Current distributedsystems are usually composed of several distributed components that communicate through specific ports. When testing these systems we separately observe sequences of inputs and outputs at each port...
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In this paper, we present a distributed architecture for indexing and serving large and diverse datasets. It incorporates and extends the functionality of Hadoop, the open source MapReduce framework, and of HBase, a d...
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The proceedings contain 41 papers. The special focus in this conference is on Network and parallelcomputing. The topics include: Vectorization for Java;just-in-time compiler assisted object reclamation and space reus...
ISBN:
(纸本)3642156711
The proceedings contain 41 papers. The special focus in this conference is on Network and parallelcomputing. The topics include: Vectorization for Java;just-in-time compiler assisted object reclamation and space reuse;optimization of triangular matrix functions in BLAS library on Loongson2F;exposing tunable parameters in multi-threaded numerical code;LU decomposition on cell broadband engine: an empirical study to exploit heterogeneous chip multiprocessors;block level data migration policy in tiered storage system;scale-adaptable recrawl strategies for DHT-Based distributed web crawling system;power efficient scheduling for hard real-time systems on a multiprocessor platform;storage device performance prediction with selective bagging classification and regression tree;embedding algorithms for bubble-sort, macro-star, and transposition graphs;an efficient simulation algorithm for cache of random replacement policy;a double auction bayesian game-based pricing model in cloud market;a network performance aware BitTorrent traffic optimization mechanism;user behavior pattern analysis and prediction based on mobile phone sensors;a peer-to-peer framework for QoS-Aware service composition;identifying nearest neighbor nodes and connectivity in three-dimensional wireless sensor networks using poisson point field;a novel trust evaluation model for mobile P2P networks;evaluating and optimizing I/O virtualization in kernel-based virtual machine (KVM);distributed stream processing with DUP;a complemental clustering index on distributed ordered tables for multi-dimensional range queries;online event correlations analysis in system logs of large-scale cluster systems and differentiated replication strategy in data centers.
This paper proposes a method for reducing the number of search nodes involved in the solution of queries arriving to a Web search engine. The method is applied by the query receptionist machine during situations of su...
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This paper proposes a method for reducing the number of search nodes involved in the solution of queries arriving to a Web search engine. The method is applied by the query receptionist machine during situations of sudden peaks in query traffic to reduce the load on the search nodes. The experimental evaluation based on actual traces from users of a major search engine, shows that the proposed method outperforms alternative strategies. This is more evident for systems composed of a large number of search nodes which indicates that the method is also more scalable than the alternative strategies. (C) 2010 Published by Elsevier Ltd.
With the popularity of virtualization, the problem that how to manage hundreds even thousands of virtual machines running on multiple physical computing nodes becomes important. Current virtual machine management syst...
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By recognizing the necessity for preventative and proactive management for today's large scale and fault prone distributedsystems, a tendency for these mechanisms has been appeared in recent researchers' effo...
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Data produced in scientific and industrial applications is growing exponentially but most resource middleware systems lack of appropriate support for data and metadata management. In particular easy and intuitive retr...
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ISBN:
(纸本)9783642141218
Data produced in scientific and industrial applications is growing exponentially but most resource middleware systems lack of appropriate support for data and metadata management. In particular easy and intuitive retrieval of data for later use is a serious problem. In this context the paper proposes a pragmatic approach for data management of distributed data with focus on appropriate means for data organization improving data retrieval. The paper presents the key concepts and architecture of a dedicated data management system for sharing data located on heterogeneous storage resources. The different specifics of storage systems such as data object names, data locations, and data access methods are abstracted to allow transparent data access. Moreover, the system provides means for data structuring and organization by supporting custom data models and annotation of individual metadata on data objects. Current development status of the system is illustrated by presenting an integration with the UNICORE Rich Client which has been validated in the context of the AeroGrid project.
The stabilization problem of a class of networked switched fuzzy time-delay systems is investigated under the assumption that the controller gain to be designed has variations, single-packet transmission, and network-...
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As the paralleldistributed architectures are increasing used to solve the large-scale scientific problems, the scheduling algorithm which can heavily affect the communication overhead and the execution time is becomi...
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We demonstrate that the performance of commodity parallelsystems significantly depends on low-level details, such as storage layout and iteration space mapping, which motivates the need for tools and techniques that ...
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ISBN:
(纸本)9783642141218
We demonstrate that the performance of commodity parallelsystems significantly depends on low-level details, such as storage layout and iteration space mapping, which motivates the need for tools and techniques that separate a high-level algorithm description from low-level mapping and tuning. We propose to build a tool based on the concept of decoupled Access/Execute metadata which allow the programmer to specify both execution constraints and memory access pattern of a computation kernel.
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