Title

Support for self-optimized organizational patterns in socio-driven elastic clouds

Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Faculty of Health, Engineering and Science

School

School of Computer and Security Science

RAS ID

17480

Comments

This article was originally published as: Karam, Y., Baker, T., & Taleb-Bendiab, A. (2013). Support for self-optimized organizational patterns in socio-driven elastic clouds. Proceedings of the 2013 IEEE International Systems Conference. (pp. 235-243). Orlando, Florida. IEEE. Original article available here

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.

DOI

10.1109/SysCon.2013.6549888

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