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Green cloud
This document discusses green cloud computing. It begins by defining green computing and cloud computing individually. Green computing aims to reduce power consumption and environmental impact of IT, while cloud computing involves virtualized and interconnected computers. Green cloud computing combines these concepts by making cloud infrastructure and operations more energy efficient. The document then covers benefits like reduced energy use, the role of dynamic provisioning and multi-tenancy in cloud enabling green computing, and a case study on a green cloud architecture and scheduling policies that can reduce carbon emissions by 20%.
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Green cloud
- 1. Green Cloud Computing Presented To MrsMala Kalra Assistant Professor Presented By Swati Nautiyal 162420
- 2. Green Computing • Greencomputing is the study and practice of environmentally sustainable computing or Information Technology. • Achieved by reducing the overall power consumption
- 3. Cloud Computing A cloudis a distributed computing system consisting of a collection of interconnected and virtualized computers . Types of cloud • Saas • Paas • Iaas Deployment model •Public •Private •Hybrid
- 4. Green Cloud Computing •It is the combination of green computing and cloud computing. • The green cloud presents a simulation environment for energy aware cloud computing data centers.
- 5. Need Of GreenCloud Computing • In the last compel of years, more data centers are came into existence the energy consumption of these data centers are also increased to a great extent.¹ • In 2007, Gartner estimated that ICT industry generates about 2% of the total global CO2¹
- 6. Benefits 1. Reduce energyconsumption of computing resources during peak operation. 2. Save energy during idle operation. 3. Use eco-friendly sources of energy. 4. Reduce harmful effects of computing resources. 5. Reduce computing wastes
- 7. Cloud Enabling GreenComputing According to Accenture Report² , there are following key factors that have enabled the cloud computing to lower energy usage and carbon emission. • Dynamic Provisioning • Multi-tenancy • Server Utilization • Datacenter Efficiency
- 8. Cloud Computing AndEnergy Usage Model
- 9. Cont. • User/Cloud SoftwareApplication energy consumption is directly proportional to the application’s profile. • Cloud software stack for SaaS, PaaS IaaS Cloud software stack leads to an extra overhead in execution of end user applications.(accounting, monitoring,recoveryetc). • Network Devices Energy consumption is same during both peak time and idle time.
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- 11. Cont. • SaaS Level Usedatacenters which are energy efficient and near to user. • PaaS Level Use various energy profiling tools such as JouleSort. • IaaS Level Use latest technologies for IT and cooling system to have most energy efficient infrastructure
- 12. Case Study: IaaSProvider Five policies employed for scheduling by Green Broker • Greedy Minimum Carbon Emission(GMCE) • Minimum Carbon Emission-Minimum Carbon Emission(MCE-MCE) • Greedy Maximum Profit(GMP) • Maximum Profit-Maximum Profit(MP-MP) • Minimizing Carbon Emission and Maximum Profit(MCE-MP)
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- 15. Conclusion Green policies reducescarbon emission by almost 20% Even though Green cloud framework embeds various features to make Cloud computing much more green, there are still many technological solutions are required to make it a reality.
- 16. References • 1. Rivoire,S., Shah, M. A., Ranganathan, P., and Kozyrakis, C. 2007. Joulesort: a balanced energy-efficiency benchmark, Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, NY, USA. • 2. Saurabh Kumar and Rajkumar Buyya, “Green Cloud Computing and Environmental Sustainability”, Harnessing Green It: Principles and Practices, September 4.2012 • Ankita Atrey, Nikita Jain and Iyengar N.Ch.S.N., “A Study on Green Cloud Computing”, proceeding of the International Journal of Grid and Distributed Computing Vol.6, No.6 (2013), pp.93-102
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