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Green cloud computing

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Green Cloud Computing by Shreyas Khare, …

Green Cloud Computing by Shreyas Khare,
Ref. by Green Cloud Computing and Environmental Sustainability Paper.

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  • Cloud computing is a new paradigm and people are saying it will revolutionize the IT industry. It provides all IT needs through three services: SaaS, PaaS and IaaS
  • Everyone is now aware of increasing contribution of IT industry to environmental pollution.
  • With the improvement of technology, the power consumption of datacenters is also increasing. Most of the power actually goes in the IT applications running on the servers. Even in cooling, the energy consumption is due to server heat.
  • This is the proposed overall architecture. User send requests of Cloud services. Green Broker decides the resources in such a way that it result in minimum carbon emissions. This framework includes two new entities which gives incentives to Cloud providers by providing ways to attract customers.
  • These are the features of the two new entities.PUE DefinitionOverall Power Drawn by the facility divided by the Power Delivered to the Data Centers.PUE relates the total consumption of the installation with that considered essential to the service: the computer servers(IT Load).It is the responsibility of the IT manager to reduce the consumption of IT load (renewing servers, virtualizing, etc.), and theresponsibility of the infrastructure manager to reduce the auxiliary consumption (more efficient equipment, free-cooling, etc.)CUE –Carbon Usage EffectivenessCUE defines CO2 emissions associated with the DC losses.
  • Workload diversification: Because many different sorts of users will be availing themselves of diverse cloud resources – differentapplications, different feature set preferences and different usage volumes – this will improve hardware utilization andtherefore make better use of power that is being used anyway to keep a server up and running. 2. Power-managementflexibility: It is easier to manage virtual servers than physical servers from a power perspective. If hardware fails, the loadcan automatically be deployed elsewhere. Likewise, in theory, all virtual loads could be moved to certain servers when loadsare light and power-down or idle those that are not being used.Recent implementation of cloud computing - virtualization at a Canadian non-profit, Earth Rangers, demonstrated their ability to replace 4 racks of servers with ½ rack of servers and ½ rack of storage for their entire IT Operation.
  • These are some of the facets of research concerning the Indian Scenario.IPTV-IP TelevisionVOIP- Voice Over Internet Protocol

Transcript

  • 1. 1
  • 2. 8/30/20132
  • 3. “Cloud Computing is a paradigm in which information is permanently stored in servers on the internet and cached temporarily on clients that include desktops, entertainment centers, table computers, notebooks, wall computers, hand-helds, sensors, monitors, etc.” - 2008 IEEE paper 8/30/20133
  • 4. 3 Main Types or Personalities Software-as-a-Service (SaaS): A wide range of application services delivered via various business models normally available as public offering Platform-as-a-Service (PaaS): Application development platforms provides authoring and runtime environment Infrastructure-as-a-Service (IaaS): Also known as elastic compute clouds, enable virtual hardware for various uses 8/30/20134
  • 5. IaaS Cloud Programming Environment and Tools: Web 2.0, Mashups, Concurrent and Distributed Programming, Workflow Cloud Hosting Platforms: QoS Negotiation Admission Control, Pricing, SLA Management, Monitoring Cloud Physical Resources: Storage, virtualized clusters, servers, network. Scientific Computing, Enterprise ISV, Social Networking, Gaming Amazon EC2, GoGrid, RightScale, Jovent Animoto, Sales Force, Google Document User Applications User-level and infrastructure level Platform Google AppEngine, MapReduce, Aneka, Microsoft Azure Infrastructure SaaS PaaS CloudEconomy 8/30/20135
  • 6. Elastic Market Oriented (Pay As You Go) Virtualized Service Oriented Dynamic & Distributed Shared (Economy of Scale) Cloud Computing • Gartner Report 2007: IT industry contributes 2% of world's total CO2 emissions • U.S. EPA Report 2007: 1.5% of total U.S. power consumption used by data centers which has more than doubled since 2000 and costs $4.5 billion Dark sideBenefits 8/30/20136
  • 7. Computer Rm. AC 34% Server/Storage 50% Conversion 7% Network 7% Lighting 2% Source: APC Compute resources and particularly servers are at the heart of a complex, evolving system! Where Does the Power Go? Power Consumption in the Datacenter 8/30/20137
  • 8. Clouds Impact on the Environment  Data centers are not only expensive to maintain, but also unfriendly to the environment.  Carbon emission due to Data Centers worldwide is now more than both Argentina and the Netherlands emission.  High energy costs and huge carbon footprints are incurred due to the massive amount of electricity needed to power and cool the numerous servers hosted in these data centers. 8/30/20138
  • 9. Green Cloud: “performance”  “energy efficiency”  As energy costs are increasing, there is a need to shift focus from optimising data center resource management for pure performance alone to optimising for energy efficiency while maintaining high service level performance.  We propose Green Cloud computing model that achieves not only efficient processing and utilisation of computing infrastructure, but also minimise energy consumption. 8/30/20139
  • 10. Green Cloud Computing Architecture 8/30/201310
  • 11. Public Cloud B Private Cloud End User Carbon Emission Directory Public Cloud A a) Request a cloud service d) Allocate service e) Request service allocation c) Request energy efficiency information Green Offer Directory b) Request any green offerRouters Internet Green Broker 8/30/201311
  • 12. Green Offer and Carbon Emission Directory  Carbon Emission Directory  Contains data on Power Usage Effectiveness (PUE), cooling efficiency, carbon footprint, network cost  Helps user to select cloud services with minimum carbon footprint  Require more carbon transparency from providers  Government role by enforcing policies such as Carbon Tax  Green Offer Directory  Incentive for users  Choosing more carbon efficient hours  Lists services with their discounted prices and green hours Power Usage Effectiveness(PUE) 8/30/201312
  • 13. UCAD Data Center Campus Wide Backbone Area occupied : - 60 square meters Operates 24 hours a day Servers : - 500 watts each Green Data Center approach : - Racks Cloud Computing involves : - 1. Workload Diversification 2. Power management flexibility Low Power Processors in data centers : - Microsoft Earth Rangers Case Study of Senegal 13 Rack Design Horizontal Approach : - “Rack” Design Peak Daily Energy : - 23 KW Normal Daily Usage : - 6.8 KW Cloud Scheme : - Two Full Racks completely powered for 24/7 Area Required : - 1240 sq. feet Solar PV Array 8/30/2013
  • 14. Data Centers: As of 2007, 14% of all ICT emission is caused by Data Centers Roughly 50% of the emission due to data centers is due to power system losses and cooling loads Rapid Growth in use of IPTV, VOIP, enterprise IT Use of both Corporate and Internet Data Centers. Indian Scenario 8/30/201314
  • 15. Conclusions  Clouds are essentially Data Centres hosting application services offered on a subscription basis. However, they consume high energy to maintain their operations.   high operational cost + environmental impact  Presented a Carbon Aware Green Cloud Framework to improve the carbon footprint of Cloud computing  Open Issues: Lots of research to be carried out Maximizing Efficiency of Green Data Centers Developing Regions to benefit the most 8/30/201315
  • 16. References  Keynote Paper • Green Cloud Computing and Environmental Sustainability - Saurabh Kumar Garg and Rajkumar Buyya.  Green Cloud Computing : Balancing Energy in Processing, Storage, and Transport By Jayant Baliga, Robert W. A. Ayre, Kerry Hinton, and Rodney S. Tucker  An Intelligent Cloud Computing Architecture Supporting e- Governance by Rajkumar Sharma and Priyesh Kanungo  PUE: The Green Grid metric for evaluating the energy efficiency in DC (Data Center). Measurement method using the Power Demand by Enrique laureguialzo 8/30/201316
  • 17. 8/30/201317