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distributed Symbolic Computations

Distributed Symbolic Computations

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international symposium on parallel and distributed Computing

作者： Dana Petcu Computer Science Department Institute e-Austria Timişoara Western University of Timişoara Romania

ISBN: (纸本)9780769529172;0769529178

Symbolic computing is one of fastest growing areas of scientific computing. An overview of the state-of-the-art in symbolic computations on distributed architectures, in particular Web and Grid architectures, is presented. The background information, including typical application areas, is followed by a list of past and on-going projects involving symbolic computations on distributed computing environments. To illustrate in more details issues involved in porting computer algebra systems to the Grid, some case studies involving popular environments are presented.

关键词： distributed computing Grid computing Concurrent computing Power engineering computing Web services Algebra Middleware Computer interfaces Standards development Computer architecture

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Towards threat-adaptive dynamic fragment replication in large scale distributed systems

Towards threat-adaptive dynamic fragment replication in larg...

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Roberto Di Pietro Luigi V. Mancini Alessandro Mei Dipartimento di Matematica Universitá di Roma Tre Rome Italy Dipartimento di Informatica Universita La Sapienza Rome Italy

In this paper, we consider new issues in building secure p2p file sharing systems. In particular, we define a powerful adversary model and consequently present the requirements to address when implementing a threat-adaptive secure file sharing system. We describe the main components of such a system: an early warning mechanism to perform pre-emptive actions against new vulnerabilities; a mechanism to sanitize corrupted nodes; a protocol to securely "migrate" data from non-safe nodes; and an efficient dynamic secret sharing mechanism.

关键词： Large-scale systems Peer to peer computing Protocols Availability Cryptography Internet Protection Bandwidth Data security Information security

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Dynamic Multi-User Load Balancing in distributed systems

Dynamic Multi-User Load Balancing in Distributed Systems

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Satish Penmatsa Anthony T. Chronopoulos Department of Computer Science University of Texas San Antonio San Antonio TX USA

In this paper, we review two existing static load balancing schemes based on M/M/1 queues. We then use these schemes to propose two dynamic load balancing schemes for multi-user (multi-class) jobs in heterogeneous distributed systems. These two dynamic load balancing schemes differ in their objective. One tries to minimize the expected response time of the entire system while the other tries to minimize the expected response time of the individual users. The performance of the dynamic schemes is compared with that of the static schemes using simulations with various loads and parameters. The results show that, at low communication overheads, the dynamic schemes show superior performance over the static schemes. But as the overheads increase, the dynamic schemes (as expected) yield similar performance to that of the static schemes.

关键词： Load management Delay Communication networks distributed computing Computer science USA Councils System performance Nash equilibrium Computer networks distributed processing

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UDDI registry for Knowledge Discovery in databases services

UDDI registry for Knowledge Discovery in Databases services

引用

international symposium on Collaborative Technologies and systems

作者： Claudia Diamantini Domenico Potena Jessica Cellini Università Politecnica delle Marche Ancona Italy

ISBN: (纸本)9781424433896;0978569911

The development of Knowledge Discovery in databases (KDD) projects in collaborative and distributed environments requires facilities to search for, choose, set-up, compose and execute suitable data manipulation tools. This implies the necessity to explicitly represent and annotate different kinds of information about tools, data and their characteristics. In this framework, we are developing a service-oriented support platform called Knowledge Discovery in databases Virtual Mart. In this paper we discuss the design and implementation of the UDDI service broker, a core element of the platform. We analyze the information needed to describe a tool in our platform, showing limitations of the present UDDI standard. Then, we present our solution to overcome such limitations and to extend UDDI broker capabilities.

关键词： Data mining Business Taxonomy databases Software Web services Classification algorithms

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distributed multi-lingual content based text mining DML - CBTM

Distributed multi-lingual content based text mining DML - CB...

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3rd IASTED international Conference on Advances in Computer Science and Technology, ACST 2007

作者： Chitrakala, S. Manjula, D. Department of Computer Science and Engineering Easwari Engineering College Ramapuram Anna University Chennai Tamil Nadu India Department of Computer Science and Engineering College of Engineering Guindy Anna University Chennai Tamil Nadu India

ISBN: (纸本)9780889866560

With the explosion in information over the internet, extracting knowledge from media-based data in the form of images, audio streams and videos replacing textual ones is getting more complex. So a comprehensive methodology covering all forms of data are needed which is able to provide the contents of the data in a short period of time. Text mining tools and algorithms are becoming increasingly popular with many of the books, texts and documentation getting converted to soft-copy versions and being made globally accessible. Though this trend is predominantly in English language, the need has arisen for such an approach for other languages too, as many of the ancient and out-of-print texts in different languages are getting 'softer' versions for preserving and extraction of Information and Knowledge. In the context of Indian languages this need is more pronounced as many texts in different languages, scripts, different material forms ranging from palm leaves to stone cutting and dialects are available having wealth of information in variety of disciplines. In this paper, we propose a novel contentbased approach and demonstrate for textual data in the first instance, to be termed as CBTM (Content-Based Text-Mining) for knowledge discovery of multilingual texts. The proposed methodology employs a content based approach using keywords and patterns stored in the form of gif strings so that extensions to other forms of data are possible. Potential applications of this approach in a distributed environment are also highlighted. We have used the advertisements in newspapers for demonstrating the system.

关键词： Data mining

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FixD : Fault Detection, Bug Reporting, and Recoverability for distributed Applications

FixD : Fault Detection, Bug Reporting, and Recoverability fo...

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Cristian Tapus David A. Noblet California Institute of Technology USA

Model checking, logging, debugging, and checkpointing/recovery are great tools to identify bugs in small sequential programs. The direct application of these techniques to the domain of distributed applications, however, has been less effective (mostly owing to the high degree of concurrency in this context). This paper presents the design of a hybrid tool, FixD, that attempts to address the deficiencies of these tools with respect to their application to distributed systems by using a novel composition of several of these existing techniques. The authors first identify and describe the four abstract components that comprise the FixD tool, then conclude with a proposal for how existing tools can be used to implement these components.

关键词： Fault detection Debugging Application software Fault diagnosis Computer bugs Concurrent computing Software tools Safety State-space methods Scheduling

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Packet Loss Burstiness: Measurements and Implications for distributed Applications

Packet Loss Burstiness: Measurements and Implications for Di...

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international symposium on parallel and distributed Processing (IPDPS)

作者： David X. Wei Pei Cao Steven H. Low Division of Engineering and Applied Science California Institute of Technology Pasadena CA USA Department of Computer Science University of Stanford Stanford CA USA

Many modern massively distributed systems deploy thousands of nodes to cooperate on a computation task. Network congestions occur in these systems. Most applications rely on congestion control protocols such as TCP to protect the systems from congestion collapse. Most TCP congestion control algorithms use packet loss as signal to detect congestion. In this paper, we study the packet loss process in sub-round-trip-time (sub-RTT) timescale and its impact on the loss-based congestion control algorithms. Our study suggests that the packet loss in sub-RTT timescale is very bursty. This burstiness leads to two effects. First, the sub-RTT burstiness in packet loss process leads to complicated interactions between different loss-based algorithms. Second, the sub-RTT burstiness in packet loss process makes the latency of data transfers under TCP hard to predict. Our results suggest that the design of a distributed system has to seriously consider the nature of packet loss process and carefully select the congestion control algorithms best suited for the distributed computation environments.

关键词： Loss measurement Protocols Extraterrestrial measurements Internet Control systems Data communication distributed computing Application software Algorithm design and analysis Propagation losses

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A Model for Large Scale Self-Stabilization

A Model for Large Scale Self-Stabilization

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international symposium on parallel and distributed Processing (IPDPS)

作者： Thomas Herault Pierre Lemarinier Olivier Peres Laurence Pilard Joffroy Beauquier LRI UMR8623 INRIA University Paris Sud Orsay France

We introduce a new model for distributed algorithms designed for large scale systems that need a low-overhead solution to allow the processes to communicate with each other. We assume that every process can communicate with any other process provided it knows its identifier, which is usually the case in e.g. a peer to peer system, and that nodes may arrive or leave at any time. To cope with the large number of processes, we limit the memory usage of each process to a small constant number of variables, combining this with previous results concerning failure detectors and resource discovery. We illustrate the model with a self-stabilizing algorithm that builds and maintains a spanning tree topology. We provide a formal proof of the algorithm and the results of experiments on a cluster.

关键词： Large-scale systems Peer to peer computing Algorithm design and analysis Detectors distributed algorithms Topology Clustering algorithms Internet Computer crashes Tree graphs

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Real-Time distributed Scheduling of Precedence Graphs on Arbitrary Wide Networks

Real-Time Distributed Scheduling of Precedence Graphs on Arb...

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Franck Butelle Mourad Hakem Lucian Finta LIPN-CNRS UMR 7030 Université Paris-Nord Villetaneuse France

Previous work on scheduling dynamic competitive jobs is focused on multiprocessors configurations. This paper presents a new distributed dynamic scheduling scheme for sporadic real-time jobs with arbitrary precedence relations on arbitrary wide networks. A job is modeled by a directed acyclic graph (DAG). Jobs arrive on any site at any time and compete for the computational resources of the network. The scheduling algorithm developed in this paper is based upon a new concept of computing spheres in order to determine a good neighborhood of sites that may cooperate for the execution of a job if it cannot be guaranteed locally. The salient feature of this new concept is that it allows the algorithm to be performed on arbitrary wide networks since it uses a limited number of sites and communication links.

关键词： Processor scheduling Computational complexity Computer networks Real time systems Centralized control Dynamic scheduling Scheduling algorithm Communication system control Delay Control systems

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FEMS: An Adaptive Finite Element Solver

FEMS: An Adaptive Finite Element Solver

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international symposium on parallel and distributed Processing (IPDPS)

作者： Alberto Bertoldo Department of Information Engineering University of Padova Padova Italy

In this paper we investigate how to obtain high-level adaptivity on complex scientific applications such as finite element (FE) simulators by building an adaptive version of their computational kernel, which consists of a sparse linear system solver. We present the software architecture of FEMS, a parallel multifrontal solver for FE applications whose main feature is an install-time training phase where adaptation to the computing platform takes place. FEMS relies on a simple model-driven mesh partitioning strategy, which makes it possible to perform efficient static load balancing on both homogeneous and heterogeneous machines.

关键词： Finite element methods Assembly Matrix decomposition Application software Linear systems Concurrent computing distributed computing Computational modeling Computer architecture Iterative methods

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