A Feature Based Comparison Study of Big Data Scheduling Algorithms

被引：0
|
作者：
Mana, Suja Cherukullapurath [1 ]
机构：
[1] Sathyabama Univ, Dept Comp Sci, Madras, Tamil Nadu, India
来源：
2018 2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION, AND SIGNAL PROCESSING (ICCCSP): SPECIAL FOCUS ON TECHNOLOGY AND INNOVATION FOR SMART ENVIRONMENT | 2018年
关键词：
Big data; Hadoop; Job scheduling; Algorithms;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Many big data systems are in the rise to handle the high volume of data that need to be stored and processed in the current world scenarios. One of the key features of the big data system is an efficient job scheduling using a robust scheduling algorithm. This paper will do a survey of some of the big data scheduling algorithms in terms of fairness, speed of processing, efficiency etc. This paper describes briefly about how a big data system works and then go deep in to some of the scheduling algorithms used in the big data systems.
引用
收藏
页码：24 / 26
页数：3
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