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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  
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  ...  This study introduces Mob-Cloud, a mobility aware adaptiveoffloading system that incorporates a mobile device as a thick client, ad-hoc networking, cloudlet DC, and remote cloud to improve the performance  ...  Nonetheless, the proposed microservice cloud in this study is not limited to mobile devices; rather, it focuses on mobile devices as IoT devices that offload compute-intensive tasks to the cloud for processing  ... 
doi:10.30534/ijeter/2021/32972021 fatcat:fqypjlg5lrhv5cdzwvwji7fusq

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  
This study addresses these problems by proposing a Dynamic Decision-Based Task Scheduling Technique for Microservice-based Mobile Cloud Computing Applications (MSCMCC).  ...  INDEX TERMS Cloud computing, mobile cloud computing, task offloading, task sequencing, task scheduling, microservices.  ...  A. PROBLEM DESCRIPTION We study task offloading in mobile cloud computing [46] , but task scheduling is an issue when mobile applications are designed through microservices containers architecture.  ... 
doi:10.1109/access.2022.3170918 fatcat:46sco6tytbf7pobmrgaq4cywsy

IoT service slicing and task offloading for edge computing [article]

JaeYoung Hwang, Lionel Nkenyereye, NakMyoung Sung, JaeHo Kim, JaeSeung Song
2020 arXiv   pre-print
In this article, we introduce a novel architectural framework that enables the virtualization of an IoT platform with minimum functions to support specific IoT services and host the instance in an edge  ...  The results show that the proposed architecture provides two times faster transmission time than that from the conventional cloud-based IoT platform.  ...  Therefore, in order to support IoT service slicing and offloading at the edge nodes, a microservice architecture should be considered from the beginning as a main design feature to be implemented.  ... 
arXiv:2008.10210v1 fatcat:e22ufkmfefexnbcple55tinwfq

A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers

Salman Taherizadeh, Vlado Stankovski, Marko Grobelnik
2018 Sensors  
All necessary Microservices are implemented as Docker containers, and their orchestration is performed from the Edge computing nodes up to Fog and Cloud servers in the geographic vicinity of moving IoT  ...  Compared to using a fixed centralized Cloud provider, the service response time provided by our proposed capillary computing architecture was almost four times faster according to the 99th percentile value  ...  For example, if a Fog node is overloaded due to a drastic increase in the workload, mobility of Microservices from the Fog node to the Cloud also needs to be considered during the execution time.  ... 
doi:10.3390/s18092938 pmid:30181454 pmcid:PMC6164252 fatcat:sxbe6joagnejjpywboukcy7dwy

Guest Editorial Special Issue on Edge-Cloud Interplay Based on SDN and NFV for Next-Generation IoT Applications

Sahil Garg, Song Guo, Vincenzo Piuri, Kim-Kwang Raymond Choo, Balasubramanian Raman
2020 IEEE Internet of Things Journal  
In "Waiting time minimized charging and discharging strategy based on mobile edge computing supported by software-defined network," the authors proposed a mobileedge-computing-enabled charging and discharging  ...  In "Two-stage offloading optimization for energy-latency tradeoff with mobile edge computing in maritime Internet of Things," the authors presented a joint optimal offloading strategy for large-scale maritime  ... 
doi:10.1109/jiot.2020.2999798 fatcat:sbfruvc4djh7haw3scb4u2jxku

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

Xuehua Zhao, Changcheng Huang
2020 IEEE Access  
We propose a new Microservice container fog system (MSCFS) based framework to run the mobility and delay-sensitive applications with minimum cost.  ...  Generally, contemporary cloud frameworks offer services based on virtual machines.  ...  PROPOSED MICROSERVICES FOG-CLOUD ARCHITECTURE The proposed microservices container-based fog system (MSCFS) consists of a client application layer, the control layer, and the resource layer, as shown in  ... 
doi:10.1109/access.2020.2981860 fatcat:lqsxlumkzjbepbnwjnfp7ub27i

Guest Editorial Special Issue on Emerging Trends and Challenges in Fog Computing for IoT

Constandinos X. Mavromoustakis, Mithun Mukherjee, George Mastorakis, Houbing Song, Maria Gorlatova, Mohammad Aazam
2020 IEEE Internet of Things Journal  
/KISATS approved/accredited) in electronic and computer engineering from the Technical University of Crete, Crete, Greece, the M.Sc. degree in telecommunications from the University College of London,  ...  ., in "Process migration-based computational offloading framework for IoT-supported mobile edge/cloud computing," propose a process migration-based computational offloading framework for IoT supported  ...  mobile-edge/cloud computing by implementing a lightweight process migrationbased computational offloading framework.  ... 
doi:10.1109/jiot.2020.2982520 fatcat:ifdsxh7jkff3dinv2wje6dboci

Enabling Wireless Communications and Networking Technologies of Edge Computing

Ejaz Ahmed, Muhammad Imran, Albert Y. Zomaya, Ammar Rayes, Joel J. P. C. Rodrigues, Wael Guibene
2018 IEEE Communications Magazine  
Ren et al. design an energy-efficient device-to-device (D2D) mobile edge computing (MEC) network architecture for offloading the computation and network traffic.  ...  The architecture supports multiple access and cooperative relaying methods for mobile users.  ...  Ren et al. design an energy-efficient device-to-device (D2D) mobile edge computing (MEC) network architecture for offloading the computation and network traffic.  ... 
doi:10.1109/mcom.2018.8466362 fatcat:xmqut7gdtbgrpjbzxcruxcb2cq

Multi-access Edge Computing: A Survey

Hiroyuki Tanaka, Masahiro Yoshida, Koya Mori, Noriyuki Takahashi
2018 Journal of Information Processing  
To pull out the most of the potential, MEC has to be designed as infrastructure, to support many kind of IoT applications and their eco system, in addition to sufficiently management mechanism.  ...  Multi-access Edge Computing (MEC) can be defined as a model for enabling business oriented, cloud computing platform within multiple types of the access network (e.g., LTE, 5G, WiFi, FTTH, etc.) at the  ...  [32] present evaluation of computation offloading from mobile device to an edge server.  ... 
doi:10.2197/ipsjjip.26.87 fatcat:m3yspkmbbzhmrh2wkponndfotu

Osmotic Computing: A New Paradigm for Edge/Cloud Integration

Massimo Villari, Maria Fazio, Schahram Dustdar, Omer Rana, Rajiv Ranjan
2016 IEEE Cloud Computing  
Our approach suggests the need to combine "mobile offloading" with "data centre offloading" i.e., we off-load computation initially carried out within a datacenter to a mobile device.  ...  The related approach [24] of "mobile offloading" is centered on the need to off-load complex and long running tasks from mobile devices to Cloud-based datacenters.  ... 
doi:10.1109/mcc.2016.124 fatcat:zihsxpws7jd63ktyxbvwh2s4xe

Enhanced Service Framework based on Microservice Management and Client Support Provider for Efficient User Experiment in Edge Computing Environment

Rongxu Xu, Wenquan Jin, DoHyeun Kim
2021 IEEE Access  
In this paper, we propose an enhanced service framework based on microservice management and client support provider for efficient user experiments in the edge computing environment.  ...  For providing the edge computing service and management in the network edge, this paper presents an edge-computing architecture that provides various functions through microservice modules on the edge  ...  [42] proposed intelligent edge computing through training the model in the cloud and offloading it to the edge based on the Docker that enables the prediction model to be operated in the edge platform  ... 
doi:10.1109/access.2021.3102595 fatcat:jd4yai3klven5m5ge5fgjb5ygy

Cloud Deployment Tradeoffs for the Analysis of Spatially-Distributed Systems of Internet-of-Things [article]

Christos Tsigkanos, Martin Garriga, Luciano Baresi, Carlo Ghezzi
2020 arXiv   pre-print
To this end, we instantiate spatial verification processes, integrating them to the service layer of an IoT-cloud architecture based on microservices.  ...  This computationally-intensive runtime assurance method cannot be supported by resource-constrained devices that populate the space and must be offloaded to the cloud.  ...  Service-based IoT Spatial Analysis in the Cloud Given the limitations to perform computation in the devices themselves, offloading and deploying such computation to the cloud is a viable option [39; 57  ... 
arXiv:2004.11428v1 fatcat:u5ry4enuqnfkpj27vrpkjcf53a

Multi-tenant mobile offloading systems for real-time computer vision applications

Zhou Fang, Jeng-Hau Lin, Mani B. Srivastava, Rajesh K. Gupta
2019 Proceedings of the 20th International Conference on Distributed Computing and Networking - ICDCN '19  
Comparing microservices deployed in the cloud and the cloudlet architectures.  ...  To address the above issues, we Comparing microservices deployed in the cloud and the cloudlet architectures.  ...  Appendix A Programming Customized Microservices in DeepQuery DeepQuery provides Python APIs to deploy customized computer vision algorithms or DNN models as microservices.  ... 
doi:10.1145/3288599.3288634 dblp:conf/icdcn/FangLS019 fatcat:qpib2wkm7jdnfg7k64eh3hwje4

Con-Pi: A Distributed Container-based Edge and Fog Computing Framework for Raspberry Pis [article]

Redowan Mahmud, Adel N. Toosi
2021 arXiv   pre-print
To address these issues, a framework, named Con-Pi is proposed in this work.  ...  Edge and Fog computing paradigms overcome the limitations of Cloud-centric execution for different latency-sensitive Internet of Things (IoT) applications by offering computing resources closer to the  ...  Viola for helping us to prepare the animal ethics application. This project was supported by AgTech Priming Grant Program funded by Monash University in collaboration with Bosch.  ... 
arXiv:2101.03533v1 fatcat:hz44mmmpmrfsbpxhzlltvgnxzu

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

2018 IEEE Access  
To address this issue, Fog computing, which resides in between cloud and IoT devices, was proposed. In general, in the Fog computing environment, IoT devices are connected to Fog devices.  ...  We also discuss existing research works and gaps in resource allocation and scheduling, fault tolerance, simulation tools, and Fog-based microservices.  ...  ACKNOWLEDGEMENT The authors would like to sincerely thank Professor Rajkumar Buyya for his insightful comments and discussion on improving the overall quality of the paper.  ... 
doi:10.1109/access.2018.2866491 fatcat:eohm7vdbpvdazkv7afmwml6eui
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