Title
Support for self-optimized organizational patterns in socio-driven elastic clouds
Abstract
Due to high complexity and heterogeneity of cloud environment, and this had interchangeably been imposed by a plethora of socially co-engineered cloud application architectures, designers are yet facing difficulties in choosing from approaches to model transformation between multiple domains solutions. In fact most of cloud based application development became hectic due to overwhelming number of layers which interrelate to significant application problem area. Such newly growing challenges had demanded to choose more cost effective ways of how to elicit efficient solutions that can articulate several types of requirements. Focusing on high level conceptual views; this paper introduces a new dynamic domain driven design method, which serves self-optimizing of socially interacted organizational patterns in cloud based environment. Such method helps to describe user aspects of tackled domains and problems to be solved rather than being concerned about choosing which program model should be used to satisfy features, goals and objectives for such software application.
Year
DOI
Venue
2013
10.1109/SysCon.2013.6549888
2013 7TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON 2013)
Keywords
Field
DocType
component,Elastic Clouds,Intention Modeling,Organizational Patterns,Automated Planing
Model transformation,Organizational patterns,Software engineering,Systems engineering,Domain driven design,Software,Engineering,Software architecture,Computational complexity theory,Cloud computing
Conference
ISSN
Citations 
PageRank 
1944-7620
1
0.35
References 
Authors
9
3
Name
Order
Citations
PageRank
Yasir Karam1132.96
thomas e baker210.35
a t bendiab310.35