Paper Info
Title
Recognition Of Dynamic Data Structures To Support Porting Of Applications To The Cloud
Abstract
In the present work we describe a methodology, based on previous research efforts, for the recognition of dynamic Data structures (queue, pipe, stack and similar) from sequential source code. The recognized structures are then mapped to Cloud services in order to support the semi-automatic restructuring of the source code. The objective is to support software developers in the complex process of porting their native applications to a Cloud Platform, through a general methodology which is independent from the target environment. A prototype tool which implements the methodology is also presented, with examples of the intermediate representations of source code (parallel skeletons, Cloud patterns) and of the Prolog rules which enable the recognition and the transformation process.
Year
DOI
Venue
2015
10.1109/CIT/IUCC/DASC/PICOM.2015.350
CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING
Keywords
Field
DocType
Algorithmic recognition, Dynamic Structures, Cloud Computing, Prolog, Skeleton
Data structure,Programming language,Computer science,Source code,Queue,Knowledge-based systems,Software,Prolog,Porting,Distributed computing,Cloud computing
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
2
Name
Order
Citations
PageRank
Beniamino Di Martino11287141.47
Antonio Esposito27818.72