large-scale distributed model
Hadoop MapReduce Scheduling Algorithms – A Survey
... process large-scale datasets on computing ...programming model which processes terrabytes of data in very less ...in distributed file ...
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Distributed Data Analysis For Large-Scale Social Networks
... For informal community examination, the merging of straggling FEP might need to encounter noteworthy quantities of emphases furthermore needs a lot of calculation and correspondence in every cycle, actuating genuine ...
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A Large Scale Distributed Knowledge Organization System
... Hypertext and hypermedia systems have gathered a discrete success. As known, they provide a way to explore texts, documents and other kinds of media, such as images, videos and music, in a not sequential order. The web ...
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Regional drought assessment using a distributed hydrological model coupled with Standardized Runoff Index
... spatially distributed Standardized Runoff Index (SRI) were reconstructed in the Weihe River basin, northwest ...point scale or mosaic ...on large spatio-temporal scales until the rapid development of ...
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Modelling large scale enterprises : A distributed simulation approach
... and large applications. Distributed simulation (along with parallel simulation) provides an alternative solution when today’s highly complex systems are to be simulated by decomposing a simulation ...
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Simulation Framework for the Evaluation of Dependable Distributed Systems
... of distributed systems is appealing due to their efficiency and ...day distributed systems and allow designing realistic simulation ...modelling large scale distributed systems, allows ...
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A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
... a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence syntactic structure, and long-span document semantic ...
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Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters
... and model size, an error-tolerant, communication efficient, yet versatile distributed algorithm has become vital for the success of many large-scale machine learning ...in model ...
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Private Large-Scale Databases with Distributed Searchable Symmetric Encryption
... Abstract. With the growing popularity of remote storage, the ability to outsource a large private database yet be able to search on this encrypted data is critical. Searchable symmetric encryption (SSE) is a ...
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Integrated approach to study river fluxes, water and sediment sources apportionment in sparsely monitored catchment
... a large-scale semi- distributed hydrological and erosion model (using the SWAT tool), a statistical assessment of regular discharge data, the discrimination of runoff sources using end-member ...
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Large Scale Image Processing Using Distributed and Parallel Architecture
... programming model that allows leveraging the high compute-intensive processing power of the Graphical Processing Units (GPUs) to perform general, non- graphical tasks in a massively parallel manner ...
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Data Accessibility for Resource Selection in Large-Scale Distributed Systems
... In our system model, a set of candidate nodes is evaluated for its accessibility before allocating a job. We now investigate the impact of candidate size (jCj). Fig. 8 demonstrates the performance changes with ...
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Distributed development of large scale distributed systems: the case of the particle physics grid
... Engestrom built upon Leont’ev’s work in developing the concept of activity as a unit of analysis. Engestrom, based on Vygotsky’s requirements, elucidated a definition of activity as a unit of analysis that fulfils the ...
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Good Ole Hadoop! How We Love Thee!
... Conclusions • We introduced MapReduce programming model for processing large scale data • We discussed the supporting Hadoop Distributed File System • The concepts were illustrated using[r] ...
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Load-Balancing Metric for Service Dependability in Large Scale Distributed Environments
... services: one to calculate the administrative distance between nodes where there are services (this is a maximum flow problem) and another for detecting a fall service/container. First service can help Monitor Service to ...
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Distributed piecewise filtering design for large scale networked nonlinear systems
... of distributed piecewise H ∞ filtering for discrete-time large-scale nonlinear ...considered large-scale system is composed of a number of nonlinear subsystems and exchanges its ...
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Distributed Computing for Large-scale Graphs
... novel distributed parti- tioning algorithm that divides the edge set into similar sized ...programming model. etsch ’s programming model is shown to be flexible and can easily reuse sequential ...
141
A Scalable Distributed Syntactic, Semantic, and Lexical Language Model
... very large corpora to train our composite language model, the data and the parameters cannot be stored together on a single machine, so we have to resort to dis- tributed ...of large-scale ...
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Large-scale distributed L-BFGS
... the model with different param- eters and test them on a validation ...be large, this approach can be computationally expensive and time consuming, especially on large-scale ...
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LARGE SCALE SATELLITE IMAGE PROCESSING USING HADOOP DISTRIBUTED SYSTEM
... In the internet service data base is most important part in that database image are stored in the world large data of images so that handling is very difficult just like ,the duplication of image it’s increases ...
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