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

A new fuzzy‐based method for load balancing in the cloud‐based Internet of things using a grey wolf optimization algorithm

“…Recent years have seen a surge of research into cloud computing for providing tools, techniques, and support infrastructure to deliver affordable on-demand dependable network-centric applications and services. 25,26 Load balancing issue is one of the NP-hard problems, so traditional algorithms are not effective in solving these complex problems. In addition, obtaining the optimal solution is time-consuming.…”

Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams

“…In addition to mechanisms that dynamically link/remove components or services, an intensive research effort has been spent to provide applications with a fully autonomic logic able to derive automatically which is the best reconfiguration plan allowing the applications to achieve the current users' requirements without human intervention. Formal descriptive languages [39,40] have been proposed in order to deduce the behavior that must be adopted in new contexts that have not earlier been examined by the application developer.…”