A Review on Mobile Cloud Computing and Issues in it

Hakak, Saqib; Latif, Suhaimi Abd; Amin, Gulshan

doi:10.5120/13152-0760

Cited by 16 publications

(12 citation statements)

References 1 publication

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“…The development of the mobile cloud computing (MCC) paradigm has changed the existing technology widely from physical to virtualized network infrastructure [81][82][83][84][85]. MCC is demarcated as a platform on which data processing and storage are implemented in the mobile clouds, instead of handling on smart mobile edge devices [86]. Users subscribe to the services from the mobile cloud by offloading the high computational intensive applications to mobile clouds for processing and the required data or information is extracted and send back to the smart mobile device (SMD).…”

Section: ) Mobile Cloud Computingmentioning

confidence: 99%

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

2020

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Section: ) Mobile Cloud Computingmentioning

confidence: 99%

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

2020

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“…A number of use cases and opportunities are possible by mobile cloud computing. In [10] and [8], the use cases are categorized into image and natural language processing, sharing GPS and Internet access, applications using sensor data, querying, crowd computing and multimedia search. A similar concept called mobile edge computing is also having more attention recently.…”

Section: Related Workmentioning

confidence: 99%

Offloading for Mobile Device Performance Improvement

Temesgene¹,

Porras²,

Parkkila³

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Mobile devices are increasingly becoming part of everyday life. These include smart phones, tablets, wearable devices etc. Due to their mobility aspect, they are always constrained in their size and weight, which limits their resource capacity, e.g. processing power, and battery life. One possible solution for augmentation of such resource-constrained devices is through efficient usage of their surrounding resources, i.e. using some offloading technique. This paper studies how offloading of tasks to the surrounding resources affects on both the performance of task execution as well as the battery life of the mobile device. Two mobile phones and two tablets (from two different manufacturers) are studied in the experiments to find out the impact of the device characteristics. Two computationally demanding tasks, namely image processing and encryption/decryption, are used in these experiments. These results are compared to our earlier results on mobile devices of previous generations. We assumed that the increased computing power of new devices would make offloading obsolete. Our results show gains both in energy saving and in computational performance with these mobile devices. The comparison to our earlier results show that the performance increase of newer mobile device generations has not diminished the benefits of offloading. These results are in line with results presented in literature and they show that the offloading could offer a viable approach for resource augmentation of mobile devices towards edge/fog resources emphasized by the new 5G technology.

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“…The Cloud is composed of five characteristics, three service models, and four different deployment models [ 17 ]. Cloud Computing offers key services such as infrastructure as a service (IAAS), platform as a service (PAAS), and software as a service (SAAS) [ 18 ]. The four deployment models are private Cloud, Community Cloud, Public Cloud, and hybrid Cloud [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Kalyani

Collier

2021

Sensors

104

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Cloud Computing is a well-established paradigm for building service-centric systems. However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations in Cloud Computing when analysing and providing results for a large amount of data. Fog and Edge Computing offer solutions to the limitations of Cloud Computing. The number of agricultural domain applications that use the combination of Cloud, Fog, and Edge is increasing in the last few decades. This article aims to provide a systematic literature review of current works that have been done in Cloud, Fog, and Edge Computing applications in the smart agriculture domain between 2015 and up-to-date. The key objective of this review is to identify all relevant research on new computing paradigms with smart agriculture and propose a new architecture model with the combinations of Cloud–Fog–Edge. Furthermore, it also analyses and examines the agricultural application domains, research approaches, and the application of used combinations. Moreover, this survey discusses the components used in the architecture models and briefly explores the communication protocols used to interact from one layer to another. Finally, the challenges of smart agriculture and future research directions are briefly pointed out in this article.

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A Review on Mobile Cloud Computing and Issues in it

Cited by 16 publications

References 1 publication

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

Offloading for Mobile Device Performance Improvement

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

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