18 research outputs found
An energy-efficient failure detector for vehicular cloud computing
<div><p>Failure detectors are one of the fundamental components for maintaining the high availability of vehicular cloud computing. In vehicular cloud computing, lots of RSUs are deployed along the road to improve the connectivity. Many of them are equipped with solar battery due to the unavailability or excess expense of wired electrical power. So it is important to reduce the battery consumption of RSU. However, the existing failure detection algorithms are not designed to save battery consumption RSU. To solve this problem, a new energy-efficient failure detector 2E-FD has been proposed specifically for vehicular cloud computing. 2E-FD does not only provide acceptable failure detection service, but also saves the battery consumption of RSU. Through the comparative experiments, the results show that our failure detector has better performance in terms of speed, accuracy and battery consumption.</p></div
Architecture of vehicular cloud computing.
<p>Architecture of vehicular cloud computing.</p
Running time of RSU vs. sliding window size for different FDs.
<p>Running time of RSU vs. sliding window size for different FDs.</p
Query accuracy probability and mistake rate.
<p>Query accuracy probability and mistake rate.</p
Query accuracy probability vs. detection time in Wireless.
<p>Query accuracy probability vs. detection time in Wireless.</p
Mistake rate vs. detection time in Wireless.
<p>Mistake rate vs. detection time in Wireless.</p
A Weibull distribution accrual failure detector for cloud computing
<div><p>Failure detectors are used to build high availability distributed systems as the fundamental component. To meet the requirement of a complicated large-scale distributed system, accrual failure detectors that can adapt to multiple applications have been studied extensively. However, several implementations of accrual failure detectors do not adapt well to the cloud service environment. To solve this problem, a new accrual failure detector based on Weibull Distribution, called the Weibull Distribution Failure Detector, has been proposed specifically for cloud computing. It can adapt to the dynamic and unexpected network conditions in cloud computing. The performance of the Weibull Distribution Failure Detector is evaluated and compared based on public classical experiment data and cloud computing experiment data. The results show that the Weibull Distribution Failure Detector has better performance in terms of speed and accuracy in unstable scenarios, especially in cloud computing.</p></div
The experimental environment of cloud computing.
<p>The experimental environment of cloud computing.</p