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Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT

Zhiguo Qu, Yilin Wang, Le Sun, Dandan Peng, Zheng Li
2020 Complexity  
We do a comprehensive survey on QoS optimization and energy saving in cloud computing, fog computing, edge computing, and IoT environments.  ...  With an increase of service users' demands on high quality of services (QoS), more and more efficient service computing models are proposed.  ...  Due to the development of the IoT and the increasing needs of people, the IoT system based on cloud computing faces some limitations.  ... 
doi:10.1155/2020/8964165 fatcat:zch5fslf3jfe7o4ydck6zsycie

Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

Karan Bajaj, Bhisham Sharma, Raman Singh
2021 Complex & Intelligent Systems  
Some of the existing frameworks EMCO, MobiCOP-IoT, Autonomic Management Framework, CSOS, Fog Computing Framework, based on their novelty and optimum performance are taken for implementation analysis and  ...  Based on the study of drawn results and limitations of the existing frameworks, future directions under offloading scenarios are discussed.  ...  Acknowledgements This work has been carried out in wireless sensor network research facility in Computer Science and Engineering department of Chitkara University, India.  ... 
doi:10.1007/s40747-021-00434-6 fatcat:q7itavmy6vhjrouldk4qbuuecu

Towards Computation Offloading in Edge Computing: A Survey

Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, Jian Wan
2019 IEEE Access  
Moreover, resource scheduling approaches, gaming and tradeoffing among system performance and overheads for computation offloading decision making are also reviewed.  ...  In this paper a thorough literature review is conducted to reveal the state-of-the-art of computation offloading in edge computing.  ...  Moreover, resource allocation approaches, gaming theory and heuristics based computation offloading optimization of system performance and overheads for computation offloading decision making are also  ... 
doi:10.1109/access.2019.2938660 fatcat:qcpqojzxsnbsnmuez3x2ew4sqa

Smart Architectural Framework for Symmetrical Data Offloading in IoT

Malvinder Bali, Kamali Gupta, Deepika Koundal, Atef Zaguia, Shubham Mahajan, Amit Pandit
2021 Symmetry  
Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to  ...  Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym13101889 fatcat:kujwgvcm7ndzzbb2zwcwje6u7i

A Comprehensive Study of Caching Effects on Fog Computing Performance

Marwa Mahfodh Abdulqadir, Azar Abid Salih, Omar M. Ahmed, Dathar Abas Hasan, Lailan M. Haji, Sarkar Hasan Ahmed, Rowaida Khalil Ibrahim, Karzan H. Sharif, Hivi Ismat Dino
2021 Asian Journal of Research in Computer Science  
Fog Computing can be depended on as an excellent solution to overcome some related problems in cloud computing. Fog computing supports cloud computing to become nearer to the Internet of Things.  ...  Therefore, Fog computing can be the best solution for the Internet of things to present a practical and secure service for various clients.  ...  : Because of the combined input of system usage, job load data, location information, and mobility model, the VM scheduling needs to be wholly overhauled [80] .  ... 
doi:10.9734/ajrcos/2021/v10i430246 fatcat:fcf2vyeoabcv7kgoqas4cgtpfq

REVIEW ON COMPUTE AUGMENTATION TECHNIQUES IN MOBILE CLOUD COMPUTING

V. Suganya
2018 International Journal of Advanced Research in Computer Science  
Also, the adaptability of MALMOS to various network conditions and computing power on the remote resources is compared with the threshold and linear equation-based scheduling policies.  ...  ., [27] proposed offloading model offloads an application based execution pattern of its task.  ... 
doi:10.26483/ijarcs.v9i2.5767 fatcat:cn7s5h3i3vatbbjfq2z7gnuqky

Multi-level Resource Sharing Framework using Collaborative Fog Environment for Smart Cities

Tariq Qayyum, Zouheir Trabelsi, Asad Waqar Malik, Kadhim Hayawi
2021 IEEE Access  
The concept of using IoT devices as fog nodes has improved the performance of legacy fog based systems.  ...  The regional fog nodes are deployed at network edge locations which are used as an intelligent agent to handle the computation requests by either scheduling them on local servers, cloud data centers, or  ...  The tasks are allocated based on task deadlines. The evaluation section shows a significant gain in performance by adopting various IoT devices as a work force for the roadside units.  ... 
doi:10.1109/access.2021.3054420 fatcat:ykh2lbopmnfwlmtzq2aq42liky

Hierarchical Scheduling Mechanisms in Multi-Level Fog Computing

Maycon Peixoto, Thiago Genez, Luiz Fernando Bittencourt
2021 IEEE Transactions on Services Computing  
Based on this premise, this paper proposes a component-based service scheduler in a cloud-fog computing infrastructure comprising several layers of fog nodes between the edge and the cloud.  ...  Results suggest that the proposed component-based scheduling algorithm can reduce average delays for application services with stricter latency requirements while still reducing the total network usage  ...  Shah-Mansouri et al. studied in [9] the problem of resource allocation for IoT application in a hierarchical computing paradigm, including one layer of fog nodes and the remote computing services from  ... 
doi:10.1109/tsc.2021.3079110 fatcat:wik7mobx4ba5po4jmmr6kqlm7q

Comprehensive Analysis of Resource Allocation and Service Placement in Fog and Cloud Computing

A. S. Gowri, P.Shanthi Bala, Immanuel Zion
2021 International Journal of Advanced Computer Science and Applications  
The success of any computing architecture depends on how efficiently its resources are allocated to the service requests.  ...  Among the existing survey articles on Cloud and Fog, issues like scalability and time-critical requirements of the Internet of Things (IoT) are rarely focused on.  ...  Device driven task offloading Inefficient resource allocation consuming more energy Non-adaptability of scheduling algorithm to peak demands instantaneously Power conservation and reduction of VM placement  ... 
doi:10.14569/ijacsa.2021.0120308 fatcat:mmftlutfa5dstphhsaxfvvu6ti

Current trends in cloud computing

Siraj Munir, Computer Science Department, Muhammad Ali Jinnah University
2020 Indian Journal of Science and Technology  
Our initial findings lead our reviews to five major areas of Cloud Computing including Load balancing, resource scheduling, resource allocation, resource sharing, and job scheduling.  ...  Method: The reviewed works are filtered after the rigorous process by using renowned indexing database of ACM and IEEE along with the subject based journals on Cloud Computing of international repute.  ...  In literature (20) presented a survey on challenges of IoT and cloud computing in contrast to security. Authors also highlighted the significance of cloud computing for IoT based systems.  ... 
doi:10.17485/ijst/v13i24.358 fatcat:mzlwkmkjw5c3lahyvvvdiaqy6i

A Comparative Study of Various Machine Learning Algorithms in Fog Computing

2021 International Journal of Advanced Trends in Computer Science and Engineering  
One of these challenging questions is the Network layer implementation of IoT. Cloud offers one perspective solution. Cloud services face the down side of connectivity and latency.  ...  Fog computing, as a complementing technology for Cloud answers the issues of latency and connectivity in the Cloud. Being novel idea in itself, Fog computing offers promising future growth.  ...  CPU Job Scheduling Efficient scheduling of the jobs that need to be catered by the Fog environment is a research question.  ... 
doi:10.30534/ijatcse/2021/155032021 fatcat:qwyp4mecobantjdsol5uwfii2i

IoT Provisioning QoS based on Cloud and Fog Computing

Fady Esmat Fathel Samann, Subhi R. M. Zeebaree, Shavan Askar
2021 Journal of Applied Science and Technology Trends  
This paper presents a literature review on QoS techniques developed in academia for IoT applications and investigates current research trends.  ...  of IoT devices.  ...  The principle here is that the different computing tasks of IoT devices are offloaded to the FN. Then the FN schedules these tasks to be processed on several VMs.  ... 
doi:10.38094/jastt20190 fatcat:bmmiplbd4zgzpe3kmzurd5kv4a

Real-Time Information Derivation from Big Sensor Data via Edge Computing

Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang, Mo Sha
2017 Big Data and Cognitive Computing  
In this paper, we propose an overarching framework for soft real-time sensor data analytics at the network edge that consists of (1) adaptive sensor data transfer from IoT devices to the edge server based  ...  Comput. 2017, 1, 5 2 of 24 between IoT devices and cloud [2, 3] .  ...  Liehuo Chen, Hyungdae Yi, and Bin Wang finalized the algorithms, implemented the prototype, and did the experiments for performance evaluation.  ... 
doi:10.3390/bdcc1010005 fatcat:k72d3abpgfg57eiuhfddwmpieu

A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

Bo Wang, Changhai Wang, Wanwei Huang, Ying Song, Xiaoyun Qin
2020 IEEE Access  
Even though there is existing research focusing on the task offloading in edge-cloud computing, a lot of problems should be solved before the application of these offloading technologies.  ...  Edge-cloud computing, combining the benefits of both edge computing and cloud computing, is one of the most promising ways to address the resource insufficiency of smart devices.  ...  [44] present an adaptive approach based on the idea of rule-based learning and case-based reasoning for improving the processing time of tasks in a fog-cloud environment.  ... 
doi:10.1109/access.2020.3029649 fatcat:jvjhfke56bd3dmuqwiygl2uxo4

The Internet of Things, Fog and Cloud continuum: Integration and challenges

Luiz Bittencourt, Roger Immich, Rizos Sakellariou, Nelson Fonseca, Edmundo Madeira, Marilia Curado, Leandro Villas, Luiz DaSilva, Craig Lee, Omer Rana
2018 Internet of Things  
The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade.  ...  Fog computing has been developed to lie between IoT and the cloud, providing a hierarchy of computing power that can collect, aggregate, and process data from/to IoT devices.  ...  Acknowledgements The authors would like to thank the following agencies for partially supporting this research: the European Commission H2020 programme under grant agreement no. 688941 (FUTEBOL), as well  ... 
doi:10.1016/j.iot.2018.09.005 fatcat:i2dkujrxrnehpdlogypowagthe
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