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Multi-Resource Computing Offload Strategy for Energy Consumption Optimization in Mobile Edge Computing
2022
Processes
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Combined with the workflow management system, a multi-resource computing offloading particle swarm optimization task scheduling algorithm for energy consumption optimization in mobile edge computing is ...
Under the constraint of user response time, the energy consumption of edge devices in the task scheduling scheme is better than the other four unloading strategies. ...
The multi-resource computing offload task scheduling algorithm is more efficient than traditional methods. ...
doi:10.3390/pr10091762
fatcat:iwnmupfn7vhztkidrcv36dxlou
A Review on Scheduling in Cloud Computing
2016
International Journal of UbiComp
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Thus the far reaching way of different type of scheduling algorithms in cloud computing environment surveyed which includes the workflow scheduling and grid scheduling. ...
The scheduling main goal is to achieve the accuracy and correctness on task completion. The scheduling in cloud environment which enables the various cloud services to help framework implementation. ...
Algorithm for Cloud
Hyper-heuristic
scheduling
algorithm (HHSA)
Evolutionary Multi-
Objective Workflow
Scheduling in Cloud
Evolutionary multi-
objective
optimization
(EMO)-based
algorithm ...
doi:10.5121/iju.2016.7302
fatcat:afwp3yravjhbfm3yct5ux2enui
Efficient Power Management in Mobile Computing with Edge Server Offloading Using Multi-Objective Optimization
2021
EAI Endorsed Transactions on Energy Web
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Then formulated the multi-objective problem with different constraints and solved it using various scheduling algorithms based on the obtained data. ...
to discover active scheduling with low energy consumption, execution time and cost. ...
Then formulated the multi-objective problem with different constraints and solved it using various scheduling algorithms based on the obtained data. ...
doi:10.4108/eai.8-7-2021.170288
fatcat:5tvruwgfzzc4plkgbpn2gjb4gm
Multi-Objective Immune Algorithm for Internet of Vehicles for Data Offloading
2022
Intelligent Automation and Soft Computing
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To overcome these issues, a Mobility aware Offloading scheme with Multi-Objective Immune Optimization algorithm (MOS-MOIO) is used in the cloud storage. ...
The generated information must alert the IoV users with a useful data offloading scheme. The result of the data offloading is evaluated with various performance metrics. ...
Using MOS with a multi-objective immune optimization algorithm efficiently reduces the unloading delays and calculates the execution, time of response, offloading time, and transmission time. ...
doi:10.32604/iasc.2022.026779
fatcat:oi2qizv2jrapnolirp7fqofgia
Mobile Edge Computing Architecture Challenges, Applications, and Future Directions
2023
International Journal of Grid and High Performance Computing
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This article performs the detailed survey of various MEC approaches with service provision and adoption. ...
Thus, this can significantly reduce the latency and optimize the power consumed by the tasks executed locally. ...
selection and task scheduling process. • A resource constraint based PSO approach is proposed for mobile task scheduling process in cloud virtual servers. ...
doi:10.4018/ijghpc.316837
fatcat:ctciwt7rfzfcfjpkc5p7lhuzqi
Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network
2021
Electronics
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Based on these layers, the work proposes a secure offloading-efficient task scheduling (SEOS) algorithm framework, which includes the deadline division method, task sequencing rules, homomorphic security ...
These internet-based applications can run on the distributed healthcare sensing system, which combines mobile computing, edge computing and cloud computing. ...
Initial scheduling maps all tasks based on sorting and security requirements onto heterogeneous mobile edge cloud computing efficiently. ...
doi:10.3390/electronics10161974
fatcat:oogdty2wvrfuna7bttzvgwqbpm
Study of Load Optimization and Performance Issues in Cloud
2018
Indonesian Journal of Electrical Engineering and Computer Science
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"Nowadays, cloud computing is the latest computing platform which is feasible to the user for computation and unlimited storage and data transmission with minimal cost and time in a cloud environment during ...
The main framework objective is to offer an effective solution to store/search/transmit/ data with minimal cost and time without compromising the QoS constraints. ...
The genetic algorithm integrated mobile cloud computing for the purpose of automatic offloading in enhancing the system response time. Also energy consumption minimized for mobile devices. ...
doi:10.11591/ijeecs.v11.i3.pp1035-1041
fatcat:il2b7qdsmzfzve5qkhhuxlkdmu
Constraints Based Heuristic Approach for Task Offloading In Mobile Cloud Computing
2021
Information Technology in Industry
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The overall results of the proposed heuristic approach are compared with state-of-the-art K-M LARAC algorithm and results show the improvement in execution time, communication time, mobile device energy ...
Broadly in mobile cloud computing the applications is either delay sensitive or delay tolerant. ...
The algorithms deal with the trade-off between time and cost for the task partitioning, offloading and time efficient scheduling on multi-sites. ...
doi:10.17762/itii.v8i1.74
fatcat:2yu7s7mfgrhnxkg7i3b73vch7q
An Optimized Mobile Cloud Computational Offloading Framework using K-Means Algorithm
2020
Journal of Computer Science
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Offloading the execution of heavy computational modules from mobile devices to Mobile Cloud Computing (MCC) is inevitable in today's era as it mainly focuses in consuming less battery power and execution ...
The proposed framework is compared with the existing mobile computation offloading frameworks with respect to energy saving, execution time and energy consumption. ...
Acknowledgment The authors would like to thank SASTRA Deemed to be University for the facilities used in this work. ...
doi:10.3844/jcssp.2020.202.210
fatcat:l2m3ypw34bhfxahgokt6lzso3u
A Comparative Analysis of Energy Efficient Mobile Offloading Mechanisms
2020
International Journal of Advanced Trends in Computer Science and Engineering
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In this paper, the objective is to give an analysis and extensive discussion of energy efficient mobile cloud computing offloading techniques in existence. ...
Mobile cloud computing is emerging approach in computer networks to increase the computation abilities of the mobile devices. ...
A novel algorithm minimizes the energy consumption together with helps to satisfy time constraints of mobile applications. ...
doi:10.30534/ijatcse/2020/5291.32020
fatcat:txhpxtksq5eqxgzj2kpvh4nlsy
Work Allocating Strategy Using a Powerful Prioritized Tasks in Mobile Cloud Computing Atmosphere
2021
International Journal for Research in Applied Science and Engineering Technology
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This is also termed as multi-site computation offloading in mobile cloud computation. ...
In this examination deceive computation to diverse cloudlets/data centres with respect to task scheduling is formulated for examination. ...
So as to resolve the above crisis of job sharing, task scheduling and reduced waiting time in mobile cloud computing, this work anticipates an efficient cuckoo search algorithm for job sharing approach ...
doi:10.22214/ijraset.2021.38799
fatcat:bsiwjbbtjjbqbhdcl34zxb2sbe
An Evolutionary Multi-Objective Approach for Resource Scheduling in Mobile Cloud Computing
2017
International Journal of Intelligent Engineering and Systems
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Mobile cloud computing (MCC) is one of the evolving fields in recent years. The complexity of MCC made researchers to concentrate on efficient application development. ...
To implement the MOGAMCC, the cloudsim toolkit was extended with the MOGA and its task scheduling approach determines the optimal scheduling policy. ...
A multi objective algorithm was proposed by Jahnke et al. [12] for work flow scheduling in cloud computing. The algorithm minimizes the total execution time and cost by employing the pareto model. ...
doi:10.22266/ijies2017.0228.02
fatcat:vug2zhuwdfc7thwaoqgyq3nob4
Joint Computation Offloading and Prioritized Scheduling in Mobile Edge Computing
2018
2018 International Conference on High Performance Computing & Simulation (HPCS)
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This paper proposes a joint computation offloading and prioritized task scheduling scheme in a multi-user mobile-edge computing system. ...
We investigate an energy minimizing task offloading strategy in mobile devices and develop an effective priority-based task scheduling algorithm with edge server. ...
Prioritized Task Scheduling Algorithm in Edge Layer Algorithm B processes all offloading requests from 2000 mobile devices, in this step, maximum waiting time N is calculated and compared with estimated ...
doi:10.1109/hpcs.2018.00157
dblp:conf/ieeehpcs/GaoM18
fatcat:ibn6ali7jzexrjmoxsmdlb64zu
Secure Communication Model for Dynamic Task Offloading in Multi-Cloud Environment
2022
International Journal on Recent and Innovation Trends in Computing and Communication
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Hence, secure communication model for dynamic task offloading in multi-cloud environment is proposed in this paper. Cloudlet also is used in this model. ...
Hence, cloud computing technology is used to overcome these limitations of the mobile device. But security is the main concern in the cloud server. ...
A Customized List Scheduling based Offloading (CLSO) algorithm is proposed in [5] that aims to reduce overall completion time while taking the end devices' energy constraints into account. ...
doi:10.17762/ijritcc.v10i10.5744
fatcat:7wapmz4mwvdw5otlujkmcqlbyi
Load Balanced and Energy Aware Cloud Resource Scheduling Design for Executing Data-intensive Application in SDVC
2021
International Journal of Advanced Computer Science and Applications
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VEC aid in reducing response time, delay with high reliability for workload execution. ...
Experiment outcome shows the LBEACRS achieves better makespan and energy efficiency performance when compared with standard cloud resource scheduling design. ...
Here the workload task are scheduled by minimizing Eq. ( 15 ) and meeting constraint defined in Eq. ( 16 ) and ( 17 ) in order to achieves high resource utilization and performance efficiency with minimal ...
doi:10.14569/ijacsa.2021.0121040
fatcat:odv3z2fjgbhczaqxycxf5qvfx4
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