The case for cyber foraging

By Rajesh Krishna Balan, Jason Flinn, Mahadev Satyanarayanan, Shafeeq Sinnamohideen, Hen-I Yang. EW 10, 2002

343 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/912d95c0fd6d93504771dcdde6347cd3ac84cadb

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel (2013, methodology): “Index Terms—Energy-optimal execution, mobile application, cloud computing, lagrangian multiplier method, stochastic wireless channel.”
Serendipity: enabling remote computing among intermittently connected mobile devices (2012, background): “Our work can be viewed as enabling a truly general vision of cyber foraging [4, 5] which envisions mobile applications "living off the land" by exploiting nearby computational resources.”
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, methodology): “It was introduced by Satyanarayanan [36] in 2001 and was further reﬁned by Balan et al. [37] in 2002.”
CloneCloud: elastic execution between mobile device and cloud (2011, methodology): “The paradigm of opportunistic use of ambient resources is not new [Balan 2002]; much research has attacked appli-”
Odessa: enabling interactive perception applications on mobile devices (2011, background): “The idea of offloading computation to networked computing infrastructure to overcome the limited capabilities of a wireless mobile device was proposed a decade ago [1, 2, 7, 27].”
MAUI: making smartphones last longer with code offload (2010, background): “As processors are getting faster, screens are getting sharper, and devices are equipped with more sensors, a smartphone s ability to consume energy far outpaces the battery s ability to provide it.”
ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading (2012, background): “The basic idea of dynamically switching between (constrained) local and (plentiful) remote resources, often referred as cyber-foraging, has shed light on many research work [3], [4], [5], [6], [7], [8], [9].”
Mobile computing: the next decade (2010, background): “This approach, called cyber foraging, was proposed almost a decade ago [2, 25].”
Predictive Resource Management for Wearable Computing (2003, neutral): “We believe that this is a viable strategy, and are indeed exploring it in other research [4].”
Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones (2012, background): “Existing research [14], [2], [13], [4], [5], [17] has proposed a variety of application-offioading mechanisms.”
Cloudlets: bringing the cloud to the mobile user (2012, background): “RELATED WORK Offloading parts of applications from mobile devices to nearly discovered servers, called surrogates, has been proposed before under the term ’cyber foraging’ [1].”
Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (2013, background): “Although surrogates in traditional augmentation approaches [8]–[10], [12] could increase computing capabilities of mobile”
Fog Computing: Focusing on Mobile Users at the Edge (2015, background): “Similar systems typically known as edge computing, such as Cyber Foraging [2], Cloudlets [3], can date back to early 2000.”
Augmented Smartphone Applications Through Clone Cloud Execution (2009, methodology): “Cyber foraging [11] uses surrogates (untrusted and unmanaged public machines) opportunistically to improve the performance of mobile devices.”