Results 1 - 10 of 339

An Architecture for Big Data Analytics

by Joseph O. Chan, Joseph O. Chan
"... Big Data is the new experience curve in the new economy driven by data with high volume, velocity, variety, and veracity. They come from various sources that include the Internet, mobile devices, social media, geospatial devices, sensors, and other machine-generated data. Unlocking the value of Big ..."
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processing platforms. Analytics is at the core of exploiting values from Big Data to create consumable insights for business and government. This paper presents architecture for Big Data Analytics and explores Big Data technologies that include NoSQL databases, Hadoop Distributed File System and MapReduce.

Starfish: A Self-tuning System for Big Data Analytics

by Herodotos Herodotou, Harold Lim, Gang Luo, Nedyalko Borisov, Liang Dong, Fatma Bilgen Cetin, Shivnath Babu - In CIDR , 2011
"... Timely and cost-effective analytics over “Big Data ” is now a key ingredient for success in many businesses, scientific and engineering disciplines, and government endeavors. The Hadoop software stack—which consists of an extensible MapReduce execution engine, pluggable distributed storage engines, ..."
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Timely and cost-effective analytics over “Big Data ” is now a key ingredient for success in many businesses, scientific and engineering disciplines, and government endeavors. The Hadoop software stack—which consists of an extensible MapReduce execution engine, pluggable distributed storage engines

A Distributed Recommendation Platform for Big Data

by Daniel Valcarce, Javier Parapar
"... Abstract: The vast amount of information that recommenders manage these days has reached a point where scalability has become a critical factor. In this work, we propose a scalable architecture designed for computing Collaborative Filtering recommenda-tions in a Big Data scenario. In order to build ..."
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Abstract: The vast amount of information that recommenders manage these days has reached a point where scalability has become a critical factor. In this work, we propose a scalable architecture designed for computing Collaborative Filtering recommenda-tions in a Big Data scenario. In order to build

ZeroVM: Secure Distributed Processing for Big Data Analytics

by Paul Rad , Van Lindberg , Jeff Prevost , Weining Zhang , Mo Jamshidi
"... Abstract-A key challenge for any large-scale computation today, whether in "big data" or in handling large-scale web services, has to do with the management of data. In the big data context, the arbitrary separation of storage and computation increases latency and decreases performance. Z ..."
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moving data to where the application is located. With the ability to move and execute application next to data, ZeroVM changes the conventional wisdom on infrastructure centric commuting models and enables even more data centric computing models to be used for Big-Data Analytics. The ZeroVM distributed

Tupleware: “Big ” Data, Big Analytics, Small Clusters

by Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Ugur Cetintemel, Stan Zdonik
"... There is a fundamental discrepancy between the targeted and actual users of current analytics frameworks. Most systems are designed for the challenges of the Googles and Facebooks of the world— processing petabytes of data distributed across large cloud deploy-ments consisting of thousands of cheap ..."
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There is a fundamental discrepancy between the targeted and actual users of current analytics frameworks. Most systems are designed for the challenges of the Googles and Facebooks of the world— processing petabytes of data distributed across large cloud deploy-ments consisting of thousands of cheap

Big Data Platforms as a Service: Challenges and Approach

by James Horey, Edmon Begoli, Raghul Gunasekaran, Seung-hwan Lim, James Nutaro
"... Infrastructure-as-a-Service has revolutionized the man-ner in which users commission computing infrastruc-ture. Coupled with Big Data platforms (Hadoop, Cassan-dra), IaaS has democratized the ability to store and pro-cess massive datasets. For users that need to customize or create new Big Data stac ..."
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Infrastructure-as-a-Service has revolutionized the man-ner in which users commission computing infrastruc-ture. Coupled with Big Data platforms (Hadoop, Cassan-dra), IaaS has democratized the ability to store and pro-cess massive datasets. For users that need to customize or create new Big Data

Building an Experimental Platform for Cloud and Big Data Education

by Genlang Chen, Jinqiu Yang, Shiting Wen, Guanhui Song
"... Abstract—The mission of Higher Education is to foster specialized talent with innovative spirit and practical ability. As regards the discipline of computer science, hands-on practice plays a very important role in the process of innovative and quality education. However, with the rapid development ..."
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present an experimental platform to address this urgent problem. Our platform enables users to perform cloud computing and big data processing technology, whether they are campus students or distance learners. Moreover, our experimental platform can improve students ’ interest in leaning and build a

Multi-resolution Social Network Community Identification and Maintenance on Big Data Platform

by Hidayet Aksu, Mustafa Canim, Yuan-chi Chang, Ibrahim Korpeoglu, Özgür Ulusoy
"... Abstract—Community identification in social networks is of great interest and with dynamic changes to its graph representation and content, the incremental maintenance of community poses significant challenges in computation. Moreover, the intensity of community engagement can be distinguished at mu ..."
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then present distributed algorithms to construct and maintain a multi-k-core graph, implemented on the scalable big-data platform Apache HBase. Our experimental evaluation results demonstrate orders of magnitude speedup by maintaining multi-k-core incrementally over complete reconstruction. Our algorithms thus

Big data

by Isaac Triguero A, Daniel Peralta A, Jaume Bacardit B, Salvador García C, Francisco Herrera A , 2014
"... Prototype reduction Prototype generation Nearest neighbor classification a b s t r a c t In the era of big data, analyzing and extracting knowledge from large-scale data sets is a very interesting and challenging task. The application of standard data mining tools in such data sets is not straightfo ..."
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Prototype reduction Prototype generation Nearest neighbor classification a b s t r a c t In the era of big data, analyzing and extracting knowledge from large-scale data sets is a very interesting and challenging task. The application of standard data mining tools in such data sets

A Survey on Big Data Analytical Tools Manjula M Ramannavar

by Mr Mahesh , G Huddar , Asst Professor
"... Abstract: Due to increase in use of social media forums, email, document and sensor data etc., data is generated at exponential speed. The growth of data has affected all fields, whether it is the business sector or the world of science. A larger amount of data gives a better output but also workin ..."
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of structure of data and the increasing computational needs of massive-scale analytics. In this paper, we review different big data analytical tools. We try to cover a variety of platforms for big data analytics and compare them based on computing environment, owner, latency, operational mode, data shapes
Results 1 - 10 of 339