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ORCIDJournal of Parallel and Distributed Computing, Volumes 79-80
Volumes 79-80, May 2015
- Srinivas Aluru, Yogesh Simmhan
:
Editorial: Scalable Systems for Big Data Management and Analytics. 1-2
- Marcos Dias de Assunção, Rodrigo N. Calheiros, Silvia Bianchi, Marco A. S. Netto, Rajkumar Buyya:
Big Data computing and clouds: Trends and future directions. 3-15 - André Luckow, Mark Santcroos, Ashley Zebrowski, Shantenu Jha:
Pilot-Data: An abstraction for distributed data. 16-30 - Frank K. H. A. Dehne, Q. Kong, Andrew Rau-Chaplin, Hamidreza Zaboli, R. Zhou:
Scalable real-time OLAP on cloud architectures. 31-41 - Sachini Jayasekara, Sameera Kannangara, Tishan Dahanayakage, Isuru Ranawaka, Srinath Perera, Vishaka Nanayakkara:
Wihidum: Distributed complex event processing. 42-51 - Sérgio Esteves, João Nuno de Oliveira e Silva, João Paulo Carvalho, Luís Veiga:
Incremental dataflow execution, resource efficiency and probabilistic guarantees with Fuzzy Boolean nets. 52-66 - Mauro Andreolini, Michele Colajanni, Marcello Pietri, Stefania Tosi:
Adaptive, scalable and reliable monitoring of big data on clouds. 67-79 - Eugen Feller, Lavanya Ramakrishnan, Christine Morin:
Performance and energy efficiency of big data applications in cloud environments: A Hadoop case study. 80-89 - Eun-Sung Jung, Rajkumar Kettimuthu, Venkatram Vishwanath:
Cluster-to-cluster data transfer with data compression over wide-area networks. 90-103 - Michael Svendsen, Arko Provo Mukherjee, Srikanta Tirthapura:
Mining maximal cliques from a large graph using MapReduce: Tackling highly uneven subproblem sizes. 104-114 - Adam Lugowski, Shoaib Kamil, Aydin Buluç, Samuel Williams, Erika Duriakova, Leonid Oliker, Armando Fox, John R. Gilbert:
Parallel processing of filtered queries in attributed semantic graphs. 115-131 - Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Abhinav Vishnu:
A work stealing based approach for enabling scalable optimal sequence homology detection. 132-142
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