Dynamic and adaptive data caching mechanism for virtualization within sensor-cloud

This work proposes a dynamic, and adaptive caching mechanism for efficient virtualization in sensor-cloud - one of the first attempts in this direction. The work introduces both internal and external caching techniques to ensure efficiency in resource utilization of the underlying physical network. Conventional data transmission techniques involve periodic packet transmissions to the cloud-end. However, the rate of change of the physical environment may not be reasonably significant, thereby leading to redundant packet transmissions and inefficient utilization of network resources. The proposed caching mechanism is flexible with the varied rate of change of the physical environment. Results show that compared to the existing techniques, caching appreciably conserves network resources in terms of energy consumption and network lifetime, by 37.1%, and 48.43%, respectively. Experimental results also depict that using caching techniques, the data provisioned to the end-users through sensor-cloud are atleast 85.91% recent.