title: MRPack: Multi-Algorithm Execution Using Compute-Intensive Approach in MapReduce.
abstract: Large quantities of data have been generated from multiple sources at exponential rates in the last few years. These data are generated at high velocity as real time and streaming data in variety of formats. These characteristics give rise to challenges in its modeling, computation, and processing. Hadoop MapReduce (MR) is a well known data-intensive distributed processing framework using the distributed file system (DFS) for Big Data. Current implementations of MR only support execution of a single algorithm in the entire Hadoop cluster. In this paper, we propose MapReducePack (MRPack), a variation of MR that supports execution of a set of related algorithms in a single MR job. We exploit the computational capability of a cluster by increasing the compute-intensiveness of MapReduce while maintaining its data-intensive approach. It uses the available computing resources by dynamically managing the task assignment and intermediate data. Intermediate data from multiple algorithms are managed using multi-key and skew mitigation strategies. The performance study of the proposed system shows that it is time, I/O, and memory efficient compared to the default MapReduce. The proposed approach reduces the execution time by 200% with an approximate 50% decrease in I/O cost. Complexity and qualitative results analysis shows significant performance improvement.
authors: Ubiquitous Computing Lab., Department of Computer Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
authors: Muhammad
authors: M
authors: Idris
authors: Ubiquitous Computing Lab., Department of Computer Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
authors: Shujaat
authors: S
authors: Hussain
authors: Ubiquitous Computing Lab., Department of Computer Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
authors: Muhammad Hameed
authors: MH
authors: Siddiqi
authors: Haptics Lab., Department of Computer Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
authors: Waseem
authors: W
authors: Hassan
authors: Ubiquitous Computing Lab., Department of Computer Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
authors: Hafiz
authors: H
authors: Syed Muhammad Bilal
authors: Ubiquitous Computing Lab., Department of Computer Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
authors: Sungyoung
authors: S
authors: Lee
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D012984:Software