1. Green Cloud Computing Hadi Salimi Distributed Systems Lab, School of Computer Engineering, Iran University of Science and Technology, hsalimi@iust.ac.ir Fall 2010 Green Cloud Computing

2. Page  2 Vision and Potential of Cloud Computing -Computer networks grow up and become sophisticated ! -Computing utilities based on a service provisioning model expected -Users can access applications as services from anywhere in the world on demand Green Cloud Computing

3. Page  3 Challenges of Cloud Infrastructure -On-demand resource provisioning in response to time-varying workloads -Data centers are expensive to maintain, High energy costs and huge carbon footprints -Lowering the energy usage of data centers is a complex issue Green Cloud Computing

4. Page  4 Challenges of Cloud Infrastructure (cont.) -Cloud resources need to be allocated not only to satisfy QoS, but also to reduce energy usage. -Rising energy cost is a potential threat as it increases the TCO & ROI of Cloud infrastructure setup by providers. Green Cloud Computing

5. Page  5 Cloud Infrastructure Green Cloud Computing

6. Page  6 Green Cloud Architectural Elements -a) Consumers/Brokers -b) Green Resource Allocator  Green Negotiator  Service Analyzer  Consumer Profiler  Pricing  Energy Monitor  Service Scheduler  VM Manager  Accounting -c) Virtual Machines -d) Physical Machines Green Cloud Computing

7. Page  7 Energy-Aware Data Centre Resource Allocation -The problem of VM allocation can be divided in two parts  admission of new requests for VM  optimization of current allocation of VM -To solve it we apply modification of the Best Fit Decreasing algorithm -The complexity where is the number of VMs that have to be allocated and is the number of hosts  select VMs that need to be migrated  chosen VMs are placed on hosts -The first heuristic is Single Threshold Green Cloud Computing

8. Page  8 Open Challenges -Ability to transfer VMs between physical nodes using live migration -Minimal number of nodes according to current resource requirements -Performance degradation and, thus result in SLA violation Green Cloud Computing

9. Page  9 Energy-aware Dynamic Resource Allocation Challenge - Resized and consolidated - Provide high performance while meeting SLA Excessive power cycling of a server could Turning resources off in a dynamic environment Ensuring SLA brings challenges Green Cloud Computing

10. Page  10 QoS-based Resource Selection and Provisioning Challenge -QoS-aware resource selection plays an important role in Cloud computing -explore the trade-offs between QoS and energy saving Green Cloud Computing

11. Page  11 Optimization of Virtual Network Topologies Challenge -Communicating VMs may costly data transfer between physical nodes -To observe the communication between VMs and place them on the same or closely located nodes Green Cloud Computing

12. Page  12 Autonomic Optimization of Thermal states and Cooling System Operation Challenge -High temperature leads to a reduced system reliability and availability, decreased lifetime of devices o Leverages the temperature variations between different workloads o Hardware level thermal management techniques Green Cloud Computing

13. Page  13 Efficient Consolidation of VMs for Managing Heterogeneous Workloads Challenge -Different types of applications can be allocated on one physical computer node -What kind of applications can be allocated to a single host that efficient usage of the resources. Green Cloud Computing

14. Page  14 Concluding Cloud computing plays a significant role in the reduction of data center energy consumption costs Consumers are increasingly becoming conscious about the environment Green Cloud Computing

15. Page  15 References  Rajkumar Buyya, et al. "Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges." Green Cloud Computing