The Case for VM-Based Cloudlets in Mobile Computing
By Mahadev Satyanarayanan, Paramvir Victor Bahl, Ramón Cáceres, Nigel Davies. IEEE pervasive computing, 2009
2,034 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/6b42da07552dd40974f793f8da1ca6521f1e49e8
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In Computer Networks and Communications
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Citations in the corpus
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “llenging due to the extreme burden on bandwidth constraints and the network congestion. One of the very first edge computing concepts, so-called cloudlet, was proposed by Satyanarayanan et al. in 2009 [9]. The authors defined a cloudlet as a trusted and resourcerich computer or a cluster of computers ”
- Energy Efficiency of Mobile Clients in Cloud Computing (2010, background): “Virtual machine technology for mobile cloud computing is studied in [9].”
- Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “3) MCC refers to a cloudlet which is a microdata center consisting of several multicore computers and which provides computation resources to nearby mobile devices [55].”
- A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing (2013, methodology): “VM based cloudlets framework [7] differs from cyber foraging [30] by migrating image of the running application to the explicitly designated remote server.”
- To offload or not to offload? The bandwidth and energy costs of mobile cloud computing (2013, background): “Other works describe frameworks that enable offloading for applications in general, as long as the application builder correctly identifies and tags either code binary or methods as “off-loadable” [14], [3], [9], [2].”
- Mobile Edge Computing (2021, background): “The latter two scenarios of MCC are sometimes named micro cloud centers [22], cloudlets [35], or fog computing [4].”
- Mobile computing: the next decade (2010, background): “This stateless model leads to an important research challenge: how can a mobile device rapidly and safely customize a cloudlet for its specific use? A possible solution, based on dynamic virtual machine synthesis, is sketched in [3].”
- All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “A cloudlet is a trusted resource-rich computer or a cluster of computers with strong connection to the Internet that is utilized by nearby mobile devices [50].”
- A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, methodology): “The concept of cloudlet was proposed next by Satyanarayanan et al. [38] in 2009.”
- A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing (2012, background): “Satyanarayanan [20] presents a computing model that enables a mobile user to exploit VMs to rapidly instantiate customized service software on a nearby cloudlet and uses the service over WLAN.”
- Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (2013, background): “Cloudlet receives the smartphones intensive computation tasks and partitions them for distribution between itself and distant immobile clouds to enhance QoS [26].”
- Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing (2014, background): “This idea was suggested in [17], [27], with the introduction of cloudlets , providing proximity radio access to fixed servers through Wi-Fi.”
- Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems (2015, background): “[16] propose that mobile devices can use modern algorithms such as facial recognition and language translation to augment human cognition.”
- Mobile Edge Computing: A Taxonomy (2014, background): “is seen as a future, promising approach to increase quality of experience in cellular networks [2]–[4].”
- ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading (2012, background): “Cloudlets [13], [14] proposes the use of nearby resource-rich computers, to which a smartphone connects over a wireless LAN, with the argument against the use of the cloud due to higher latency and lower bandwidth available when connecting.”
- Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, background): “on a smartphone, then the smartphone is the edge of the application and the cloud [37].”