Title
Converting legacy desktop applications into on-demand personalized software
Abstract
To access personalized software applications on demand is an attractive usage mode of software. This paper presents such a solution based on lightweight virtualization technologies, which can convert the enormous existing desktop software into on-demand software across the Internet without any modification of source code. First, a construction and runtime model of software is proposed. It regards software as an entity containing three parts: Part1 includes all resources provided by the OS; Part2 contains what is created by the installation process; and Part3 is the data produced/modified during the runtime. Moreover, the software is executed in a lightweight virtualization environment where the APIs accessing Parts 2 and 3 are intercepted and redirected to the real storage positions (like the network and the portable storage device) as needed. In addition, a network-resource access protocol is developed for the software on demand, which implements content-addressable storage, p2p (peer-to-peer) transfer acceleration, content integrity check, and the prevention of illegal copy. From the viewpoint of the user, he/she can run his/her personalized software on any compatible computer although it does not exist on the host. Finally, its performance analysis and tests show that this proposed solution can be efficient in the performance.
Year
DOI
Venue
2010
10.1109/TSC.2010.32
IEEE T. Services Computing
Keywords
DocType
Volume
software execution,application program interfaces,personalized software,enormous existing desktop software,real storage position,content addressable storage,p2p transfer acceleration,on-demand software,illegal copy,on-demand personalized software,operating systems (computers),software maintenance,legacy desktop software,lightweight virtualization technologies,network-resource access protocol,Internet,personalized software application,software as services,access protocols,copy protection,virtual machine.,lightweight virtualization environment,portable storage device,API,installation process,peer-to-peer computing,OS,content-addressable storage,source code,performance analysis,Distributed system,converting legacy desktop applications,lightweight virtualization technology
Journal
3
Issue
ISSN
Citations 
4
1939-1374
4
PageRank 
References 
Authors
0.48
16
3
Name
Order
Citations
PageRank
Youhui Zhang120228.36
Gelin Su241.49
Weimin Zheng31889182.48