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Green Computing and Its Related Technologies
Published in Sherin Zafar, Mohd Abdul Ahad, M. Afshar Alam, Kashish Ara Shakil, Green Automation for Sustainable Environment, 2020
Insha Naz, Sameena Naaz, Ranjit Biswas
After the manufacture of computer in 1948, the world has completely changed. It can be counted in top ten inventions of mankind. Tasks that used to take hours can now be done in fraction of seconds with the help of super computers. But global warming and greenhouse effect is drastically increasing day by day; thus, we need to find the ways that can help to achieving the goal of green and safe environment. Green computing as discussed earlier refers to environmentally liable computing, and it can be anything from power management, proficient algorithms, appropriate utilization of the available resources, energy-efficient display alternative, e-waste recycling, reuse, online data storage to telecommuting. Various green computing approaches such as virtualization and green data centers can help to make the environment greener and safer by reducing the carbon footprints. Green computing mostly deals with reducing, reuse and recycling of IT system like hardware and software application (Pau & Dangwal, 2012).
Green Cloud Computing
Published in Matthew N. O. Sadiku, Emerging Green Technologies, 2020
Cloud computing and green computing are two most recently emerging areas in ICT. They are developing very fast and drastically changing the traditional way of computation. Green computing refers to the eco-friendly and environmentally responsible usage of computers and their resources. It is about reducing the environmental footprint of ICT. It is the practice of using computing resources efficiently. It is the movement toward a more environmentally sustainable computing. The goal of green computing is to reduce the use of hazardous materials and minimize factory waste. There is no easy way to green computing. We must strive to minimize greenhouse gases and waste, while increasing the effectiveness of IT, such as computers, data centers, and computer networks. A green computing activity must cover all territories: people, organizations, equipment, and networks.
Green Smart Education System
Published in Pradeep Tomar, Gurjit Kaur, Green and Smart Technologies for Smart Cities, 2019
Aditya Pratap Singh, Pradeep Tomar
Since the last decade, the use of advanced computing technology has exploded in several areas, including the education system, to improve all aspects of life. However, these advanced technological means also contribute to several environmental problems, which generally are ignored. The advance-computing infrastructure requires a significant amount of electrical energy and causes greenhouse gas emission. The hardware involved in advanced IT infrastructure also has a point of concern at its production and disposal level. The need of computing practices with minimum environmental impact is already identified. Green computing refers to environmentally sustainable computing or the technological practices which have minimum impact on environment. According to Murugesan (2008), green computing or green IT is the “study and practice of designing, manufacturing, using, and disposing of computers, servers, and associated subsystems such as monitors, printers, storage devices, and networking and communications systems efficiently and effectively with minimal or no impact on the environment”. The following approach can be adopted to implement green computing: green use of IT Systemsgreen design of applications and other IT systemsgreen manufacturing of IT hardwaregreen disposal of hardware.
Artificial Intelligence-based Solution for the Prediction for Power Consumption in Electronics and Software Applications
Published in IETE Journal of Research, 2022
Savitha C, Prabodh Khampariya, Kamred Udham Singh, Ankit Kumar, Teekam Singh, Chetan Swarup
The use of computers and other related resources in an environmentally responsible manner is referred to as “green computing”. No of the situation, the goal of high-performance computing research has typically been to complete jobs as rapidly as feasible. However, all this research is now being revaluated to include energy economy in the list of important parameters to consider for HPC performance [11]. The well-known three-layer stack, which consists of hardware (such as increasing cores), platform (such as improved middleware-level schedulers), and applications, has been the subject of research (e.g. parallel programming models). Impressive statistics on the Energy Compact’s economic consequences in data centres. For instance, 15% of overall operational costs are attributable to energy use [12]. According to the European Commission, data centres in Western Europe used 56 TWh of energy in 2007 and would use more than 100 TWh annually by 2020. In addition to these consequences, inefficient energy management has negative ecological consequences due to CO2 emissions.
Application of sustainable computing based advanced intelligent power electronic technology for smart grid systems
Published in International Journal of Computers and Applications, 2021
Zhi Yuan, Weiqing Wang, Shan He
At present, the widespread use of computer systems consumes a large amount of electrical energy. Because computer systems are not only connected to the Internet, but also closely connected to the power network, their operation has a serious environmental impact. All devices, servers, networks, and storage will become more centralized in the cloud environment, and the large concentration of devices will make the cloud environment very complex [1–4]. And a large number of cloud environments using virtualization technology, virtualization is to bring the need to manage the use of the first goal of the increase, the other is the system architecture will change with the business and the continuous occurrence of dynamic changes. These bring some new needs to the operation and maintenance management, and operation and maintenance management in order to adapt to this demand will change dynamically, virtualized environment, therefore, we must make the appropriate adjustments. Most data centers today use virtualization, especially in cloud platforms. Virtualization technology is an effective way to solve the low efficiency of the energy consumption. The basic idea is that the physical resources of the data center are provided to the application for deployment in the way of virtual machines, so multiple virtual machines can be configured on a physical server, so as to improve the server utilization rate and energy efficiency [5–7]. Therefore, coordinating the relationship between IT technology and products and the environment, implementing ‘green computing’ is the most effective solution to these problems. Green computing emphasizes that using various software/hardware advanced technologies, the workload of a large number of the computer systems is currently reduced, the computing efficiency is improved, the number of the computer systems is reduced, and the power consumption of the system supporting power supply is further reduced. Figure 1 gives the sample.
A QoS-based technique for load balancing in green cloud computing using an artificial bee colony algorithm
Published in Journal of Experimental & Theoretical Artificial Intelligence, 2023
Sara Tabagchi Milan, Nima Jafari Navimipour, Hamed Lohi Bavil, Senay Yalcin
With the fast development of the fifth-generation (5 G) and next-generation communications, the Internet of Things (IoT), cloud/edge, and wireless computing provide an online connection for all the people of the world, which can be seen in the high on-chip installation and operation costs of data centres and environmental pollution (Cao, Sun, et al., 2021; Cao, Wang, et al., 2021; Du et al., 2021; Guo et al., 2020; H. Kong et al., 2020; Zong & Wang, 2022). Therefore, an alternative under green cloud computing should be developed to reduce power consumption and operational/executive costs (Issa et al., 2020; M. Li et al., 2023). Green cloud computing is a powerful paradigm for changing customer behaviour by presenting a wide range of services such as IT and healthcare services (Vahdat, 2021). This expansion causes high-energy consumption and significantly influences the environment in terms of carbon emissions. According to United States research, the energy consumption of IT resources is nearly 8% of total energy, and it will grow 50% within a decade (Ceuppens et al., 2008; Etoh et al., 2008). According to Gartner’s estimation, the ICT (Information and Communications Technology) equipment will have the maximum CO2 emissions in the future (C. Pettey). There is considerable anxiety about the increasing electricity demand and related carbon emissions that will be affected by a large data centre. In 2010, electricity utilisation in the global data centre was estimated at 1.5% of the whole electricity usage in the world (Peng et al., 2017). Based on McKinsey’s report, the total electricity bill was $11.5 billion for a data centre in 2010. In a distinctive data centre, energy costs are doubled every five years. Also, carbon emissions were 80 billion kWh from data centres around the whole world in 2007. They will be approximately equal to 340 billion kWh in 2020; in 2030, data centres will consume about 1 to 13% of global electricity compared to 2010. The causal relation between carbon emission and energy consumption causes energy management issues to achieve green computing. Minimising data centres’ energy usage has become a complex and challenging issue by increasing computing applications and related data. The objective of green computing is to offer low-power and high-performance computing infrastructure. Load balancing and schedulers distribute workload evenly across nodes by improving overhead, throughput, scalability, performance, migration time, response time, fault tolerance, energy consumption, and carbon emission factors (Mou et al., 2022). The dynamic Voltage Frequency Scaling (DVFS) (Huang et al., 2012) method decreases the IT equipment’s power consumption. It allows processors to run at diverse frequencies to reduce the processor’s energy consumption. The processor has low performance due to the low processor frequency and voltage. However, the processor voltage and frequency should be reduced to have a low power consumption of the processor (Hong et al., 2021; Niu et al., 2022).