Temperature, Power, and Makespan Aware Dependent Task Scheduling for Data Centers

2011 ◽  
Author(s):  
Zheng Li ◽  
Li Wang ◽  
Shangping Ren ◽  
Gang Quan
Keyword(s):  
Task Scheduling ◽  
Data Centers

scholarly journals Data-Intensive Task Scheduling for Heterogeneous Big Data Analytics in IoT System

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4508
Author(s):  
Xin Li ◽  
Liangyuan Wang ◽  
Jemal H. Abawajy ◽  
Xiaolin Qin ◽  
Giovanni Pau ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Task Scheduling ◽  
Execution Time ◽  
Data Centers ◽  
Big Data Analysis ◽  
Data Locality ◽  
Data Migration ◽  
Task Execution ◽  
Task Execution Time

Efficient big data analysis is critical to support applications or services in Internet of Things (IoT) system, especially for the time-intensive services. Hence, the data center may host heterogeneous big data analysis tasks for multiple IoT systems. It is a challenging problem since the data centers usually need to schedule a large number of periodic or online tasks in a short time. In this paper, we investigate the heterogeneous task scheduling problem to reduce the global task execution time, which is also an efficient method to reduce energy consumption for data centers. We establish the task execution for heterogeneous tasks respectively based on the data locality feature, which also indicate the relationship among the tasks, data blocks and servers. We propose a heterogeneous task scheduling algorithm with data migration. The core idea of the algorithm is to maximize the efficiency by comparing the cost between remote task execution and data migration, which could improve the data locality and reduce task execution time. We conduct extensive simulations and the experimental results show that our algorithm has better performance than the traditional methods, and data migration actually works to reduce th overall task execution time. The algorithm also shows acceptable fairness for the heterogeneous tasks.

scholarly journals Energy-aware task scheduling in data centers using an application signature

2022 ◽  
Vol 97 ◽  
pp. 107630
Author(s):  
Juan Carlos Salinas-Hilburg ◽  
Marina Zapater ◽  
José M. Moya ◽  
José L. Ayala
Keyword(s):  
Task Scheduling ◽  
Data Centers ◽  
Energy Aware

Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction

2011 ◽  
Vol 34 (4) ◽  
pp. 1068-1077 ◽  
Author(s):  
Xiangzhen Kong ◽  
Chuang Lin ◽  
Yixin Jiang ◽  
Wei Yan ◽  
Xiaowen Chu
Keyword(s):  
Task Scheduling ◽  
Data Centers ◽  
Dynamic Task ◽  
Virtualized Data Centers ◽  
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
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