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The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading compu-tation to multiple devices is an effective method to reduce energy consumption and enhance performance for…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-13 Hao Qian

Smartphones have exploded in popularity in recent years, becoming ever more sophisticated and capable. As a result, developers worldwide are building increasingly complex applications that require ever increasing amounts of computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-19 Sokol Kosta , Andrius Aucinas , Pan Hui , Richard Mortier , Xinwen Zhang

The advent of 5G networking technologies has increased the expectations from mobile devices, in that, more sophisticated, computationally intense applications are expected to be delivered on the mobile device which are themselves getting…

Networking and Internet Architecture · Computer Science 2016-11-17 S. Eman Mahmoodi , K. P. Subbalakshmi , Vidya Sagar

A promising technique to provide mobile applications with high computation resources is to offload the processing task to the cloud. Utilizing the abundant processing capabilities of the clouds, mobile edge computing enables mobile devices…

Information Theory · Computer Science 2019-06-24 Meysam Masoudi , Cicek Cavdar

Computation offloading is indispensable for mobile edge computing (MEC). It uses edge resources to enable intensive computations and save energy for resource-constrained devices. Existing works generally impose strong assumptions on radio…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-26 Tianxi Ji , Changqing Luo , Lixing Yu , Qianlong Wang , Siheng Chen , Arun Thapa , Pan Li

Mobile applications are becoming increasingly ubiquitous and provide ever richer functionality on mobile devices. At the same time, such devices often enjoy strong connectivity with more powerful machines ranging from laptops and desktops…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-09-28 Byung-Gon Chun , Sunghwan Ihm , Petros Maniatis , Mayur Naik

Cloud mobile computing enables the offloading of computation-intensive applications from a mobile device to a cloud processor via a wireless interface. In light of the strong interplay between offloading decisions at the application layer…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-29 Shahrouz Khalili , Osvaldo Simeone

A wireless system is considered, where, computationally complex algorithms are offloaded from user devices to an edge cloud server, for the purpose of efficient battery usage. The main focus of this paper is to characterize and analyze, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-01 Shreya Tayade , Peter Rost , Andreas Maeder , Hans D. Schotten

Smartphones have recently gained significant popularity in heavy mobile processing while users are increasing their expectations toward rich computing experience. However, resource limitations and current mobile computing advancements…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-20 Saeid Abolfazli , Zohreh Sanaei , Abdullah Gani

Achieving long battery lives or even self sustainability has been a long standing challenge for designing mobile devices. This paper presents a novel solution that seamlessly integrates two technologies, mobile cloud computing and microwave…

Information Theory · Computer Science 2016-03-14 Changsheng You , Kaibin Huang , Hyukjin Chae

The base motivation of Mobile Cloud Computing was empowering mobile devices by application offloading onto powerful cloud resources. However, this goal can't entirely be reached because of the high offloading cost imposed by the long…

Networking and Internet Architecture · Computer Science 2016-12-09 Roya Golchay , Frédéric Le Mouël , Julien Ponge , Nicolas Stouls

As computational resources are placed at different points in the edge-cloud continuum, not only the responsiveness on the client side is affected, but also the energy spent during communications. We summarize the main approaches used to…

Networking and Internet Architecture · Computer Science 2025-03-04 Chiara Caiazza , Valerio Luconi , Alessio Vecchio

Mobile edge computing (MEC) is a promising technology that provides cloud and IT services within the proximity of the mobile user. With the increasing number of mobile applications, mobile devices (MD) encounter limitations of their…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-10 Mahla Rahati-Quchani , Saeid Abrishami , Mehdi Feizi

Energy efficiency can have a significant influence on user experience of mobile devices such as smartphones and tablets. Although energy is consumed by hardware, software optimization plays an important role in saving energy, and thus…

Software Engineering · Computer Science 2016-08-19 Xueliang Li , John P. Gallagher

Mobile cloud computing enables the offloading of computationally heavy applications, such as for gaming, object recognition or video processing, from mobile users (MUs) to cloudlet or cloud servers, which are connected to wireless access…

Networking and Internet Architecture · Computer Science 2017-02-07 Ali Al-Shuwaili , Osvaldo Simeone , Alireza Bagheri , Gesualdo Scutari

The increasing complexity of smartphone applications and services necessitate high battery consumption but the growth of smartphones' battery capacity is not keeping pace with these increasing power demands. To overcome this problem,…

Networking and Internet Architecture · Computer Science 2016-12-12 Kathleen Sucipto , Dimitris Chatzopoulos , Sokol Kosta , Pan Hui

Offloading work to cloud is one of the proposed solutions for increasing the battery life of mobile devices. Most prior research has focused on computation-intensive applications, even though such applications are not the most popular ones.…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-17 Aki Saarinen , Matti Siekkinen , Yu Xiao , Jukka K. Nurminen , Matti Kemppainen , Pan Hui

Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices,…

Information Theory · Computer Science 2017-09-05 Changsheng You , Kaibin Huang

The conventional designs of mobile computation offloading fetch user-specific data to the cloud prior to computing, called offline prefetching. However, this approach can potentially result in excessive fetching of large volumes of data and…

Information Theory · Computer Science 2017-02-24 Seung-Woo Ko , Kaibin Huang , Seong-Lyun Kim , Hyukjin Chae

Multiple access mobile edge computing is an emerging technique to bring computation resources close to end mobile users. By deploying edge servers at WiFi access points or cellular base stations, the computation capabilities of mobile users…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-12 Xin Long , Jigang Wu , Long Chen
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