Spark’s operation time predictive in cloud computing environment based on SRC-WSVR-Reference-Cited by-同舟云学术

Spark’s operation time predictive in cloud computing environment based on SRC-WSVR

Published:2018-01-15 Issue:1 Volume:24 Page:49-62
ISSN:1875-8940
Container-title:Journal of High Speed Networks
language:
Short-container-title:JHS

Author:

Li Peng¹²,Dong Lu¹,Xu He¹²,Lau Ting Fung³

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, China. E-mails: lipeng@njupt.edu.cn, 603963049@qq.com, xuhe@njupt.edu.cn

2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing 210003, China. E-mails: lipeng@njupt.edu.cn, xuhe@njupt.edu.cn

3. School of Mathematics and Information Security, Royal Holloway, University of London, Surrey, TW200EX, UK. E-mail: hk.tflau@gmail.com

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems

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5. Cloud-based automatic test data generation framework;Chawla;Journal of Computer & System Sciences,2016

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