A survey of mobile cloud computing: architecture, applications, and approaches

By Dinh Thai Hoang, Chonho Lee, Dusist Niyato, Ping Wang. Wireless Communications and Mobile Computing, 2013

2,534 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/6da3d71dc601fd9cd6b4e84bc947de5474c5873b

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In Computer Networks and Communications

Citations in the corpus

All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “This combination resulted in mobile cloud computing (MCC), which is defined as an infrastructure where both the data storage and data processing occur outside of the mobile device, bringing mobile computing applications to not just smartphone users but a much broader range of mobile subscribers [30]”
A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing (2013, neutral): “[25]- [26].”
Security and Privacy Issues of Fog Computing: A Survey (2015, background): “We prefer not to discuss the cloud computing or mobile cloud computing, and readers can refer to extensive existing surveys if interested [47, 8].”
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019, methodology): “In recent years, a few Edge Computing architectures have been presented, such as Cloudlet [234], Edge Computing [235], Fog Computing [236], Mobile Cloud Computing (MCC) [237], Mist Computing [238] and MobileEdge Computing (MEC) [239].”
A Survey of Fog Computing: Concepts, Applications and Issues (2015, background): “Mobile cloud applications move the computing power and data storage from mobile phones to the cloud, providing applications and mobile computing to not only smartphone users but also a much broader range of mobile subscriber [9].”
A Survey of Mobile Cloud Computing Application Models (2014, background): “In [27] and [28], the authors discuss generic issues of a mobile cloud.”
QoE and power efficiency tradeoff for fog computing networks with fog node cooperation (2017, background): “They can be resource-limited routers, gateways, and access points, and can also correspond to mobile devices with excessive computing resources that can be utilized to offer services for others [2].”
Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog (2019, methodology): “MCC was originally conceived with the idea of moving data storage and data processing from inside mobile devices to the Cloud, bringing mobile applications to a wider range of users and not only to the ones with a powerful smartphone [40].”
Mobile Edge Computing: A Survey on Architecture and Computation Offloading (2017, background): “This motivates development of mobile cloud computing (MCC) concept allowing cloud computing for mobile users [1].”
On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration (2017, neutral): “[20], augmenting in this way the resource capabilities of mobile devices.”
Software Defined Optical Networks (SDONs): A Comprehensive Survey (2015, background): “Also, the exploration of the benefits of FiWi networks for decentralized cloudlets [356]–[359] that support mobile wireless network services is an important future research direction [360].”
A survey on mobile edge computing (2016, background): “However, due to resource constraints of mobile devices (processing power, battery lifetime, storage capacity) mobile users do not get the same satisfaction compare to desktop [2].”
A Survey of Wearable Devices and Challenges (2017, methodology): “2) Cloud Offloading: As opposed to these hardware-based approaches, the software-based approach to achieve energy efficiency in wearable computing is to offload energy and time consuming computations to a remote server, such as the Cloud [257]–[259].”
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications (2017, background): “The authors in [10] list the technical challenges that MCC faces in detail.”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “Cloudlets are considered as an enabling technology of MCC and it is proposed for overcoming the problems caused by accessing to the cloud data centers such as latency and cost.”
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, background): “Yet it might be possible to look for the solution methods in other related fields, such as mobile cloud computing (MCC) [25], [98], fog computing [99], [100], and peer-to-peer computing [101].”
Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing (2018, background): “Conventionally, mobile cloud computing (MCC) has been widely adopted to enhance wireless devices’ computation capabilities, by moving their computing and data storage to the remote centralized cloud [4].”