Image Processing Reference
In-Depth Information
Conclusion
This chapter proposes a novel task migration scheme, where partitionable
resources can be migrated, in order to be fulfilled and executed according to
their limited service time and the allowed execution rates. The migration
scheme provides an efficient cloud rack terminals resources exploitation and
reliable task execution provided to the mobile end-recipients. The proposed
methodology hosts the RUM scheme, which considers the availability of
resources and the rack utilization degree. The proposed scheme offers high
successful execution delivery rates during the resource migration process.
Towards evaluating the performance of the proposed methodology, a number
of experimental tests were conducted under controlled simulation conditions.
The obtained experimental results verified the efficiency of proposed task
migration scheme using the capacity-aware metrics. In this respect, fields for
future research directions include the expansion of this model into a green
motion-aware dynamic resource migration policy, using selective time-
limited offloading policy according to capacity-aware diversities of the
system.
Acknowledgment We would like to thank the European FP7 ICT COST Action IC1105,
3D-ConTourNet-3D Content Creation, Coding and Transmission over Future Media Networks
(WG-3), for the active support and cooperation.
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