EVACON-Rainsnow Computing: An Amalgamation of Cloud and Its Inherited Computing to Encourage End User for Both Localized and Globalized Remote Computing

Abstract

The demand for cloud enabled computing is rising which motivated the researchers to develop various computings such as mobile cloud computing, edge computing, transparent computing, fog computing, federated cloud etc. This paper discusses different distributed remote computing techniques and its related aspects. It proposes a new computing paradigm for distributed remote computing named as EVACON (Evaporation–Condensation)-Rainsnow Computing. As the name suggests the term EVACON-Rainsnow represents the environmental phenomena of evaporation, condensation, rain, and snow. How these distributed computing is related to this environmental phenomenon is discussed in detail in this manuscript. The proposed work represents the comparative analysis of new computing with the existing computing technologies. It also demonstrates the detailed architecture, feature, and benefits of EVACON-Rainsnow Computing. This paper explains principle, components, working architecture, functionality of different layers, advantages, applications, and challenges involved with proposed computing. In this work, existing SKYR framework for distributed computing of mobile cloudlet-based computing is improved further by incorporating proposed Task-Segregation () and Scalability () algorithms to accommodate federated cloud and dew computing which comprehensively make it best suited for the proposed computing. Working flow and architecture of this improved framework to execute proposed computing and its comparison with the different frameworks is also illustrated in this paper.