Search Results - subject:"Mapreduce"

Recent Developments on Security and Reliability in Large-Scale Data Processing with MapReduce

Esposito, Christian; Ficco, Massimo - In: International Journal of Data Warehousing and Mining (IJDWM) 12 (2016) 1, pp. 49-68

opportunities in commerce, science, and computing applications. MapReduce is a paradigm that offers a programming model and an … MapReduce frameworks are strongly required in order to manage sensible information, and to obtain the right answer at the right … time. In this paper, the authors present the main implementation of the MapReduce programming paradigm, provided by Apache …

Persistent link: https://www.econbiz.de/10012044209

Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications

Hagos, Desta Haileselassie - In: International Journal of Grid and High Performance … 8 (2016) 2, pp. 1-22

The rapid growth of Cloud Computing has brought with it major new challenges in the automated manageability, dynamic network reconfiguration, provisioning, scalability and flexibility of virtual networks. OpenFlow-enabled Software-Defined Networking (SDN) alleviates these key challenges through...

Persistent link: https://www.econbiz.de/10012045023

An Intelligent Approval System for City Construction based on Cloud Computing and Big Data

Chen, Guanlin; Wang, Erpeng; Sun, Xinxin; Lu, Yizhe - In: International Journal of Grid and High Performance … 8 (2016) 3, pp. 57-69

the distributed programming framework of MapReduce, making full use of the large amount of historical approval data, and … adopts Hadoop as the development platform, using HBase, Solr and MapReduce technology to complete the prototype development …

Persistent link: https://www.econbiz.de/10012045032

Efficient Querying Distributed Big-XML Data using MapReduce

Kunfang, Song; Lu, Hongwei - In: International Journal of Grid and High Performance … 8 (2016) 3, pp. 70-79

MapReduce is a widely adopted computing framework for data-intensive applications running on clusters. This paper … proposed an approach to exploit data parallelisms in XML processing using MapReduce in Hadoop. The authors' solution seamlessly …-phase MapReduce solution are designed that is able to efficiently address the issues of labeling, indexing, and query processing on …

Persistent link: https://www.econbiz.de/10012045033

Image Mosaicing Using Binary Edge Detection Algorithm in a Cloud-Computing Environment

Aljarrah, Inad A.; Alamareen, Abdullah; Al-Jarrah, Omar - In: International Journal of Information Technology and Web … 11 (2016) 3, pp. 1-14

-nodes in the cloud and a MapReduce technique is used for image distribution and collection, where the root node is used as …

Persistent link: https://www.econbiz.de/10012046083

A Novel Evolutionary Biclustering Approach using MapReduce(EBC-MR)

Rathipriya R. - In: International Journal of Knowledge Discovery in … 6 (2016) 1, pp. 26-36

expression data) into local pattern using MapReduce framework. The proposed biclustering approach extracts the highly coherent … bicluster using a correlation measure called Average Correlation Value measure. Furthermore, MapReduce based genetic algorithm … mostly. The MSWeb dataset and MSNBC web usage data set are used to test the performance of new MapReduce based Evolutionary …

Persistent link: https://www.econbiz.de/10012046195

Local Optima Avoidance in GA Biclustering using Map Reduce

Rathipriya R.; Gowri R. - In: International Journal of Knowledge Discovery in … 6 (2016) 1, pp. 37-47

find more optimal patterns. In this paper, a novel approach for population setup in MapReduce framework is proposed. The … maximal population is split into population sets, and these groups will proceed searching in parallel using MapReduce …

Persistent link: https://www.econbiz.de/10012046196

Movie Analytics for Effective Recommendation System using Pig with Hadoop

Bhatnagar, Vishal; Jain, Arushi - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 2, pp. 82-100

Movies have been a great source of entertainment for the people ever since their inception in the late 18th century. The term movie is very broad and its definition contains language and genres such as drama, comedy, science fiction and action. The data about movies over the years is very vast...

Persistent link: https://www.econbiz.de/10012047356

Olympics Big Data Prognostications

Bhatnagar, Vishal; Jain, Arushi - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 4, pp. 32-45

Data is continuously snowballing over the years, gradually a huge growth is seen in data to store and tame to yield meticulous result. It gives rise to a concept nowadays, reckoned as big data analytics. With the summer Olympics at Rio de Janeiro, Brazil in the year 2016 round the corner, we,...

Persistent link: https://www.econbiz.de/10012047365

A Scalable MapReduce-enabled Glowworm Swarm Optimization Approach for High Dimensional Multimodal Functions

Ludwig, Simone A.; Aljarah, Ibrahim - In: International Journal of Swarm Intelligence Research (IJSIR) 7 (2016) 1, pp. 32-54

optimize multimodal functions efficiently. In this paper, a parallel MapReduce-based GSO algorithm is proposed to speedup the … GSO optimization process. The authors argue that GSO can be formulated based on the MapReduce parallel programming model …

Persistent link: https://www.econbiz.de/10012047831