Cost-Efficient Task Scheduling for Geo-distributed Data Analytics

2019 ◽  
pp. 95-104
Author(s):  
Linfeng Xie ◽  
Yang Dai ◽  
Yongjin Zhu ◽  
Xin Li ◽  
Xiangbo Li ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Data Analytics ◽  
Distributed Data ◽  
Cost Efficient

Optimizing Geo-Distributed Data Analytics with Coordinated Task Scheduling and Routing

2020 ◽  
Vol 31 (2) ◽  
pp. 279-293 ◽  
Author(s):  
Laiping Zhao ◽  
Yanan Yang ◽  
Ali Munir ◽  
Alex X. Liu ◽  
Yue Li ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Data Analytics ◽  
Distributed Data

Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network

2021 ◽  
Author(s):  
Abdullah Lakhan ◽  
Muhammad Suleman Memon ◽  
Qurat-ul-ain Mastoi ◽  
Mohamed Elhoseny ◽  
Mazin Abed Mohammed ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Cost Efficient ◽  
Cloud Network ◽  
And Task

scholarly journals Distributed Data Analytics Platform for Wide-Area Synchrophasor Measurement Systems

2016 ◽  
Vol 7 (5) ◽  
pp. 2397-2405 ◽  
Author(s):  
Dao Zhou ◽  
Jiahui Guo ◽  
Ye Zhang ◽  
Jidong Chai ◽  
Hesen Liu ◽  
...  
Keyword(s):  
Data Analytics ◽  
Wide Area ◽  
Distributed Data ◽  
Measurement Systems

Cost Efficient Design of Fault Tolerant Geo-Distributed Data Centers

2017 ◽  
Vol 14 (2) ◽  
pp. 289-301 ◽  
Author(s):  
Rakesh Tripathi ◽  
S. Vignesh ◽  
Venkatesh Tamarapalli ◽  
Deep Medhi
Keyword(s):  
Data Centers ◽  
Fault Tolerant ◽  
Distributed Data ◽  
Efficient Design ◽  
Cost Efficient

scholarly journals A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 441 ◽  
Author(s):  
Qurat-ul-ain Mastoi ◽  
Teh Ying Wah ◽  
Ram Gopal Raj ◽  
Abdullah Lakhan
Keyword(s):  
Health Care ◽  
Task Scheduling ◽  
Minimum Cost ◽  
Cloud Services ◽  
Cloud System ◽  
Scheduling Problems ◽  
Healthcare Applications ◽  
Algorithm Framework ◽  
Internet Of Medical Things ◽  
Cost Efficient

Recently, there has been a cloud-based Internet of Medical Things (IoMT) solution offering different healthcare services to wearable sensor devices for patients. These services are global, and can be invoked anywhere at any place. Especially, electrocardiogram (ECG) sensors, such as Lead I and Lead II, demands continuous cloud services for real-time execution. However, these services are paid and need a lower cost-efficient process for the users. In this paper, this study considered critical heartbeat cost-efficient task scheduling problems for healthcare applications in the fog cloud system. The objective was to offer omnipresent cloud services to the generated data with minimum cost. This study proposed a novel health care based fog cloud system (HCBFS) to collect, analyze, and determine the process of critical tasks of the heartbeat medical application for the purpose of minimizing the total cost. This study devised a health care awareness cost-efficient task scheduling (HCCETS) algorithm framework, which not only schedule all tasks with minimum cost, but also executes them on their deadlines. Performance evaluation shows that the proposed task scheduling algorithm framework outperformed the existing algorithm methods in terms of cost.

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