Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8129
Title: Cloud offloading on customer-provided resources
Authors: Lai, K
Tang, H
Wang, H
Ding, S
Wang, D 
Keywords: Cloud computing
Customer services
Delays
Mobile radio
Protocols
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE Wireless Communications and Networking Conference (WCNC), 7-10 April 2013, Shanghai, p. 4695-4700 How to cite?
Abstract: Cloud offloading has recently attracted a substantial amount of attention from both industry and academia. This new generation of service, beyond conventional task scheduling and management, utilizes the abundant computation capacity from the public clouds and takes it as a part of external resource on the mobile devices. In this paper, we find that the cloud offloading can potentially increase the running latency of the offloaded tasks. Our measurement shows that the cloud offloading systems, such as Gaikai, can introduce up to 400ms communication latency between the customers and the remote offloading servers. This creates a severe bottleneck to offload the delay sensitive tasks. To mitigate such a challenge, we suggest Cloud Offloading on Customer-Provided Resources, which utilizes the local resources of the customers, such as their home PCs, to minimize the latency during the task offloading. We discuss the framework design based on our commercial system SpotCloud and propose a travel-aware protocol to further address the latency problems when the customers are traveling far from their home PCs. Our model analysis and trace-based simulation indicate that the task execution latency can be reduced by 60% when using the customer-provided offloading service. It is reasonable to believe that such a framework can serve as a useful complement to the conventional cloud offloading on pubic clouds.
URI: http://hdl.handle.net/10397/8129
ISBN: 978-1-4673-5938-2
978-1-4673-5937-5 (E-ISBN)
ISSN: 1525-3511
DOI: 10.1109/WCNC.2013.6555335
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Last Week
0
Last month
Citations as of Oct 17, 2017

Page view(s)

47
Last Week
1
Last month
Checked on Oct 16, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.