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Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network

Abdullah Lakhan, Qurat-ul-ain Mastoi, Mazhar Ali Dootio, Fehaid Alqahtani, Ibrahim R. Alzahrani, Fatmah Baothman, Syed Yaseen Shah, Syed Aziz Shah, Nadeem Anjum, Qammer Hussain Abbasi, Muhammad Saddam Khokhar
2021 Electronics  
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.  ...  Therefore, it cannot be made publicly available for other researchers. Conflicts of Interest: The authors declare that there is no conflict of interest.  ... 
doi:10.3390/electronics10161974 fatcat:oogdty2wvrfuna7bttzvgwqbpm

Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud

Abdullah Lakhan, Jin Li, Tor Morten Groenli, Ali Hassan Sodhro, Nawaz Ali Zardari, Ali Shariq Imran, Orawit Thinnukool, Pattaraporn Khuwuthyakorn
2021 Electronics  
These applications are heavyweight and divided between a thin client mobile device and a thick server edge cloud for execution.  ...  This study devises a dynamic application-partitioning workload task-scheduling-secure (DAPWTS) algorithm framework that consists of different schemes, such as min-cut algorithm, searching node, energy-enabled  ...  The study suggested energy-efficient offloading and secure task-scheduling schemes in the system for healthcare applications.  ... 
doi:10.3390/electronics10222797 fatcat:5sjqn7lixram5ebjakcer46dca

A Lightweight Secure Adaptive Approach for Internet-of-Medical-Things Healthcare Applications in Edge-Cloud-Based Networks

Abdullah Lakhan, Ali Hassan Sodhro, Arnab Majumdar, Pattaraporn Khuwuthyakorn, Orawit Thinnukool
2022 Sensors  
Compared to current strategies for delay and security validation in a model, computational results revealed that the LSEOS outperformed all available offloading and scheduling methods for process applications  ...  For executing mobile-cloud applications, offloading and scheduling are fundamental mechanisms.  ...  Acknowledgments: This research work was partially supported by Dawood University of Engineering and Technology and Chiang Mai University.  ... 
doi:10.3390/s22062379 pmid:35336549 pmcid:PMC8956015 fatcat:awsx2rlwcrerncgspg3gjkzh3q

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

Xuehua Zhao, Changcheng Huang
2020 IEEE Access  
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.  ...  Energy-efficient offloading and VOLUME 8, 2020 cost-efficient task scheduling type problems investigated in these works [13] - [15] .  ... 
doi:10.1109/access.2020.2981860 fatcat:lqsxlumkzjbepbnwjnfp7ub27i

A Novel Task Caching and Migration Strategy in Multi-Access Edge Computing Based on the Genetic Algorithm

Lujie Tang, Bing Tang, Linyao Kang, Li Zhang
2019 Future Internet  
In this paper, we adopt the fine-grained task migration model.  ...  Then, we consider the limitations of the edge cloud cache capacity to study the task caching strategy and fine-grained task migration strategy on the edge cloud using the genetic algorithm (GA).  ...  In [11] , Wang et al. proposed an energy-efficient and deadline-aware task offloading strategy based on the channel constraint, with the goal of minimizing the energy consumption of mobile devices while  ... 
doi:10.3390/fi11080181 fatcat:4k3xs3yr6bgyhck7rd4fz35kda

A Cost and Energy Efficient Task Scheduling Technique to Offload Microservices Based Applications in Mobile Cloud Computing

Abid Ali, Muhammad Munwar Iqbal
2022 IEEE Access  
We further propose Task Scheduling and Microservices based Computational Offloading (TSMCO) framework to solve the Task Scheduling in steps, such as Resource Matching, Task Sequencing, and Task Scheduling  ...  This study addresses these problems by proposing a Dynamic Decision-Based Task Scheduling Technique for Microservice-based Mobile Cloud Computing Applications (MSCMCC).  ...  In Mobile applications, we have independent and fine-grained sub-tasks. Fine-grained means that every task has its attributes and data, which runs independently and effectively utilizes the workload.  ... 
doi:10.1109/access.2022.3170918 fatcat:46sco6tytbf7pobmrgaq4cywsy

Mobility and Fault Aware Adaptive Task Offloading in Heterogeneous Mobile Cloud Environments

Abdullah Lakhan, Xiaoping Li
2019 EAI Endorsed Transactions on Mobile Communications and Applications  
However, the impact of dynamic changes in a mobile content (e.g., network status, bandwidth, latency, and location) for the task offloading model observes through proposing a mobility aware adaptive task  ...  Nowadays, Mobile Cloud Computing (MCC) has become a predominant prototype for fetching the benefits of cloud computing to mobile devices' propinquity.  ...  We modified the DHEFT algorithm for task scheduling between mobile and cloud computing in terms of time complexity.  ... 
doi:10.4108/eai.3-9-2019.159947 fatcat:w5w4kcxfejd2zecmwh4o3uoz2i

Dynamic Content Enabled Microservice for Business Applications in Distributed Cloudlet Cloud Network

2021 International Journal of Emerging Trends in Engineering Research  
The impact of dynamic changes in mobile content (e.g., network status, bandwidth, latency, and location) on the task offloading model is observed by proposing a mobility aware adaptive task offloading  ...  algorithm aware microservices, which makes a task offloading decision at runtime on selecting optimal wireless network channels and suitable offloading resources.  ...  Under task priority limitation and hard constraint deadline, we suggested a novel Mobility Aware Task Offloading Algorithm that minimises the workflow application's average response time and delays the  ... 
doi:10.30534/ijeter/2021/32972021 fatcat:fqypjlg5lrhv5cdzwvwji7fusq

2020 Index IEEE Transactions on Services Computing Vol. 13

2021 IEEE Transactions on Services Computing  
-Feb. 2020 114-129 Multiprocessing systems Security-Critical Energy-Aware Task Scheduling for Heterogeneous Real-Time MPSoCs in IoT.  ...  -Oct. 2020 915-929 Linear programming Security-Critical Energy-Aware Task Scheduling for Heterogeneous Real- Time MPSoCs in IoT.  ... 
doi:10.1109/tsc.2021.3055723 fatcat:eumbihmezvehxdfbmlp6ufzkwe

Iterative Dynamic Critical Path Scheduling: An Efficient Technique for Offloading Task Graphs in Mobile Edge Computing

Bo Xu, Yi Hu, Menglan Hu, Feng Liu, Kai Peng, Lan Liu
2022 Applied Sciences  
As a key enabler technique in edge computing, computation offloading migrates computation-intensive tasks from resource-limited devices to nearby devices, optimizing service latency and energy consumption  ...  In this paper, we investigate the problem of offloading task graphs in edge computing scenarios.  ...  [27] proposed a mobility-aware offloading algorithm for multiuser mobile edge computing.  ... 
doi:10.3390/app12063189 fatcat:bzwucaauqvevzgunhfkbs3jcay

Energy-efficient Static Task Scheduling on VFI-based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-physical Systems

Umair Ullah Tariq, Haider Ali, Lu Liu, John Panneerselvam, Xiaojun Zhai
2019 ACM Transactions on Intelligent Systems and Technology  
In this paper, we investigated energy-efficient and contention-aware static scheduling for tasks with precedence and deadline constraints on intelligent edge devices deploying heterogeneous VFI based NoC-MPSoCs  ...  VFI based MPSoC with fine-grained power management capability can seamlessly combine with task scheduling algorithm in order to optimize over all system's energy.  ...  Energy-efficient Static Task Scheduling on VFI based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-Physical Systems 11 4.0.1 Earliest edge consistent deadline first (EECDF ) algorithm.  ... 
doi:10.1145/3336121 fatcat:glasc3fowzb75iliz7qbapejz4

2020 Index IEEE Transactions on Parallel and Distributed Systems Vol. 31

2021 IEEE Transactions on Parallel and Distributed Systems  
., +, TPDS April 2019 855-869 Energy consumption Energy-Efficient Task Scheduling for CPU-Intensive Streaming Jobs on Hadoop.  ...  ., +, TPDS Nov. 2019 2384-2395 An Efficient Application Partitioning Algorithm in Mobile Environments.  ... 
doi:10.1109/tpds.2020.3033655 fatcat:cpeatdjlpzhqdersvsk5nmzjkm

Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges [article]

Neda Shalavi, Giovanni Perin, Andrea Zanella, Michele Rossi
2022 arXiv   pre-print
provisioning, and scheduling of computing tasks, including federated learning for distributed edge intelligence, toward making edge networks greener and more sustainable.  ...  In doing so, we highlight the energy aspects of these algorithms, advocating the need for energy-sustainable edge computing systems that are aligned with Sustainable Development Goals (SDGs) and the Paris  ...  The proposed scheme is model-free and learns computing policies in an online fashion, and achieves up to 96% accurate energy scheduling. Mobility Aware Schedulers Vehicular Edge Computing Networks.  ... 
arXiv:2209.14141v1 fatcat:r4wuoxztx5bm7k6z3s6q2pmuki

Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions

Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, Theo Lynn
2020 Future Internet  
as fog and edge computing.  ...  In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption  ...  ) Q2 14 22 Chimera: An Energy-Efficient and Deadline-Aware Hybrid Edge Computing Framework for Vehicular Crowdsensing Applications Pu et al. [59] IEEE Internet of Things Journal (IEEE) Q1 17 23 Towards  ... 
doi:10.3390/fi12060095 fatcat:3fus7a5arncc3p4xgljm5lxium

A Comparative Study of Code Offloading Techniques and Application Partitioning Methods in Mobile Cloud Computing

Amardeep Kaur, Kamaljit Kaur
2016 International Journal of Computer Applications  
Mobile cloud computing allows the execution of computation-intensive applications of mobile devices in computational clouds, and this process of executing in cloud by sending the application VM/Components  ...  Offloading is an effective method to save the execution time and energy consumption of mobile devices. Thus it extends the battery life of mobile devices.  ...  REFERENCES [1] Pranav Balakrishnan and Chen-Khong Tham. Energy-efficient mapping and scheduling of task interaction graphs for code offloading in mobile cloud computing.  ... 
doi:10.5120/ijca2016910410 fatcat:ug2lplpzwzc5xayoididcl2riq
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