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Distributed Algorithms

Distributed Algorithms on Exact Personalized PageRank

Distributed Algorithms on Exact Personalized PageRank

... efficient distributed algorithms that are able to compute the exact PPV for all ...posed algorithms can be implemented on a general coordinator- based share-nothing distributed computing ...

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Distributed Algorithms for Topic Models

Distributed Algorithms for Topic Models

... the distributed algorithms were performing comparably to their single processor counterparts, we ran experiments to investigate whether the results were sensitive to the number of topics used in the models, ...

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Distributed  Algorithms  Made  Secure:  A  Graph  Theoretic  Approach

Distributed Algorithms Made Secure: A Graph Theoretic Approach

... all distributed graph algorithms (regardless of the model specification) is that the input of the algorithm is given in a distributed format, and consequently the goal of each vertex is to compute ...

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Complex Networks: New Models and Distributed Algorithms

Complex Networks: New Models and Distributed Algorithms

... three distributed algorithms that can be used in verifying cov- erage, localizing coverage holes, and detecting redundant sensors in the ...a distributed algorithm that by using the machinery of the ...

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Distributed Algorithms for the Optimal Design of Wireless Networks

Distributed Algorithms for the Optimal Design of Wireless Networks

... case, distributed algorithms in which terminals operate based on locally available CSI are more ...develop distributed algorithms for the optimal design of wireless ...

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A Methodology with Distributed Algorithms for Large-Scale Human Mobility Prediction

A Methodology with Distributed Algorithms for Large-Scale Human Mobility Prediction

... First, the mobility problem addressed in this paper is quite different from those that have been addressed in previous works. In particular, most existing works seek to answer the question: Given a partial initial ...

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New algorithms for distributed submodular maximization

New algorithms for distributed submodular maximization

... In many real-world applications, the amount of data that is collected nowadays is quite large and is growing at a very fast pace. For example, the wide deployment of sensors has led to the collection of large amounts of ...

96

Distributed nonconvex optimization: Algorithms and convergence analysis

Distributed nonconvex optimization: Algorithms and convergence analysis

... We consider two popular network topologies, namely, the mesh network (MNet) (cf. Fig. 1.1 Left) and the star network (SNet) (cf. Fig. 1.1 Right). In the MNet, each node is connected via undirected links to a subset of ...

208

Partially Dynamic Algorithms for Distributed Shortest Paths and their Experimental Evaluation

Partially Dynamic Algorithms for Distributed Shortest Paths and their Experimental Evaluation

... dynamic distributed algorithms for shortest paths, since the recomputation from scratch could result very expensive in ...a distributed algorithm is evaluated in terms of message and space complexity ...

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Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms

Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms

... Distributed algorithms arise in a wide range of applications, including telecommunications, dis- tributed information processing, scientific computing, real time process control and many ...scale ...

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PERFORMANCE ANALYSIS OF SLB AND DLB ALGORITHMS IN DISTRIBUTED COMPUTING ENVIRONMENT

PERFORMANCE ANALYSIS OF SLB AND DLB ALGORITHMS IN DISTRIBUTED COMPUTING ENVIRONMENT

... SLB algorithms have lesser resource utilization as static load balancing methods just tries to assign tasks to processors in order to achieve minimize response time ignoring the fact that may be using this task ...

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Review of distributed generation planning: objectives, constraints, and algorithms

Review of distributed generation planning: objectives, constraints, and algorithms

... and distributed generation on distribution system performance using appropriate DGP techniques have been studied in (EL-Khattam et al, 2006; Ochoa et al, 2008; Ochoa et al, 2008; Rodriguez et al, 2009; Keane et ...

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Evaluation of multicast routing algorithms for distributed real-time applications

Evaluation of multicast routing algorithms for distributed real-time applications

... We study one unconstrained minimum Steiner tree algorithm, one unconstrained shortest paths algorithm, and three constrained MC routing heuristics that have been designed specifically fo[r] ...

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An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures

An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures

... simulators have overlapping features as well as features specific to only a few simulators. CloudSim [5], EmuSim [7], and SimGrid [8], [9] are some of the mostly used general-purpose cloud simulation environments. ...

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New Algorithms for Distributed Sorting in Distributed Systems

New Algorithms for Distributed Sorting in Distributed Systems

... file distributed among two ...optimal algorithms for large ...and algorithms for the sorting problem on local area networks for the cases of serial and parallel connections among the ...for ...

9

Database Optimization Using Genetic Algorithms for Distributed Databases

Database Optimization Using Genetic Algorithms for Distributed Databases

... Query optimization is a most imperative mechanism which comes under the database optimizations that should consider. So this had been considered many different standpoints which provide a number of different solutions in ...

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REVIEW OF SOME CHECKPOINTING ALGORITHMS IN DISTRIBUTED AND MOBILE SYSTEMS

REVIEW OF SOME CHECKPOINTING ALGORITHMS IN DISTRIBUTED AND MOBILE SYSTEMS

... 2.4 In [2] Guohong Cao and Mukesh Singhal had introduced the concept of “Mutable Checkpoint” which is neither a tentative checkpoint nor a permanent checkpoint to design efficient checkpointing algorithms for ...

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Improvement of Distributed Computing Performance with Fault Tolerant Algorithms

Improvement of Distributed Computing Performance with Fault Tolerant Algorithms

... Fault tolerance is the dynamic method that’s used to keep the interconnected systems together, sustain reliability, and availability in distributed systems. The hardware and software redundancy methods are the ...

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Grid-based Distributed Data Mining Systems, Algorithms and Services

Grid-based Distributed Data Mining Systems, Algorithms and Services

... as distributed knowledge management systems providing pervasive access, adap- tivity, and high performance for virtual organizations in science, engineering and industry that need to produce knowledge-based ...

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