scholarly journals Eco-Friendly Powering and Delay-Aware Task Scheduling in Geo-Distributed Edge-Cloud System: A Two-Timescale Framework

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 96468-96486
Author(s):  
Chunlei Sun ◽  
Xiangming Wen ◽  
Zhaoming Lu ◽  
Wenpeng Jing ◽  
Michele Zorzi
Keyword(s):  
Task Scheduling ◽  
Cloud System ◽  
System A

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.

scholarly journals Multi-scale measurements of mesospheric aerosols and electrons during the MAXIDUSTY campaign

2019 ◽  
Vol 12 (4) ◽  
pp. 2139-2153
Author(s):  
Tarjei Antonsen ◽  
Ove Havnes ◽  
Andres Spicher
Keyword(s):  
Cloud System ◽  
Sounding Rocket ◽  
Small Scale ◽  
Plasma Parameters ◽  
Multi Scale ◽  
System A ◽  
Power Spectral ◽  
Good Agreement ◽  
Strong Spin

Abstract. We present in situ measurements of small-scale fluctuations in aerosol populations as recorded through a mesospheric cloud system from the Faraday cups DUSTY and MUDD during on the MAXIDUSTY-1 and 1B sounding rocket payloads launched in the summer of 2016. Two mechanically identical DUSTY probes mounted with an inter-spacing of ∼10 cm recorded very different currents, with strong spin modulation, in certain regions of the cloud system. A comparison to auxiliary measurement show similar tendencies in the MUDD data. Fluctuations in the electron density are found to be generally anti-correlated to the negative aerosol charge density on all length scales; however, in certain smaller regions the correlation turns positive. We have also compared the spectral properties of the dust fluctuations, as extracted by wavelet analysis, to polar mesospheric summer echo (PMSE) strength. In this analysis, we find a relatively good agreement between the power spectral density (PSD) at the radar Bragg scale inside the cloud system; however the PMSE edge is not well represented by the PSD. A comparison of proxies for PMSE strength, constructed from a combination of derived dusty plasma parameters, shows that no simple proxy can reproduce PMSE strength well throughout the cloud system. Edge effects are especially poorly represented by the proxies addressed here.

A Constrained Static Scheduling Strategy in Edge Computing for Industrial Cloud Systems

2021 ◽  
Vol 14 (1) ◽  
pp. 33-61
Author(s):  
Yuliang Ma ◽  
Yinghua Han ◽  
Jinkuan Wang ◽  
Qiang Zhao
Keyword(s):  
Resource Management ◽  
Task Scheduling ◽  
Dynamic Scheduling ◽  
Edge Computing ◽  
Task Completion ◽  
Scheduling Strategy ◽  
Static Scheduling ◽  
System A ◽  
Industrial Internet ◽  
Industrial Cloud

With the development of industrial internet, attention has been paid for edge computing due to the low latency. However, some problems remain about the task scheduling and resource management. In this paper, an edge computing supported industrial cloud system is investigated. According to the system, a constrained static scheduling strategy is proposed to over the deficiency of dynamic scheduling. The strategy is divided into the following steps. Firstly, the queue theory is introduced to calculate the expectations of task completion time. Thereupon, the task scheduling and resource management problems are formulated and turned into an integer non-linear programming (INLP) problem. Then, tasks that can be scheduled statically are selected based on the expectation of task completion and constrains of various aspects of task. Finally, a multi-elites-based co-evolutionary genetic algorithm (MEB-CGA) is proposed to solve the INLP problem. Simulation result shows that the MEB-CGA significantly outperforms the scheduling quality of greedy algorithm.

scholarly journals Multi-scale Measurements of Mesospheric Aerosols and Electrons During the MAXIDUSTY Campaign

2018 ◽  
Author(s):  
Tarjei Antonsen ◽  
Ove Havnes ◽  
Andres Spicher
Keyword(s):  
Spectral Properties ◽  
Cloud System ◽  
Small Scale ◽  
Plasma Parameters ◽  
Multi Scale ◽  
System A ◽  
Spin Modulation ◽  
Power Spectral ◽  
Good Agreement ◽  
Strong Spin

Abstract. We present measurements of small scale fluctuations in aerosol populations as recorded through a mesospheric cloud system by the Faraday cups DUSTY and MUDD during the MAXIDUSTY-1B flight on the 8th of July, 2016. Two mechanically identical DUSTY probes mounted with an inter-spacing of ~ 10 cm, recorded very different currents, with strong spin modulation, in certain regions of the cloud system. A comparison to auxiliary measurement show similar tendencies in the MUDD data. Fluctuations in the electron density are found to be generally anti-correlated on all length scales, however, in certain smaller regions the correlation turns positive. We have also compared the spectral properties of the dust fluctuations, as extracted by wavelet analysis, to PMSE strength. In this analysis, we find a relatively good agreement between the power spectral density (PSD) at the radar Bragg scale inside the cloud system, however the PMSE edge is not well represented by the PSD. A comparison of proxies for PMSE strength, constructed from a combination of derived dusty plasma parameters, show that no simple proxy can reproduce PMSE strength well throughout the cloud system. Edge effects are especially poorly represented by the proxies addressed here.

Research on the Problem of Priority Inversion in Embedded RTOS

2013 ◽  
Vol 380-384 ◽  
pp. 3358-3361
Author(s):  
Xiao Hui Cheng ◽  
Jun Quan He ◽  
Qi Liang Liang
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Improved Method ◽  
Shared Resources ◽  
Application System ◽  
Priority Inversion ◽  
Shared Resource ◽  
Embedded Rtos ◽  
System A ◽  
Real Time Application

Pointing to the unpredictable problems that caused by the priority inversion during the period of using real-time application system, a new improved method, which based on the priority inheritance, was presented. The new method mainly considered the influence that the usage of shared resources impacted on the task scheduling, and recorded the information of each task which asked for the using of system resources by a set of task-shared-resource-link. System would schedule the task according by the records and the task waiting queues. This method was proved as a effective way to solve the phenomenon of priority inversion by experiment in ucos-ii kernel.

scholarly journals An Adaptive Task Scheduling Method for Networked UAV Combat Cloud System Based on Virtual Machine and Task Migration

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Bo Li ◽  
Shiyang Liang ◽  
Linyu Tian ◽  
Daqing Chen ◽  
Ming Zhang
Keyword(s):  
Virtual Machine ◽  
Task Scheduling ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Experimental Simulation ◽  
Cloud System ◽  
Task Migration ◽  
Scheduling Method ◽  
Task Processing ◽  
And Task

This paper presents a systematic work aiming to improve the efficiency of task processing in a networked UAV combat cloud system. The work consists of three major aspects: (1) an architecture of UAV combat cloud systems—such a system provides the necessary resource pool for powerful computing and storage facilities and defines the attributes of the entities in the resource pool in detail; (2) an online adaptive task redistribution and scheduling algorithm—the algorithm involves task migration being performed on virtual machines on the cloud system and aims to address the problems caused by static task scheduling approaches; and (3) an online virtual machine and task migration algorithm—the algorithm considers collectively the priority type and quantity of the tasks to be migrated on virtual machines along with time constraints to determine the migration of virtual machine or task and optimize resource usages. Experimental simulation results have demonstrated that the proposed system and the relevant algorithms can significantly improve the efficiency of task schedule.

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