Linux Security Modules: General Security Support for the Linux Kernel
Proceedings of the 11th USENIX Security Symposium
Dynamic Virtual Clusters in a Grid Site Manager
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
The design and implementation of Zap: a system for migrating computing environments
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
From Sandbox to Playground: Dynamic Virtual Environments in the Grid
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Tracing Worm Break-In and Contaminations via Process Coloring: A Provenance-Preserving Approach
IEEE Transactions on Parallel and Distributed Systems
Autonomic Live Adaptation of Virtual Computational Environments in a Multi-Domain Infrastructure
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Dynamic scheduling of virtual machines running HPC workloads in scientific grids
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Virt-LM: a benchmark for live migration of virtual machine
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
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The most powerful characteristic of any machine virtualization technology is its ability to adapt to both its underlying infrastructure and the applications it supports. Possibly the most dynamic feature of machine virtualization is the ability to migrate live virtual machines between physical hosts in order to optimize performance or avoid catastrophic events. Unfortunately, the need for live migration increases during times when resources are most scarce. For example, load-balancing is only necessary when load is significantly unbalanced and impending downtime often causes many virtual machines to seek new hosts simultaneously. It is imperative that live migration mechanisms be as fast and efficient as possible in order for virtualization to provide dynamic load balancing, zero-downtime scheduled maintenance, and automatic failover during unscheduled downtime. This paper proposes a novel dependency-aware approach to live virtual machine migration and presents the results of the initial investigation into its ability to reduce migration latency and overhead. The approach uses a tainting mechanism originally developed as an intrusion detection mechanism. Dependency information is used to distinguish processes that create direct or indirect external dependencies during live migration. It is shown that the live migration process can be significantly streamlined by selectively applying a more efficient protocol when migrating processes that do not create external dependencies during migration.