Energy Aware Dynamic Workflow Application Partitioning and Task Scheduling in Heterogeneous Mobile Cloud Network

Lakhan, Abdullah; Li, Xiaoping

doi:10.1109/iccbb.2018.8756442

Cited by 29 publications

(17 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, they did not consider the security mechanism in the study. Yan et al [11], De-Lara et al [12], Lakhan et al [13] and Li et al [14] and Li et al [15,16] suggested serverless and container-based application partitioning, resource allocation and scheduling methodology-based linear and dynamic optimization in fog-cloud. The objective is to minimize the execution, energy, response time, and delay and offloading cost of applications.…”

Section: Related Workmentioning

confidence: 99%

Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Lakhan

Mohammed

Rashid

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes. IoMT enables many sensors to collect patient data from various locations and send it to a distributed hospital for further study. IoMT provides patients with a variety of paid programmes to help them keep track of their health problems. However, the current system services are expensive, and offloaded data in the healthcare network are insecure. The research develops a new, cost-effective and stable IoMT framework based on a blockchain-enabled fog cloud. The study aims to reduce the cost of healthcare application services as they are processing in the system. The study devises an IoMT system based on different algorithm techniques, such as Blockchain-Enable Smart-Contract Cost-Efficient Scheduling Algorithm Framework (BECSAF) schemes. Smart-Contract Blockchain schemes ensure data consistency and validation with symmetric cryptography. However, due to the different workflow tasks scheduled on other nodes, the heterogeneous, earliest finish, time-based scheduling deals with execution under their deadlines. Simulation results show that the proposed algorithm schemes outperform all existing baseline approaches in terms of the implementation of applications.

show abstract

Section: Related Workmentioning

confidence: 99%

Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Lakhan

Mohammed

Rashid

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Practical theories in Flipped classroom: 1. Dr Lawrence [46,47,75,76] proposed model of Flipped classroom, being sensible learners, give feedback smoothly, played well with vital performance. .…”

Section: Post-classroom Flipped Approachmentioning

confidence: 99%

A Review on State of the Art in Flipped Classroom Technology A Blended E-Learning

2021

IJETER

View full text Add to dashboard Cite

Flipped is an emerging mode of blended e-learning, as blended is mix mode of learning to enhance the skills of students, saving the time and cost either sides (students and educators). Flipped classroom is such as an e-learning blended approach in which instructions can be hovered into individual and groups, interactively to exchange and solving the assigned problems. Flipped classroom approach presents the dynamic, interactive and user’s friendly environments for in class and online blended learning. This kind of mode leads students to enhance their interpersonal skills, collaborate the experiences, and innovate new horizons by mutual activities for the given problems. The flipped mode has at least four dimensions; friendly easy environment, supporting culture for learning, contents availability when offline, minimizing time cost, trained educators/professionals and reducing repetition of learning content’s cost. In Flipped model of learning, first students go to seeking the exposure of problems by visiting the contents, materials, videos and other materials before getting in the classroom in person, fully aware to share or inquire the problem related matters in the class, its inverse approach against traditional institutional learning model. This is very effective mode of learningfor activity based and assignment-based learning strategies prior commencing class, fruitfulfeedback can be shared and reducing the tutorial part.

show abstract

“…The communication time and computation time, along with costs under deadline, are taken into consideration by the study. Energy-efficient offloading and cost-efficient task scheduling type problems investigated in these works [13]- [15]. They focused on improving battery energy via computational offloading to cloud computing.…”

Section: Related Workmentioning

confidence: 99%

“…• Baseline 1: We implement the existing cost-efficient static task scheduling strategies [13], [14] in the experiment part, and test their performance as compared to the proposed scheme in term of application costs.…”

Section: A Baseline Framework and Algorithmic Approachesmentioning

confidence: 99%

Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network

Zhao

Huang

2020

IEEE Access

View full text Add to dashboard Cite

Nowadays, the usage of the fog cloud-based Internet of Things (IoT) applications among users has been growing progressively. These applications may be E-Transport, E-Healthcare, Augmented Reality, and 3D-Game. Generally, contemporary cloud frameworks offer services based on virtual machines. These frameworks incurred with following issues such as long boot-time, overhead and unnecessary cost to run the IoT applications. We propose a new Microservice container fog system (MSCFS) based framework to run the mobility and delay-sensitive applications with minimum cost. The study the cost-efficient task scheduling problem in the heterogeneous fog servers. Furthermore, the study introduces the Cost Aware Computational Offloading and task scheduling (CACOTS)framework, which solves the task scheduling into multiple steps. Such as task sequencing step, resource matching step and scheduling step. The experimental results prove that the proposed MSCFS and CACOTS schemes can enhance server utilization. As decrease the services latency and average services bootup time more effectively, and minimize costs. INDEX TERMS Task scheduling, fog servers, boot-up time, microservices, container.

show abstract

Energy Aware Dynamic Workflow Application Partitioning and Task Scheduling in Heterogeneous Mobile Cloud Network

Cited by 29 publications

References 15 publications

Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

A Review on State of the Art in Flipped Classroom Technology A Blended E-Learning

Microservice Based Computational Offloading Framework and Cost Efficient Task Scheduling Algorithm in Heterogeneous Fog Cloud Network

Contact Info

Product

Resources

About