Augmented Smartphone Applications Through Clone Cloud Execution

By Byung-Gon Chun, Petros Maniatis. USENIX Workshop on Hot Topics in Operating Systems, 2009

521 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4e1f37dbbde87067db80379a2bcec4fa9825ee5b

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Citations in the corpus

A Survey of Mobile Cloud Computing Application Models (2014, background): “The primary objective of performance based application models is to enhance the performance of mobile device applications by utilizing cloud resources.”
A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing (2013, methodology): “Clone cloud [6] is a significant framework for offloaded processing which includes a simple approach for synchronization between SMD and remote server.”
Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks (2014, methodology): “Examples of methods based on virtualization are Mobile Assistance Using Infrastructure (MAUI) [7], CloneCloud [14], and MobiCloud [15].”
Compressing Neural Networks with the Hashing Trick (2015, background): “…} and the k th dimension of the hashed input x is deﬁned as The hashing trick leads to large memory savings for two reasons: it can operate directly on the input term strings and avoids the use of a dictionary to translate words into vectors; and the parameter vector of a learning model lives…”
Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones (2012, background): “Various cloud-assisted mo bile platforms have been proposed, such as cloudlet [14], cloud clone [4], and etc.”
Cuckoo: A Computation Offloading Framework for Smartphones (2010, background): “From the field of security Chun et al [17] propose an architecture, called CloneCloud, that can offload computation, such as virus scans and taint checking to a clone of the smartphone in the cloud.”
A Survey of Computation Offloading for Mobile Systems (2012, methodology): “Techniques have been proposed to enable offloading at the virtual-machine level; for example, Chun and Maniatis [16] use cloud computing to enable offloading.”
Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges (2014, background): “Several efforts such as [10], [12], [39]–[42] deploy cloud computing technology to enhance the capability of smartphone.”
MAUI: making smartphones last longer with code offload (2010, background): “Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for pro.t or commercial advantage and that copies bear this notice and the full citation on the .rst page.”
Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (2013, background): “Software augmentation techniques are classified as remote execution (offloading or cyber foraging) [5]–[8], [10]–[13 ], [16]–[18], [25], [29], [30], [33]–[35], [41], [43], [44], [ 97], remote storage [98], Multi-tier programming [36], [45], [4 6], live cloud-streaming [99], resource-aware computing ”
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022, background): “Fortunately, a few system architectures such as Cloudlet [181] and CloneCloud [182] are proposed to manage mobile cloud computing and provide support for the device with weak computation so that they can access the Metaverse.”
CloneCloud: elastic execution between mobile device and cloud (2011, methodology): “To address this problem, in this paper we realize our CloneCloud vision [Chun 2009] of a flexible architecture for the seamless use of ambient computation to augment mobile device applications, making them fast and energyefficient.”