DocumentCode :
1707513
Title :
Femto Clouds: Leveraging Mobile Devices to Provide Cloud Service at the Edge
Author :
Habak, Karim ; Ammar, Mostafa ; Harras, Khaled A. ; Zegura, Ellen
Author_Institution :
Sch. of Comput. Sci., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2015
Firstpage :
9
Lastpage :
16
Abstract :
Mobile devices are becoming increasingly capable computing platforms with significant processor power and memory. However, mobile compute capabilities are often underutilized. In this paper we consider how a collection of co-located devices can be orchestrated to provide a cloud service at the edge. Scenarios with co-located devices include, but are not limited to, passengers with mobile devices using public transit services, students in classrooms and groups of people sitting in a coffee shop. To this end, we propose the femtocloud system which provides a dynamic, self-configuring and multi-device mobile cloud out of a cluster of mobile devices. We present the femtocloud system architecture designed to enable multiple mobile devices to be configured into a coordinated cloud computing service despite churn in mobile device participation. We develop a prototype of our femtocloud system and use it in addition to simulations to evaluate the performance of the system showing its efficiency and ability to leverage the available devices´ compute capacity. We contribute to a line of research on small, local and possibly private clouds.
Keywords :
cloud computing; mobile computing; mobile handsets; colocated devices; coordinated cloud computing service; femtocloud system architecture; mobile devices; multidevice mobile cloud; public transit services; Bandwidth; Cloud computing; Mobile communication; Mobile handsets; Performance evaluation; Prototypes; Servers; Cloud Computing; Compute Offloading; Mobile Clouds; Mobile Device Clouds;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4673-7286-2
Type :
conf
DOI :
10.1109/CLOUD.2015.12
Filename :
7214022
Link To Document :
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