
Investigative approach for consequences of computational delay of cloud data centers towards eco-friendly green computing paradigm
Author(s) -
K. Chitra,
M. Getzi
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns1.6273
Subject(s) - cloud computing , green computing , computer science , the internet , big data , energy consumption , data center , global warming , utility computing , data science , distributed computing , environmental economics , cloud computing security , world wide web , climate change , computer network , engineering , operating system , ecology , electrical engineering , economics , biology
Green technology is the emerging new sustainable technology which paves the way for lowering the raise in the earth’s temperature. The increase in toxic waste from the electronic devices in every level of usage increases the global warming and thus the need of green technology is inevitable. The contributions towards green computing in global community will save the environment by minimizing the energy consumption. Emerging technologies in Internet of things, pervasive applications, cloud computing provides effective consumer, scientific and business domains. Due to the massive data storage and computation of cloud computing, there is an exponential increment in the demand of cloud computing. The growth of enormous amount of data brings a huge challenge to the cloud computing environment. Data centers are the main module of the cloud computing environment, but the major issue is the management of power computing in those data centers. Green data centers are established with limited power consumption and carbon-di-oxide emission. The research work mainly focusses on the delay time of the data centers in Internet cloud which in turn increases the usage of power consumption in data centers. The analysis is simulated with Internet cloud and data centers.