The Vision of Autonomic Computing
Computer
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth 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
Live wide-area migration of virtual machines including local persistent state
Proceedings of the 3rd international conference on Virtual execution environments
Contextualization: Providing One-Click Virtual Clusters
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
CloudNet: dynamic pooling of cloud resources by live WAN migration of virtual machines
Proceedings of the 7th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Towards a Contextualization Solution for Cloud Platform Services
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
OPTIMIS: A holistic approach to cloud service provisioning
Future Generation Computer Systems
Cost-Optimal Cloud Service Placement under Dynamic Pricing Schemes
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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We introduce and define the concept of recontextualization for cloud applications by extending contextualization, i.e. the dynamic configuration of virtual machines (VM) upon initialization, with autonomous updates during runtime. Recontextualization allows VM images and instances to be dynamically re-configured without restarts or downtime, and the concept is applicable to all aspects of configuring a VM from virtual hardware to multi-tier software stacks. Moreover, we propose a runtime cloud recontextualization mechanism based on virtual device management that enables recontextualization without the need to customize the guest VM. We illustrate our concept and validate our mechanism via a use case demonstration: the reconfiguration of a cross-cloud migratable monitoring service in a dynamic cloud environment. We discuss the details of the interoperable recontextualization mechanism, its architecture and demonstrate a proof of concept implementation. A performance evaluation illustrates the feasibility of the approach and shows that the recontextualization mechanism performs adequately with an overhead of 18% of the total migration time.