Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing

By Keke Gai, Meikang Qiu, Hui Zhao, Lixin Tao, Ziliang Zong. Journal of Network and Computer Applications, 2016

482 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/c55fb95353536f81e76d266a4f52f90f88eb2bb4

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In Computer Networks and Communications

Citations in the corpus

Distributed data stream processing and edge computing: A survey on resource elasticity and future directions (2017, background): “Task scheduling considering hybrid scenarios has been investigated in other domains, such as mobile clouds [115] and heterogeneous memory [116].”
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, unknown): “Previous work such as micro data center, [19], [20], mobile cloud computing [13], [14], fog computing [15], [16], cloudlet [21], and cloud-sea computing [22] have been introduced to reduce the storage and computation load in cloud computing.”
Next generation cloud computing: New trends and research directions (2017, methodology): “The aim of a cloudlet is similar to a microcloud in extending cloud infrastructure towards the edge of the network [18,19], but is used in literature in the context of mobile computing.”
Recent advances in bio-based carbon materials for anaerobic digestion: A review (2021, unknown): “The produced acids catalyze inorganic elements that are released from the biomass [87].”
Blockchain Meets Cloud Computing: A Survey (2020, background): “Typically, cloud resource allocation addresses two goals, which are maximizing energy utilization and optimizing computation efﬁciency [129], [130].”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “MCC is an extension of traditional cloud that covers the offloading process for the mobile devices by combining mobile computing, mobile Internet and cloud computing into a joint system [69].”
Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning (2018, background): “In contrast to cloud/fog computing [3], [4], mobile-edge computing (MEC) is envisioned as a promising paradigm, which provides computing capabilities within the radio access networks (RANs) in close proximity to mobile users (MUs) [5], [6].”
Challenges and Opportunities in Edge Computing (2016, background): “Hence, there has been a need for looking ‘beyond the clouds’ towards the edge of the network as shown in Figure 1, referred to as edge computing [3], [4], but also known as fog computing [5], [6] or cloudlet computing [7], [8].”