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检索条件"任意字段=8th International Conference on Distributed Computing and Networking"

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Epidemic Fault Tolerance for Extreme-Scale Parallel computing 8th

Epidemic Fault Tolerance for Extreme-Scale Parallel Computin...

引用

8th Annual international conference on Internet and distributed computing Systems (IDCS)

作者： Katti, Amogh Di Fatta, Giuseppe Univ Reading Sch Syst Engn Reading RG6 6AY Berks England

ISBN: (纸本)9783319232379;9783319232362

Process failure rate in the next generation of high performance computing systems is expected to be very high. MPI Forum is working on providing semantics and support for fault tolerance. Run-through Stabilization, User-Level Failure Mitigation and Process Recovery proposals are the resulting endeavors. Run-through Stabilization/User Level Failure Mitigation proposals require a fault tolerant failure detection and consensus algorithm to inform the application of failures so that it can employ Algorithm Based Fault Tolerance for quicker recovery and continued execution. this paper discusses the proposals in short, the failure detectors available in the literature and their unsuitability for realizing fault tolerance in MPI. It then outlines an inherently fault-tolerant and scalable Epidemic (or Gossip-based) approach for failure detection and consensus. Some simulations and an initial experimental analysis are presented, which indicate that this is a promising research direction.

关键词： Fault tolerance Message Passing Interface (MPI) Failure detection Epidemic protocols Gossip-based protocols

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Task Execution in distributed Smart Systems 8th

Task Execution in Distributed Smart Systems

引用

8th Annual international conference on Internet and distributed computing Systems (IDCS)

作者： Jaenen, Uwe Grenz, Carsten Edenhofer, Sarah Stein, Anthony Brehm, Juergen Haehner, Joerg Univ Augsburg Inst Informat Lehrstuhl Organ Comp D-86135 Augsburg Germany Leibniz Univ Hannover Inst Syst Engn Fachgebiet Syst & Rechnerarchitektur D-30167 Hannover Germany

ISBN: (纸本)9783319232379;9783319232362

this paper presents a holistic approach to execute tasks in distributed smart systems. this is shown by the example of monitoring tasks in smart camera networks. the proposed approach is general and thus not limited to a specific scenario. A job-resource model is introduced to describe the smart system and the tasks, with as much order as necessary and as few rules as possible. Based on that model, a local algorithm is presented, which is developed to achieve optimization transparency. this means that the optimization on system-wide criteria will not be visible to the participants. To a task, the system-wide optimization is a virtual local single-step optimization. the algorithm is based on proactive quotation broadcasting to the local neighborhood. Additionally, it allows the parallel execution of tasks on resources and includes the optimization of multiple-task-to-resource assignments.

关键词： Job-resource-model Optimization transparency Virtual local single-step optimization Proactive quotation-based optimization Multiple-task-to-resource assignment

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distributed and backstepping boundary controls to achieve IDA-PBC design 8

Distributed and backstepping boundary controls to achieve ID...

引用

8th Vienna international conference on Mathematical Modelling

作者： Vu, N. M. Tsang Lefevre, L. Nouailletas, R. Univ Grenoble Alpes LCIS F-26902 Grenoble France CEA Cadarache CEA DSM IRFM STEP Cadarache France

An IDA-PBC-like control synthesis for infinite dimensional port Hamiltonian systems is investigated. As for the finite dimensional case, a feedback control transforms the original model into a closed loop target Hamiltonian model. Both distributed control and boundary control are used. the finite rank distributed control is determined to solve an average IDA-PBC matching equation. A backstepping boundary control is used to stabilize the matching error. the control model chosen to illustrate the approach is the so-called resistive diffusion equation for the radial diffusion of the poloidal magnetic flux. (C) 2015, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： distributed parameters systems port-Hamiltonian systems IDA-PBC control back-stepping control plasma control

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Review of Replication Techniques for distributed Systems 8th

Review of Replication Techniques for Distributed Systems

引用

8th Annual international conference on Internet and distributed computing Systems (IDCS)

作者： Noor, Ahmad Shukri Mohd Zian, Nur Farhah Mat Deris, Mustafa Mat Herawan, Tutut Univ Malaysia Terengganu Sch Informat & Appl Math Kuala Terengganu Terengganu Malaysia Univ Tun Hussein Onn Malaysia Fac Informat & Technol Multimedia Batu Pahat Johor Malaysia Univ Malaya Dept Informat Syst Kuala Lumpur 50603 Malaysia

ISBN: (纸本)9783319232379;9783319232362

distributed systems primarily provide the access to data intensive computation through a wide range of interfaces. Due to the advances of the systems, the scales and complexity of the system have increased, causing faults are likely bound to happen leading into diverse faults and failure conditions. therefore, fault tolerance has become a crucial property for distributed system in order to preserve its function correctly and available in the presence of faults. Replication techniques particularly concentrates on two fault tolerance manners;masking the failures on the fly as well as reconfiguring the systems in response. this paper presents a brief reviews on different replication techniques, such as Grid Configuration (GC), Box-Shaped Grid (BSG) and Neighbor Replication on Grid (NRG) by comparing and formalizing its communication costs and availabilities analysis based on k-out-of-n model. Each of these techniques presents their own merits and demerits which form the subject matter of this review.

关键词： distributed systems Fault tolerance High availability Replication techniques Communication cost Availability analysis

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distributed Graph Algorithmics: theory and Practice 15

Distributed Graph Algorithmics: Theory and Practice

引用

8th ACM international conference on Web Search and Data Mining (WSDM)

作者： Lattanzi, Silvio Mirrokni, Vahab Google Res New York NY 10001 USA

ISBN: (纸本)9781450333177

As a fundamental tool in modeling and analyzing social, and information networks, large-scale graph mining is an important component of any tool set for big data analysis. Processing graphs with hundreds of billions of edges is only possible via developing distributed algorithms under distributed graph mining frameworks such as MapReduce, Pregel, Gigraph, and alike. For these distributed algorithms to work well in practice, we need to take into account several metrics such as the number of rounds of computation and the communication complexity of each round. For example, given the popularity and ease-of-use of MapReduce framework, developing practical algorithms with good theoretical guarantees for basic graph algorithms is a problem of great importance. In this tutorial, we first discuss how to design and implement algorithms based on traditional MapReduce architecture. In this regard, we discuss various basic graph theoretic problems such as computing connected components, maximum matching, MST, counting triangle and overlapping or balanced clustering. We discuss a computation model for MapReduce and describe the sampling, filtering, local random walk, and core-set techniques to develop efficient algorithms in this framework. At the end, we explore the possibility of employing other distributed graph processing frameworks. In particular, we study the effect of augmenting MapReduce with a distributed hash table (DHT) service and also discuss the use of a new graph processing framework called ASYMP based on asynchronous message-passing method. In particular, we will show that using ASyMP, one can improve the CPU usage, and achieve significantly improved running time.

关键词： Parallel computing MapReduce algorithms Large scale data-mining

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distributed Recommendation Algorithm Based on Matrix Decomposition on MapReduce Framework 8th

Distributed Recommendation Algorithm Based on Matrix Decompo...

引用

8th international conference on Knowledge Science, Engineering and Management (KSEM)

作者： Wu, Sen Lu, Dan Du, Yannan Feng, Xiaodong Univ Sci & Technol Beijing Donlinks Sch Econ & Management Beijing 100083 Peoples R China

ISBN: (纸本)9783319251592;9783319251585

this paper presents a recommendation algorithm based on matrix operations (RAMO), which integrates collaborative filtering algorithm with information network-based approach. RAMO exploits information from different objects to increase the recommendation accuracy. Furthermore, a distributed recommendation algorithm DRAMD is proposed based on matrix decomposition using the framework MapReduce. DRAMD can be run across multiple cluster nodes to reduce the computation time. Test results on MovieLens dataset show that the algorithms not only have better recommendation effectiveness but improve the efficiency of the computation.

关键词： Recommender system Matrix decomposition distributed computing Mapreduce

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Creation of Data Mining Cloud Service on the Actor Model 15th

引用

15th international conference on Next-Generation Wired/Wireless Advanced Networks and Systems (NEW2AN) and 8th conference on Internet of things and Smart Spaces (ruSMART)

作者： Kholod, Ivan Petuhov, Ilya Kapustin, Nikita St Petersburg Electrotech Univ LETI St Petersburg Russia

ISBN: (纸本)9783319231266;9783319231259

this article describes the approach to building data mining cloud service based on actor model. the article describes the mapping of the algorithm decomposed into functional blocks on the set of actors. Also it describes the architecture and implementation of cloud service to perform data mining algorithms for actors. As an example, it describes the implementation and experiments with neural network learning algorithm on the cluster actors.

关键词： Data mining distributed data mining Cloud computing Actor model

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Lagrangian and Port-Hamiltonian formulation for distributed-parameter systems 8

Lagrangian and Port-Hamiltonian formulation for Distributed-...

引用

8th Vienna international conference on Mathematical Modelling

作者： Schoeberl, M. Schlacher, K. Johannes Kepler Univ Linz Inst Automat Control & Control Syst Technol Linz Austria

In this paper we consider distributed-parameter systems that allow for a Lagrangian or port-Hamiltonian formulation. We will distinguish the case where the Lagrangian or the Hamiltonian depend on derivative variables (jet-variables) of first-order and the case where second-order derivatives appear. this distinction will be important for the correct determination of the boundary conditions in the Lagrangian scenario and for the investigation of possible boundary ports in the Hamiltonian picture. the derivation of the partial differential equations and the boundary terms/ports will be accomplished in a geometric fashion by using the so-called Cartan-form. We visualize our results by mechanical examples such as beams and plates. (C) 2015, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Differential geometric methods Lagrangian and Hamiltonian Systems Partial differential equations

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SLO-aware Deployment of Web Applications Requiring Strong Consistency using Multiple Clouds 8

SLO-aware Deployment of Web Applications Requiring Strong Co...

引用

IEEE 8th international conference on Cloud computing

作者： Qu, Chenhao Calheiros, Rodrigo N. Buyya, Rajkumar Univ Melbourne Cloud Comp & Distributed Syst CLOUDS Lab Melbourne Vic 3010 Australia

ISBN: (纸本)9781467372879

Geographically dispersed cloud data centers (DCs) enable web application providers to improve their services' response time and availability by deploying application replicas in multiple DCs. To allow applications requiring strong consistency to be deployed in multiple clouds, industry and academia have developed various scalable database systems that can guarantee strong inter-DC consistency with alleviated network overhead. For applications using these database systems, it is essential to take both the network latencies to the end users and the communication overhead of the databases into account when selecting the hosting DCs. In this paper, we study how to identify the satisfactory deployment plan (hosting DCs and request routing) considering SLO satisfaction, migration cost, and operational cost for applications using these databases. the proposed approach involves two steps. First, it searches the deployment plan with minimum amount of SLO violations using genetic algorithm when the application is first migrated to the clouds. then it continuously optimizes the deployment in a certain time interval according to the changing workload and the current deployment plan. We illustrate how our approach works for the applications using two databases (Cassandra and Galera Cluster), and demonstrate the effectiveness of our approach through simulation studies using settings of two example applications (TPC-W and Twissandra). Our solution is extensible to applications using other database systems that have similar properties.

关键词： Multi-cloud Geographically Dispersed Web Application Database Consistency Deployment Request Routing

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conference Organization

Conference Organization

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international conference on Grid and distributed computing (GDC)

Provides a listing of current committee members and society officers.

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