSA is the analysis of a large number of dynamic stability contingencies every 10-20 minutes using on-line data. In order to...
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On-line Dynamic Security Assessment (DSA) is a challenge computing problem. A key problem in DSA is the analysis of a large number of dynamic stability contingencies every 10-20 minutes using on-line data. In order to speed up the transient stability analysis, parallel processing has been applied and several results can be found in the literature. In this paper, we present a distributed approach for real-time transient stability analysis. distributedcomputing is economically attractive providing the processing power of supercomputing at a lower cost. Several distributed software environments like the Parallel Virtual Machine (PVM) allow an effective use of heterogeneous clusters of workstations. Both functional and domain decomposition of the transient stability problem were tested under PVM on a homogeneous cluster of eight DEC ALPHA and on an IBM SP2 machine. Functional decomposition has been obtained by the Shifted-Picard algorithm, whereas domain decomposition has been obtained concurrently running different contingencies on different nodes of the cluster, using the Very Dishonest Newton algorithm. In order to assess the performance of these approaches, time domain simulations, adopting detailed modeling for synchronous machines, have been carried out on a realistic-sized network comprising 2583 buses and 511 generators.
The recent change of emphasis from highperformance parallel computing to highperformance parallel/distributedcomputing has called for new techniques in distributed problem solving. Mobile agent, as a new computing ...
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The recent change of emphasis from highperformance parallel computing to highperformance parallel/distributedcomputing has called for new techniques in distributed problem solving. Mobile agent, as a new computing paradigm, breaks the barrier of traditional client/server model and provides a more efficient solution to distributedcomputing. In the mobile-agent-based paradigm, data stay at the local site, while the execution code is moved to the data sites. In this paper, we describe the deployment of mobile agent in distributed Sensor Networks (DSNs). Mobile agent is used to integrate pre-processed data located at local sensor nodes. We take target classification as an example to illustrate how mobile-agent-based DSN (MADSN) supports highperformancedistributed integration.
In this paper, we deal with optimizing the monetary costs of executing parallel applications in cloud-based environments. Specifically, we investigate on how scalability characteristics of parallel applications impact...
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In this paper, we deal with optimizing the monetary costs of executing parallel applications in cloud-based environments. Specifically, we investigate on how scalability characteristics of parallel applications impact the total costs of computations. We focus on a specific class of irregularly structured problems, where the scalability typically depends on the input data. Consequently, dynamic optimization methods are required for minimizing the costs of computation. For quantifying the total monetary costs of individual parallel computations, the paper presents a cost model that considers the costs for the parallel infrastructure employed as well as the costs caused by delayed results. We discuss a method for dynamically finding the number of processors for which the total costs based on our cost model are minimal. Our extensive experimental evaluation gives detailed insights into the performance characteristics of our approach.
With the proliferation of Network of Workstations (NOW) environment, there has been a great demand for a highperformance message-passing system to implement high performance distributed computing (HPDC) applications ...
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With the proliferation of Network of Workstations (NOW) environment, there has been a great demand for a highperformance message-passing system to implement high performance distributed computing (HPDC) applications over NOW environment. NYNET (ATM wide area network testbed in New York state) Communication System (NCS) is a multithreaded message-passing system developed at Syracuse University that provides low-latency and high-throughput communication services over the Asynchronous Transfer Mode (ATM) based HPDC environment. NCS provides highperformance Application Communication Interface (HPI) to support applications that demand high-throughput and low-latency communication services. This paper outlines the general architecture of NCS and presents the implementation approach of NCS HPI over an ATM network. This interface has been developed by modifying Fore Systems' ATM Application Programming Interface (API) and its device driver. NCS HPI uses read/write trap routines to bypass traditional operating system calls and kernel-level communication interface (e.g., UNIX System V Streams). It reduces latency, data transfer time, and avoid using traditional communication protocols (e.g., TCP/IP). This substantially improves the communication performance.
The Globus project is a multi-institutional research effort that seeks to enable the construction of computational grids providing pervasive, dependable, and consistent access to high-performance computational resourc...
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The Globus project is a multi-institutional research effort that seeks to enable the construction of computational grids providing pervasive, dependable, and consistent access to high-performance computational resources, despite geographical distribution of both resources and users. Computational grid technology is being viewed as a critical element of future high-performancecomputing environments that will enable entirely new classes of computation-oriented applications, much as the World Wide Web fostered the development of new classes of information-oriented applications. In this paper, we report on the status of the Globus project as of early 1998. We describe the progress that has been achieved to date in the development of the Globus toolkit, a set of core services for constructing grid tools and applications. We also discuss the Globus Ubiquitous Supercomputing Testbed Organization (GUSTO) that we have constructed to enable large-scale evaluation of Globus technologies, and we review early experiences with the development of large-scale grid applications on the GUSTO testbed. (C) 1998 IEEE.
As a variety of science applications are integrated with large-scale HPDC (high performance distributed computing) technologies, timely resource allocation is revealed as a critical requirement to be considered This p...
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ISBN:
(纸本)9781424442379
As a variety of science applications are integrated with large-scale HPDC (high performance distributed computing) technologies, timely resource allocation is revealed as a critical requirement to be considered This paper introduces a new HPDC resource management paradigm named resource slot which defines a network of logical machines across time and space. A resource slot is not only a resource programming target but also a virtualized resource provisioning framework for a variety of resource management paradigms by encapsulating the resource, management complexity. Especially, we present a resource provisioning technique named guided redundant submission (GRS), which probabilistically guarantees a timely resource slot allocation. Experimental results performed against 8 clusters in production show that about 5 redundant resources per slot can secure slot allocation with up to 36 logical machines, each cluster having an availability probability as low as 0.25 and the target success probability of slot allocation is 0.95.
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