time-efficient distributed algorithms
EFFICIENT ALGORITHMS FOR DISTRIBUTED QUERIES
... a distributed database , we have the ability to decentralized data that are most heavily used by end users at geographically dispersed location and , at the same time , to combine data from different source ...
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Efficient Top-k Query Processing Algorithms in Highly Distributed Environments
... two algorithms, BulkDBPA and 4RUT, for top-k query processing in highly distributed environments over vertically partitioned ...centralized algorithms BPA2, BulkDBPA gets the advantage of low data ...
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Improving Network Life Time with Energy Efficient Radical Algorithms in MANET
... A distributed energy-aware location-based best relay selection strategy is incorporated, which is more reasonable for MANETs comparing with the existing schemes based on channel ...
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Highly efficient distributed hypergraph analysis: real-time partitioning and quantized learning
... number of partitions. As the number of partitions increases, the cut size increase dramatically as well. This is because, intuitively, if we put the whole hypergraph in one partition, there will be no cuts at all. ...
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Distributed Algorithms on Exact Personalized PageRank
... and 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 ...
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Efficient algorithms for distributed learning, optimization and belief systems over networks
... to time-varying undirected ...random time after which the beliefs will concentrate exponen- tially ...search algorithms [60], transmission node failures [61, 62, 63] and time-varying graphs ...
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New algorithms for distributed submodular maximization
... for distributed algorithms for submodular maximization problems, one may turn to the aforementioned successful ...discrete time step based on the gain with respect to some current fractional ...
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Vol 2, No 9 (2014)
... an efficient content sharing scheme where a node stores a message and carries it for certain duration until a communication opportunity arises and then delivers it to the ...and time of encounter and did ...
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Efficient Approximate Big Data Clustering: Distributed and Parallel Algorithms in the Spectrum of IoT Architectures
... The Universal Scalability Law. USL, or the universal scalability law [13], pro- posed by Neil Gunther, is a model to quantify the scalability of a system. Accord- ing to USL, there are two main obstacles on the way of ...
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Adaptive Cross-Layer Distributed Energy-Efficient Resource Allocation Algorithms for Wireless Data Networks
... the time-evolution of the achieved average utility (measured in bit/Joule), the average achieved SINR, and the average transmit power, respectively, for K = 8 and K = ...
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Multi-Sever based Distributed Coding based on HEVC/H.265 for Studio Quality Video Editing
... enormous time-consuming and video quality ...the efficient studio video ...coding algorithms are also proposed for efficient editing such as tool-level optimization, multi-serve based ...
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Enhancing Map-Reduce Mechanism for Big Data with Density-Based Clustering
... clustering algorithms among Map-Reduce, parallel processing framework over ...of algorithms undergoes from efficiency problem for higher execution time as well as inadequate ...an efficient ...
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Experimental analysis of time complexity and solution quality of swarm intelligence algorithm
... and time complexity) of three nature-inspired algorithms; particle swarm optimization, bat algorithm and artificial bee colony to determine which of the algorithms converge ...the algorithms. ...
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Distributed nonparametric and semiparametric regression on SPARK for big data forecasting
... algebra algorithms that are available for single-machine ...separating algorithms into portions that require matrix operations versus vector ...corresponding algorithms for block matrices are ...of ...
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Experimental analysis of time complexity and solution quality of swarm intelligence algorithm
... and time complexity) of three nature-inspired algorithms; particle swarm optimization, bat algorithm and artificial bee colony to determine which of the algorithms converge ...the algorithms. ...
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Towards More Scalable and Robust Machine Learning
... We compare the performance guarantees of the above two robust distribute GD algorithms. The trimmed-mean-based algorithm achieves the statistical error rate O( e √ α n + √ nm 1 ), which is order-optimal for ...
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Efficient algorithms for solving static Hamilton Jacobi equations
... The projection methods have the advantage that they are relatively easy to imple- ment. The fundamental operations in these methods are sorting an array and doing binary searches on that array. These operations are in ...
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Buffer aided distributed space time coding schemes and algorithms for cooperative DS CDMA systems
... In this work, we propose buffer-aided DSTC schemes and relay pair algorithms for cooperative direct-sequence code-division multiple access (DS-CDMA) systems. Specifically, in the proposed cooperative DS-CDMA sys- ...
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Numerical algorithms for multidimensional time fractional wave equation of distributed order with a nonlinear source term
... a distributed-order so as to capture delays of distinct ...ordinary distributed-order fractional differential equations, the general- ized necessary conditions were ...convex distributed optimal ...
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Structuring A Token Based Distributed Mutual Exclusion Algorithm For Mobile Hosts
... To prevent a MH from accessing the token more than once in one traversal of the ring, the token is associated with a counter (token-Val) which is incremented every time it completes one traversal. Each MH ...
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