Cloud Computing Technologies for Green Enterprises: Fundamentals of Cloud Computing for Green Enterprises

Cloud Computing Technologies for Green Enterprises: Fundamentals of Cloud Computing for Green Enterprises

Parkavi Ravi, Priyanka Chinnaiah, Sheik Adullah Abbas
Copyright: © 2018 |Pages: 27
DOI: 10.4018/978-1-5225-3038-1.ch001
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Abstract

Green computing, also called green equipment, is the environmentally sustainable to use of computers and related resources like - monitors, printer, storage devices, networking and communication systems - effectively with minimal or no impact on the environment. Green cloud is a catchphrase that refers to the potential environmental benefits that information technology (IT) services delivered over the Internet will present society. The word combines the words green meaning environmentally gracious and cloud, the traditional image for online and the shortened name for a type of service delivery model known as cloud processing.
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Green Computing

Green computing is the ecological use of computers and correlated resources. Such practices include the execution of energy-efficient central processing units, servers, peripherals as well as reduced resource expenditure and proper disposal of electronic waste. Green computing is a study and practice of designing, industrialized, using, and disposing of computers, servers, and associated subsystems such as monitors, printers, storage devices, and networking and interactions systems resourcefully and efficiently with minimal or no impact on the environment.” The goals of green computing are similar to green chemistry; reduce the use of hazardous materials, make the most of energy efficiency during the product's lifetime, and promote the recyclability or bidegradability of defunct products and factory waste. Research continues into key areas such as making the use of computers as energy-efficient as possible, and designing algorithms and systems for efficiency-related computer technologies.

There are several approaches to green computing namely

  • Algorithmic efficiency

  • Resource allocation

  • Virtualization

  • Power management

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