large scale distributed programming
Hadoop MapReduce Scheduling Algorithms – A Survey
... process large-scale datasets on computing ...a programming model which processes terrabytes of data in very less ...in distributed file ...
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Mobile Fog: A Programming Model for Large Scale Applications on the Internet of Things
... Information from sensors on mobile devices, e.g., vehicles, can help detect traffic situations if the information is shared and aggregated. For example, a sequence of several similar movement and acceleration patterns ...
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Design and Implementation of the PULSAR Programming System for Large Scale Computing
... While the packet is a very simple concept in the context of a CPU implementation, support for accelerators introduces an additional level of complexity, due to the fact that accelerators have separate memories. A ...
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Distributed approximate spectral clustering for large-scale datasets
... not scale up to high-dimensional large ...MapReduce distributed programming framework and experimented with synthetic datasets as well as a real dataset from Wikipedia that has more than three ...
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Large Scale Image Processing Using Distributed and Parallel Architecture
... and 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 ...a ...
5
Distributed Data Analysis For Large-Scale Social Networks
... [3] T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko,R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Transactions on Pattern Analysis and Machine ...
5
Modelling large scale enterprises : A distributed simulation approach
... a distributed simulation for simulating the whole enterprise in order to evaluate the feasibility and profitability o f the proposed ...of distributed simulation allows each partner to hide any proprietary ...
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Mapreduce Programming Paradigm in Cloud Environment for Large-Scale Data Mining
... Massive amount of data is produced of late. Such data is known as big data with characteristic such as volume, velocity, variety and value. Such data when mined can provide comprehensive business intelligence. However, ...
12
Distributed Computing for Large-scale Graphs
... gps [100] also starts from pregel ’s programming model, but adds three important optimizations. It permits the interleaving of vertex-centric computation with more global computation, by allowing the master to ...
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HIVE, PIG & HBASE PERFORMANCE EVALUATION FOR DATA PROCESSING APPLICATIONS
... the distributed processing of large data sets across clusters of computers using simple programming ...to scale up from single servers to thousands of machines, each offering local computation ...
12
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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Performing Customer Behavior Analysis using Big Data Analytics
... MapReduce is a programming model for processing and generating large data sets with a parallel, distributed algorithm on a cluster. MapReduce works by breaking the processing into two phases: the map ...
7
Electrochemical Discharge Machining – An Overview
... a distributed storage system based on the registered Google File System for managing structured data that is aimed to scale to a very large size ...as Distributed Peer Data ...
8
Data Accessibility for Resource Selection in Large-Scale Distributed Systems
... object will depend on two main factors: the location of the data object with respect to the node and the node’s network characteristics such as its connectivity, bandwidth, and other networking capabilities. We have ...
13
Private Large-Scale Databases with Distributed Searchable Symmetric Encryption
... to scale to terabytes in size and millions of records, and we present our own timings that show that our solution is around 5× slower compared to MySQL when querying around 10% of the database, though the fixed ...
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A Methodology with Distributed Algorithms for Large-Scale Human Mobility Prediction
... the scale of the problem (a city-level trajectory distribution computation) is computationally intensive and requires efficient distributed algorithms to achieve suitable ...
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Optimizing Map Reduce Scheduling Using Parallel Processing Model On Data Nodes With K-Mean Clustering Algorithm In Hadoop Environment Prof. Abhishek Pandey, Ankita Malviya
... a programming model and an associated implementation proposed by Google for processing and generating large data sets in a distributed computing environment that is amenable to a broad variety of ...
5
Programming Languages for Large Scale Parallel Computing. Marc Snir
... OpenMP: partition of control is explicit (parallel block or loop); program presents global view of control. Global view (+ virtualization) supports dynamic[r] ...
42
A Review Paper on Botnet
... As botnet continue to gain momentum in the form of spam, bots, click fraud, large-scale identity of thefts and proxy nets and a large-scale distributed denial of service (DDoS) attacks. ...
5
On-line distributed hierarchical control and optimisation of large scale systems
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