Abstract
MapReduce is a popular parallel data-processing system, and task scheduling is one of the kernel techniques in MapReduce. In many applications, users have requirements that their MapReduce jobs should be completed before specific deadlines. Hence, in this paper, a novel scheduling algorithm based on the most effective sequence (SAMES) is proposed for deadline-constraint jobs in MapReduce. First, according to the characteristics of MapReduce, we propose a novel sequence-based execution strategy for MapReduce jobs and a new concept, the effective sequence (ES). Then, we design some efficient approaches for finding ESes and choose the most effective sequence (MES) for job execution. We also propose methods for MES-updates and exception handling. Finally, we verify the effectiveness of SAMES through experiments. The experimental results show that SAMES is an efficient scheduling algorithm for deadline-constraint jobs in MapReduce.
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Xite Wang is a PhD candidate in the College of Information Science & Engineering, Northeastern University, China, from where he also received his BS and MS in 2009 and 2011, respectively. His research interests include cloud computing and big-data management.
Derong Shen is a full professor and a PhD supervisor in the College of Information Science & Engineering, Northeastern University, China, from where she received her PhD in 2004. She received her BS and MS from Jilin University, China in 1987 and 1990, respectively. Her interests include entity search and distributed computing.
Mei Bai is a PhD candidate in the College of Information Science & Engineering, Northeastern University, China, from where she received her BS and MS in 2009 and 2011, respectively. Her research interests include sensor data management and uncertain data management.
Tiezheng Nie is an associate professor in the College of Information Science & Engineering, Northeastern University, China, from where he received his BS, MS, and PhD in 2002, 2005, and 2009, respectively. His interests include data quality and data integration.
Yue Kou is an associate professor in the College of Information Science & Engineering, Northeastern University, China, from where she also received her BS, MS, and PhD in 2002, 2005, and 2009, respectively. Her interests include entity resolution and Web data management.
Ge Yu is a full professor and a PhD supervisor in the College of Information Science & Engineering, Northeastern University, China, from where he received his BS and MS in 1982 and 1985, respectively. He received his PhD from Kyushu University of Japan in 1996. He is a senior member of the CCF, and a member of the ACM, IEEE. His interests include databases and big-data management.
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Wang, X., Shen, D., Bai, M. et al. SAMES: deadline-constraint scheduling in MapReduce. Front. Comput. Sci. 9, 128–141 (2015). https://doi.org/10.1007/s11704-014-4138-y
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DOI: https://doi.org/10.1007/s11704-014-4138-y