Maté: a tiny virtual machine for sensor networks
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Seamless live migration of virtual machines over the MAN/WAN
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
A virtual machine for sensor networks
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Programmable temporal isolation in real-time and embedded execution environments
Proceedings of the Second Workshop on Isolation and Integration in Embedded Systems
CSL: A Language to Specify and Re-specify Mobile Sensor Network Behaviors
RTAS '09 Proceedings of the 2009 15th IEEE Symposium on Real-Time and Embedded Technology and Applications
MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Cyber-physical cloud computing: the binding and migration problem
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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Data center cloud computing distinguishes computational services such as database transactions and data storage from computational resources such as server farms and disk arrays. Cloud computing enables a software-as-a-service business model where clients may only pay for the service they really need and providers may fully utilize the resources they actually have. The key enabling technology for cloud computing is virtualization. Recent developments, including our own work on virtualization technology for embedded systems, show that service-oriented computing through virtualization may also have tremendous potential on mobile sensor networks where the emphasis is on information acquisition rather than computation and storage. We propose to study the notion of information-acquisition-as-a-service of mobile sensor networks, instead of server farms, for cyber-physical cloud computing. In particular, we discuss the potential capabilities and design challenges of software abstractions and systems infrastructure for performing information acquisition missions using virtualized versions of aerial vehicles deployed on a fleet of high-performance model helicopters.