Green Cloud Computing

Green Cloud Computing


Hadi SalimiDistributed Systems Lab,

School of Computer Engineering,Iran University of Science and Technology,

[email protected] 2010

mailto:[email protected]

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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


Page 3 Green Cloud Computing

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


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.


Cloud Infrastructure


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


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


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


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


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


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


Autonomic Optimization of Thermal states and Cooling System Operation Challenge

- High temperature leads to a reduced system reliability and availability, decreased lifetime of deviceso Leverages the temperature variations between different workloadso Hardware level thermal management techniques


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.


Concluding

Cloud computing plays a significant role in the reduction of data center energy consumption costs

Consumers are increasingly becoming conscious about the environment


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

Documents

cloud resources

number of vms

physical nodes

migratedchosen vms

energy usage of data

qosbased resource selection

high energy costs

physical computer