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Job sequence scheduling for cloud computing
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- 2. Guided By Prof. ChaitaliChandankhade Presented By Ms.Samruddhi Wagh ME(IT)12418 MIT COLLEGE OF ENGINEERING KOTHRUD PUNE
- 3. Agenda • Cloud Computing •Job Sequence Scheduling •Virtualization • Energy Conservation for Data Centers • Network Security And Protection
- 4. Cloud Computing • CloudComputing is the on demand network access to shared pool or computing resources such as: • • • • • Network Server Storage Application Services
- 5. Clouds offer Subscription-OrientedIT Services Public Cloud Cloud Manager Clients Private Cloud Other Cloud Services Govt. Cloud Services
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- 7. Deployment Models • Fourdeployment models of cloud computing: • • • • Public Cloud Community Cloud Hybrid Cloud Private Cloud
- 8. Service Models • Threeservice models of cloud computing: • • • Cloud Infrastructure as a Service Cloud Software as a Service Cloud Platform as a Service
- 9. Characteristics • On-demand self-service •Broad network access • Resource pooling • Rapid elasticity • Measured service
- 10. Job Sequence Scheduling •Map and Reduce • Reduce perform three steps: • • • • Copy Sort Reduce Hadoop Distributed File System(HDFS) • • Reliability Fault Tolerance • Resource Estimation Model
- 11. Job Sequence SchedulingThrough Virtualization • Resource Configuration • • • • Configuration Manager(CM) Machine Manager(MM) Release Queue(RQ) Assign Queue(AQ) • Completion Time Based Scheduler • • Virtual Cluster Physical Cluster
- 12. Completion Time BasedScheduler
- 13. Virtualization • Flexibility andEnergy conservation • Datacenter Automation and Management • Cloud Interoperability • Enterprise Datacenter to Cloud Migrations • Capacity Planning • Detecting Compromised Virtual Machines • Virtual Network Access Control
- 14. Virtualization Architecture • GuestOS • PV(Para Virtualization) • FV(Full Virtualization) • Host OS • Virtual Machine Monitor • Hypervisor • KVM(Kernel Based Virtual Machine) • Intel-VT • AMD-V
- 15. Energy Conservation forDatacenters • Economy of scale due to elimination of redundancies • Efficient resource management by the Cloud provider • Improved utilization of the resources • Location independence • Scaling up and down
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- 17. Network Security andProtection • Cloud computing is the next generation of Network computing • The Security of Virtual Network in virtualization environment • Xen platform • Virtual Network Model
- 18. Network Security Iaas •Xenoffers two modes for users to configure virtual network • Bridge • Virtual Machine(VM) • Dynamic Host Configuration Protocol(DHCP) • Virtual Interface(VIF) • Route • MAC(Memory Allocation) • IP(Internet Protocol)
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- 22. Conclusion • To reduceenergy consumption of data centers one can consolidate computation workloads of jobs onto a minimum subset of servers • To improve the security of the inter-communication among virtual machines Can be deployed in any physical server that supports virtualization • To maintain flexibility and Energy Conservation
- 23. References • Anton Beloglazovand Rajkumar Buyya. Energy efficient resource management in virtualized cloud data centers. In Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, CCGRID ’10, pages 826–831, Washington, DC, USA, 2010. IEEE Computer •Amazon Elastic Compute Cloud (Amazon EC2), http://aws.amazon.com/ec2/. Society. •Xen credit scheduler. http://wiki.xen.org/wiki/Credit_Scheduler. • J. Wolf, et al. FLEX: A Slot Allocation Scheduling Optimizer for MapReduce Workloads. In Procof Middleware’2010. •VMsafe: A Security Technology for Virtualized Environments, http://www.vmware.com/overview/security/vmsafe
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