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

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Argitaratua izan da:Wireless Personal Communications vol. 132, no. 4 (Oct 2023), p. 2737
Egile nagusia: Yadav, Santosh Kumar
Beste egile batzuk: Kumar, Rakesh
Argitaratua:
Springer Nature B.V.
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022 |a 1572-834X 
024 7 |a 10.1007/s11277-023-10741-5  |2 doi 
035 |a 3256864288 
045 2 |b d20231001  |b d20231031 
100 1 |a Yadav, Santosh Kumar  |u NITTTR, Department of CSE, Chandigarh (U.T), India 
245 1 |a EVACON-Rainsnow Computing: An Amalgamation of Cloud and Its Inherited Computing to Encourage End User for Both Localized and Globalized Remote Computing 
260 |b Springer Nature B.V.  |c Oct 2023 
513 |a Journal Article 
520 3 |a 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. 
653 |a End users 
653 |a Scheduling 
653 |a Evaporation 
653 |a Software 
653 |a Condensation 
653 |a Smartphones 
653 |a Computer architecture 
653 |a Edge computing 
653 |a Communication 
653 |a Bandwidths 
653 |a Cloud computing 
653 |a Mobile computing 
653 |a Remote computing 
653 |a Performance evaluation 
653 |a Energy consumption 
653 |a Distributed processing 
700 1 |a Kumar, Rakesh  |u CUH, Department of CSE, Mahendergarh, India (GRID:grid.448761.8) (ISNI:0000 0004 1772 8225) 
773 0 |t Wireless Personal Communications  |g vol. 132, no. 4 (Oct 2023), p. 2737 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3256864288/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3256864288/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3256864288/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch