Computation offloading toward edge computing

L Lin, X Liao, H Jin, P Li - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

Edge-oriented computing paradigms: A survey on architecture design and system management

C Li, Y Xue, J Wang, W Zhang, T Li - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
While cloud computing has brought paradigm shifts to computing services, researchers and
developers have also found some problems inherent to its nature such as bandwidth …

Lavea: Latency-aware video analytics on edge computing platform

S Yi, Z Hao, Q Zhang, Q Zhang, W Shi… - Proceedings of the Second …, 2017 - dl.acm.org
Along the trend pushing computation from the network core to the edge where the most of
data are generated, edge computing has shown its potential in reducing response time …

Glimpse: Continuous, real-time object recognition on mobile devices

TYH Chen, L Ravindranath, S Deng, P Bahl… - Proceedings of the 13th …, 2015 - dl.acm.org
Glimpse is a continuous, real-time object recognition system for camera-equipped mobile
devices. Glimpse captures full-motion video, locates objects of interest, recognizes and …

Clonecloud: elastic execution between mobile device and cloud

BG Chun, S Ihm, P Maniatis, M Naik… - Proceedings of the sixth …, 2011 - dl.acm.org
Mobile applications are becoming increasingly ubiquitous and provide ever richer
functionality on mobile devices. At the same time, such devices often enjoy strong …

Maui: making smartphones last longer with code offload

E Cuervo, A Balasubramanian, D Cho… - Proceedings of the 8th …, 2010 - dl.acm.org
This paper presents MAUI, a system that enables fine-grained energy-aware offload of
mobile code to the infrastructure. Previous approaches to these problems either relied …

Odessa: enabling interactive perception applications on mobile devices

MR Ra, A Sheth, L Mummert, P Pillai… - Proceedings of the 9th …, 2011 - dl.acm.org
Resource constrained mobile devices need to leverage computation on nearby servers to
run responsive applications that recognize objects, people, or gestures from real-time video …

[PDF][PDF] Volley: Automated data placement for geo-distributed cloud services

S Agarwal, J Dunagan, N Jain, S Saroiu, A Wolman… - NSDI, 2010 - usenix.org
As cloud services grow to span more and more globally distributed datacenters, there is an
increasingly urgent need for automated mechanisms to place application data across these …

Calling the cloud: Enabling mobile phones as interfaces to cloud applications

I Giurgiu, O Riva, D Juric, I Krivulev… - Middleware 2009: ACM …, 2009 - Springer
Mobile phones are set to become the universal interface to online services and cloud
computing applications. However, using them for this purpose today is limited to two …

Heuristic offloading of concurrent tasks for computation-intensive applications in mobile cloud computing

M Jia, J Cao, L Yang - 2014 IEEE Conference on Computer …, 2014 - ieeexplore.ieee.org
Mobile applications are becoming increasingly computation-intensive, while the computing
capacity of mobile devices is limited. A powerful way to reduce completion time of an …