Mobile Cloud Computing: Layered Architecture

Aliyu, Ahmed; Tayyab, Muhammad; Abdullah, Abdul Hanan; Joda, Usman Mohammed; Kaiwartya, Omprakash

doi:10.1109/ict-ispc.2018.8523997

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…Layers of the MCC Architecture: MCC architecture includes ive main layers: the application layer, the perception layer, the network infrastructure layer, the Internet communication layer, and the computation layer [13].…”

Section: Overview Of Mobile Cloud Computing Architecturementioning

confidence: 99%

Seamless communication techniques in mobile cloud computing: A survey

Constant¹,

Lee²,

Suo³

et al. 2021

ITU-J FET

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Achieving seamless communication and smooth service provision between the cloud and end user's mobile device is one of the main challenges existing in mobile cloud environments. Mobile Cloud Computing (MCC) allows cloud environments to mitigate resource limitation problems for mobile devices. The most popular mobile devices such as smartphones, autonomous vehicles, drones, and other smart electronic equipment are in constant motion and frequently change their point of connection (base station or edge) to mobile computing networks. In these situations of mobility, the data being transmitted, and the services being provided to the device should not be interrupted as the proper function of the device depends on these services. Applications that rely heavily on data and services stored in the cloud environment should be available even when the device has moved from one pole to another. Various existing generic surveys emphasize important solutions to some of the challenges faced in MCC. Different solutions were proposed to achieve seamless communication in MCC, presenting the taxonomy of the interworking and mobility techniques and their possibilities. However, they have not provided a clear evaluation of MCC techniques for achieving seamless communication and service provision, and have not taken into consideration current technological advances such as 5G, femtocell, etc. In this paper, we provide a survey of the different solutions proposed to achieve seamless communication in MCC by taking current technological advances into account. Furthermore, some shortcomings associated with the presented methods are outlined, along with the current issues and research challenges faced in MCC. However, for the purposes of data protection and security, previously proposed schemes already achieve the goal of protecting users' attribute privacy and they have the same access policy; some can even achieve full security, but they are just limited in decryption efficiency.

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Section: Overview Of Mobile Cloud Computing Architecturementioning

confidence: 99%

Seamless communication techniques in mobile cloud computing: A survey

Constant¹,

Lee²,

Suo³

et al. 2021

ITU-J FET

View full text Add to dashboard Cite

show abstract

“…The MCC system can be divided into five layers: application, perception, network infrastructure, communication, and computing [11]. We introduce the related work in two parts in the following section.…”

Section: Related Workmentioning

confidence: 99%

Cooperative scheduling of multi‐core and cloud resources: multi‐thread‐based MCC offloading strategy

et al. 2019

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“…Data dissemination was one of most critical issues for vehicular traffic environments [28]. These real-time data applications required complex computations and brought challenges in implementing applications for vehicle devices [29,30]. Recently, many researches adopted clod computing to address these challenges for vehicle devices.…”

Section: Related Workmentioning

confidence: 99%

Analysis and Design of Functional Device for Vehicular Cloud Computing

Sha

Wang

et al. 2019

Electronics

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Relay technology application becomes prevalent nowadays, as it can effectively extend the communication distance, especially for vehicular networks with a limited communication range. Combined with vehicular cloud (VC), transmission efficiency can be improved by offloading partial data. Hence, designing a vehicle relay algorithm and implementation embedded vehicle device is critical. In this paper, VC is considered to deal with the complexity computation in our proposed system model. Without a loss of generality, an end-to-end vehicle communication with one assisted vehicle is analyzed firstly on a transmission link based on VC. Here, the signal-to-noise ratio (SNR) on the receiving end and link outage probability is obtained to enhance the link reliability. The VC computing helps us further simplify computational complexity. Subsequently, an embedded vehicle-enabled device is designed to achieve the optimal path relay selection in realistic vehicular environments. In the functional device framework, we display an optimal path relay selection algorithm according to the link quality. Finally, the performance of the transmission link on the outage probability related with SNR is verified in the simulation results. Meanwhile, the effect of the relay gain is also analyzed. The application of a vehicle-enabled embedded device could improve the performance of vehicular networks.

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Mobile Cloud Computing: Layered Architecture

Cited by 7 publications

References 22 publications

Seamless communication techniques in mobile cloud computing: A survey

Seamless communication techniques in mobile cloud computing: A survey

Cooperative scheduling of multi‐core and cloud resources: multi‐thread‐based MCC offloading strategy

Analysis and Design of Functional Device for Vehicular Cloud Computing

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