Dynamic Task Scheduling Scheme for a GPGPU Programming Framework

2015 ◽  
Author(s):  
Kazuhiko Ohno ◽  
Rei Yamamoto
Keyword(s):  
Task Scheduling ◽  
Dynamic Task ◽  
Scheduling Scheme ◽  
Programming Framework ◽  
Dynamic Task Scheduling

Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers

2018 ◽  
Vol 24 (3) ◽  
pp. 1063-1077 ◽  
Author(s):  
Avinab Marahatta ◽  
Youshi Wang ◽  
Fa Zhang ◽  
Arun Kumar Sangaiah ◽  
Sumarga Kumar Sah Tyagi ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Data Centers ◽  
Fault Tolerant ◽  
Energy Aware ◽  
Cloud Data ◽  
Dynamic Task ◽  
Scheduling Scheme ◽  
Cloud Data Centers ◽  
Dynamic Task Scheduling

Classification-based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center

2019 ◽  
pp. 1-1 ◽  
Author(s):  
Avinab Marahatta ◽  
Sandeep Pirbhulal ◽  
Fa Zhang ◽  
Reza M. Parizi ◽  
Kim-Kwang Raymond Choo ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Data Center ◽  
Energy Efficient ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Dynamic Task ◽  
Scheduling Scheme ◽  
Dynamic Task Scheduling

scholarly journals Dynamic Task Scheduling Scheme for Processing Real-Time Stream Data in Storm Environments

2021 ◽  
Vol 11 (17) ◽  
pp. 7942
Author(s):  
Dojin Choi ◽  
Hyeonwook Jeon ◽  
Jongtae Lim ◽  
Kyoungsoo Bok ◽  
Jaesoo Yoo
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Dynamic Scheduling ◽  
Stream Data ◽  
Heterogeneous Cluster ◽  
Dynamic Task ◽  
Scheduling Scheme ◽  
Load Types ◽  
Internet Of Things Technology ◽  
Dynamic Task Scheduling

Owing to the recent advancements in Internet of Things technology, social media, and mobile devices, real-time stream balancing processing systems are commonly used to process vast amounts of data generated in various media. In this paper, we propose a dynamic task scheduling scheme considering task deadlines and node resources. The proposed scheme performs dynamic scheduling using a heterogeneous cluster consisting of various nodes with different performances. Additionally, the loads of the nodes considering the task deadlines are balanced by different task scheduling based on three defined load types. Based on diverse performance evaluations it is shown that the proposed scheme outperforms the conventional schemes.

Reinforcement Learning in Dynamic Task Scheduling: A Review

2020 ◽  
Vol 1 (6) ◽  
Author(s):  
Chathurangi Shyalika ◽  
Thushari Silva ◽  
Asoka Karunananda
Keyword(s):  
Reinforcement Learning ◽  
Task Scheduling ◽  
Dynamic Task ◽  
Dynamic Task Scheduling
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