A data intensive heuristic approach to the two-stage streaming scheduling problem

Author:

Liang Wei,Hu Chunhua,Wu Min,Jin Qun

Funder

National Nature Science Foundation of China

Program for New Century Excellent Talents in University

Key Laboratory of Hunan Province for Mobile Business Intelligence

Mobile E-business 2011 Collaborative Innovation Center of Hunan Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Networks and Communications,Theoretical Computer Science

Reference35 articles.

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5. A heuristic scheduling approach to hybrid makespan problem for data intensive computing;Liang,2015

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2. Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything;IEEE Internet of Things Journal;2023-02-15

3. MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction;IEEE Access;2023

4. An On-the-Fly Scheduling Strategy for Distributed Stream Processing Platform;2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom);2018-12

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