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HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
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OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Scalability, fidelity, and containment in the potemkin virtual honeyfarm
Proceedings of the twentieth ACM symposium on Operating systems principles
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Remus: high availability via asynchronous virtual machine replication
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
SnowFlock: rapid virtual machine cloning for cloud computing
Proceedings of the 4th ACM European conference on Computer systems
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ACM SIGOPS Operating Systems Review
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NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
A Survey on Cloud Computing Elasticity
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
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Reducing the time that a user has to occupy resources for completing cloud tasks can improve cloud efficiency and lower user cost. Such a time, called cloud time, consists of cloud deployment time and application running time. In this work we design jump-start cloud, under which an efficient cloud deployment scheme is proposed for minimizing cloud time. In particular, VM cloning based on disk image sharing has been implemented for fast VM and application deployment. For applications with heavy disk visits, the post-deployment quality of service (QoS) may suffer from image sharing and consequently, application running time will increase. To solve this problem, different image distribution schemes have been designed.We test jump-start cloud through a Hadoop based benchmark and MapReduce applications. Experiment studies show that our design saves application installation time and meanwhile, keeps application running time reasonably low, thus makes cloud time shorter.