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Dynamic Content Enabled Microservice for Business Applications in Distributed Cloudlet Cloud Network
2021
International Journal of Emerging Trends in Engineering Research
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These cloudlet cloud has emerged as a popular model for bringingthe benefits of cloud computing to the proximity of mobile devices. the microservices preliminary goal is to improve service availability ...
in overall response time with better service availability. ...
The cloud computing is an emerging paradigm which offers different services to run these applications with the economic cost and average cost range services for these applications [4] . ...
doi:10.30534/ijeter/2021/32972021
fatcat:fqypjlg5lrhv5cdzwvwji7fusq
QoS-Based Service-Time Scheduling in the IoT-Edge Cloud
2021
Sensors
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In this paper, we propose STaSA, a service time aware scheduler for the edge environment. ...
In edge computing, scheduling heterogeneous workloads with diverse resource requirements is challenging. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21175797
pmid:34502688
pmcid:PMC8434349
fatcat:hsbz5kcgsjcbfitxmwmrz3jzwe
Dynamic Task Scheduling Methods in Heterogeneous Systems: A Survey
2015
International Journal of Computer Applications
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The goal of scheduling is to utilize all the processors with minimum execution time by proper allocation of tasks to the processors. ...
This paper investigates different aspects in scheduling and issues in various levels of the heterogeneous systems. ...
Pre -process scheduling
approach
24
Scheduling in
Heterogeneous
Computing Environments
for Proximity Queries
To minimize the makespan
and proximity computation in
heterogeneous computing
systems ...
doi:10.5120/19318-0859
fatcat:qxnjvseeajcyfiyzdq4xxtonw4
Characterizing application scheduling on edge, fog, and cloud computing resources
2019
Software, Practice & Experience
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2019 pre-print arXiv:1904.10125v1 fatcat:uzw7cybjrrflpfxmbjok3t6gle
Scheduling applications on clouds has been an active area of research, with workflow and dataflow models serving as a flexible abstraction to specify applications for execution. ...
In this article, we present a taxonomy of concepts essential for specifying and solving the problem of scheduling applications on edge, for and cloud computing resources. ...
Scheduling Approach While there has been a lot of conceptual work on making use of edge, fog and cloud resources, there is a lack of literature on novel scheduling approaches that consider all the 3 layers ...
doi:10.1002/spe.2699
fatcat:ywvul6s2j5hgthectdnbh7mnbq
A Hybrid Metaheuristic for Multi-Objective Scientific Workflow Scheduling in a Cloud Environment
2018
Applied Sciences
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The aim of this study is to optimize multi-objective scheduling of scientific workflows in a cloud computing environment based on the proposed metaheuristic-based algorithm, Hybrid Bio-inspired Metaheuristic ...
Scheduling of scientific workflows in a distributed environment is a well-known NP-complete problem and therefore intractable with exact solutions. ...
Huifang Deng made substantial contributions to the design of the study and the analysis and interpretation of the data and critically reviewed the manuscript. ...
doi:10.3390/app8040538
fatcat:e7lhwfh32ze35evzwh4loclmse
2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32
2022
IEEE Transactions on Parallel and Distributed Systems
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., +, TPDS May 2021 1256-1269 A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments. ...
., +, TPDS April 2021 830-841 Quality of service A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments. ...
Graph coloring Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU. Zheng, Z., +, ...
doi:10.1109/tpds.2021.3107121
fatcat:e7bh2xssazdrjcpgn64mqh4hb4
Workflow Makespan Minimization for Partially Connected Edge Network: A Deep Reinforcement Learning-Based Approach
2022
IEEE Open Journal of the Communications Society
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In this paper, we address the challenge of workflow makespan minimization in a partially connected edge network. ...
With the fine-trained agent, the proposed scheme can coordinate the demand of computing resources and routing paths of interdependent tasks and provide a near-optimal makespan of the workflow. ...
[13] resort to scheduling the multiworkflow in a cloud environment with multiple QoS parameters. ...
doi:10.1109/ojcoms.2022.3158417
fatcat:5nv4ylxurrc2neqk4jmayza6ya
VNF and Container Placement: Recent Advances and Future Trends
[article]
2022
arXiv
pre-print
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In this context, the second part of our article focuses on the placement of containers in edge/fog computing. ...
, improves flexibility, and leads to efficient and scalable resource usage, and lower costs. ...
in an edge computing environment. ...
arXiv:2204.00178v1
fatcat:giwlibsaknbkdnuvkao6nhkdnq
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
[article]
2022
arXiv
pre-print
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We claim that to support the constantly growing requirements of intelligent applications in the device-edge-cloud computing continuum, resource orchestration needs to embrace edge AI and emphasize local ...
To justify the claim, we provide a general definition for continuum orchestration, and look at how current and emerging orchestration paradigms are suitable for the computing continuum. ...
In particular, dr. Víctor Casamayor Pujol (DSG) provided valuable feedback on the structure of the computing continuum, of which the authors are grateful. ...
arXiv:2205.01423v1
fatcat:ul24ibzts5eutoozdh4y3n5kgq
A Game-Theoretic Based QoS-Aware Capacity Management for Real-Time EdgeIoT Applications
2017
2017 IEEE International Conference on Software Quality, Reliability and Security (QRS)
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To solve this problem, a novel Software-defined network (SDN) based InterCloud architecture is presented for mobile edge computing environments, known as EdgeIoT. ...
An adaptive resource capacity management approach is proposed to employ a policy-based QoS control framework using principles in coalition games with externalities. ...
ACKNOWLEDGMENT The first Author hereby gratefully acknowledges the financial support by Tertiary Education Trust Fund (TETFUND) / Abubakar Tafawa Balewa University, Nigeria to pursue doctorate degree program ...
doi:10.1109/qrs.2017.48
dblp:conf/qrs/AliyuCHY17
fatcat:awhthwobp5gufbpsooeagdaozq
Edge Computing in IoT: A 6G Perspective
[article]
2022
arXiv
pre-print
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Due to the unprecedented increase in traffic volumes and computation demands of future networks, multi-access (or mobile) edge computing (MEC) is considered as a promising solution to provide cloud-computing ...
Edge computing is one of the key driving forces to enable Beyond 5G (B5G) and 6G networks. ...
While efficient scheduling of simultaneous jobs in the multi-edge environment can potentially solve the problem to a greater extent, the problem persists when only one or fewer edge servers are insufficient ...
arXiv:2111.08943v2
fatcat:3yxuy224inhohatwkdhjxonjwa
An energy- and cost-aware computation offloading method for workflow applications in mobile edge computing
2019
EURASIP Journal on Wireless Communications and Networking
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In this paper, we bring a thorough study on the energy consumption, time consumption, and cost of using the resource of cloudlet and cloud for workflow applications in mobile edge computing. ...
Mobile edge computing is becoming a promising computing architecture to overcome the resource limitation of mobile devices and bandwidth bottleneck of the core networks in mobile cloud computing. ...
Acknowledgements This work is supported by The Natural Science Foundation of Fujian Province ...
doi:10.1186/s13638-019-1526-x
fatcat:ybhgkdhp6reope6d62wtvx6y4u
Resource Scheduling in Edge Computing: A Survey
[article]
2021
arXiv
pre-print
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The resource scheduling in edge computing, which is the key to the success of edge computing systems, has attracted increasing research interests. ...
To shed light on the significance of resource scheduling in real-world scenarios, we discuss several typical application scenarios involved in the research of resource scheduling in edge computing. ...
Computation offloading The computation offloading is a very important research issue for resource scheduling in edge computing, which brings services to the proximity of data source [34] . ...
arXiv:2108.08059v1
fatcat:oo4lepcn3rhdfafefw5lkq2lia
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review
[article]
2022
arXiv
pre-print
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To the best of our knowledge, there are no existing reviews on AI-based resource allocation approaches in different computational paradigms. ...
With the advent of smart devices, the demand for various computational paradigms such as the Internet of Things, fog, and cloud computing has increased. ...
In a typical RL workflow (Figure 6 ), at every time step 𝑡, the agent observes the environmental state 𝑆 𝑡 from state space 𝑆. ...
arXiv:2203.12315v1
fatcat:43mouwxwene6xllnw3gsmdh6hy
Optimal virtual network function placement in multi-cloud service function chaining architecture
2017
Computer Communications
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2019 pre-print arXiv:1903.11550v1 fatcat:ajsvt3w6mzcu3cygvcpp277gue
We set up the problem of minimizing inter-cloud traffic and response time in a multi-cloud scenario as an ILP optimization problem, along with important constraints such as total deployment costs and service ...
This results in network ossification with larger delays to the end-users, especially with the data-centric model in which the computational resources are moving closer to end users. ...
The statements made herein are solely the responsibility of the authors. ...
doi:10.1016/j.comcom.2017.02.011
fatcat:3ncqphpw4vhelpyq4hga6yiwrq
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