Scalable Key Parameter Yield of Resources Model for Performance Enhancement in Mobile Cloud Computing

Kumar, Rakesh; Yadav, Santosh Kumar

doi:10.1007/s11277-017-4035-4

Cited by 10 publications

(11 citation statements)

References 32 publications

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“…However, in the case of a missed cache or uncacheable contents, such methods are not feasible. The most effective technique for reducing latency involves the placement of applications and services in the vicinity of users using cloudlets [63].…”

Section: A Lr In Cloudletsmentioning

confidence: 99%

Cloudlet Computing: Recent Advances, Taxonomy, and Challenges

et al. 2021

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A cloudlet is an emerging computing paradigm that is designed to meet the requirements and expectations of the Internet of things (IoT) and tackle the conventional limitations of a cloud (e.g., high latency). The idea is to bring computing resources (i.e., storage and processing) to the edge of a network. This article presents a taxonomy of cloudlet applications, outlines cloudlet utilities, and describes recent advances, challenges, and future research directions. Based on the literature, a unique taxonomy of cloudlet applications is designed. Moreover, a cloudlet computation offloading application for augmenting resourceconstrained IoT devices, handling compute-intensive tasks, and minimizing the energy consumption of related devices is explored. This study also highlights the viability of cloudlets to support smart systems and applications, such as augmented reality, virtual reality, and applications that require high-quality service. Finally, the role of cloudlets in emergency situations, hostile conditions, and in the technological integration of future applications and services is elaborated in detail. INDEX TERMS Cloud computing, Edge computing, Cloudlets, Internet of things, Computation offloading, Smart city, Smart health.

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Section: A Lr In Cloudletsmentioning

confidence: 99%

Cloudlet Computing: Recent Advances, Taxonomy, and Challenges

et al. 2021

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“…The FMCC framework can be used for NaaS, DaaS, and SaaS. Kumar & Yadav, (2017), identified loopholes in FMCC. First of all, the latter lacked a crucial mechanism that was paramount in judging the performance of a system.…”

Section: Framework For Mobile Cloudlet-based Computingmentioning

confidence: 99%

A mobile cloud computing framework for execution of data as a service using cloudlet

Yadav

Kumar

2021

KJS publishes peer-review articles in Mathematics, Computer Sci

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The mobile device has become an essential utility tool for more effective computation, storage, and power, making it suitable for mobile cloud computing. The cloudlet is used as a connectivity establishment link between the mobile device and the cloud. The objective of this paper is to focus on mobile cloud computing facilitated with cloudlet-based computation. The latter possesses inter-cloudlet communication, which had been proposed within the mobile cloudletbased computing environment framework. The same had been further enhanced to scalable critical parameter yield of resources framework. Nevertheless, this was not taken to the criteria, which would impact the yield factor, in terms of availability. The present research endeavor aims to improve the algorithm by considering some more criterion and provides a new mobile cloud computing framework for data execution as a service using cloudlet. The outcome shows a positive result in the cloud- cloudlet based computation.

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“…There are not many studies that specifically mention "caaS" model. However, [9] proposed a Cloud-based framework which uses cloudlets as service providers. In this framework, the main application runs on mobile devices.…”

Section: B Edge Of Smart City Network As a Servicementioning

confidence: 99%

A Novel Edge-to-Cloud-as-a-Service (E2CaaS) Model for Building Software Services in Smart Cities

Robberechts

Sinaeepourfard

Goethals

et al. 2020

2020 21st IEEE International Conference on Mobile Data Management (MDM)

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The main goal of a smart city is to enhance the quality of life of its inhabitants by providing services using Information and Communications Technology (ICT) components in a city. ICT components include not only Internet of Things (IoT) data sources spread across the city, but also traditional non-IoT data sources. Managing all ICT components in a smart city can be challenging and results in many complexities. Consequently, there is a need for ICT management architectures. Traditional solutions are often based on a centralized ICT architecture using Cloud technologies. Recently, the number of ICT components, services, and their corresponding complexities are growing, leading to large-scale ICT architectures. Centralized Cloud solutions cannot cope with the ever-expanding demands of this kind of architectures. The limitations of the centralized approaches necessitate the design of a new ICT architecture, using distributed technologies, for every layer and element of the city. Many solutions for management from Edge-to-Cloud (E2C) through distributed technologies are forthcoming, including Decentralized-to-Centralized ICT (DC2C-ICT) and Distributed-to-Centralized ICT (D2C-ICT) architectures. The DC2C-ICT architecture and its components work on their own tasks and are solely communicating with a centralized platform. On the other hand, components of the D2C-ICT architecture can work together to provide the services for the citizens across different layers from E2C. Therefore, the D2C-ICT architecture is less dependent on the central Cloud-based entity, but harder to design and manage. In this paper, an "Edge-to-Cloud-as-a-Service (E2CaaS)" model is proposed together with a model on how to build efficient software services in smart cities through different layers of E2C. The most important tasks for building these services are the management of "Data/Database," "Resources," and "Network Communication and Cybersecurity issues."

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Scalable Key Parameter Yield of Resources Model for Performance Enhancement in Mobile Cloud Computing

Cited by 10 publications

References 32 publications

Cloudlet Computing: Recent Advances, Taxonomy, and Challenges

Cloudlet Computing: Recent Advances, Taxonomy, and Challenges

A mobile cloud computing framework for execution of data as a service using cloudlet

A Novel Edge-to-Cloud-as-a-Service (E2CaaS) Model for Building Software Services in Smart Cities

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