Time- and cost- efficient task scheduling across geo-distributed data centers

• Main Authors: Hu, Zhiming, Li, Baochun, Luo, Jun
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Big Data Processing; Task Scheduling; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/105436; http://hdl.handle.net/10220/48661; http://dx.doi.org/10.1109/TPDS.2017.2773504
• Institution: Nanyang Technological University

Typically called big data processing, analyzing large volumes of data from geographically distributed regions with machine learning algorithms has emerged as an important analytical tool for governments and multinational corporations. The traditional wisdom calls for the collection of all the data a...