Abstract
The rapid development of self-driving technology has made self-driving cars come into reality, and some people have already adopted different levels of self-driving technology in real driving practices. With the help of self-driving technology, nowadays people can share and schedule their routes together while driving. However, currently, there are poor supports for such activities, as it demands highly responsiveness, strong consistency guarantees, and low transmission costs. As to support the novel scenario, we developed an edge computing oriented and highly efficient AST-Based lock-free synchronizing and sharing system called Themis on a fundamental itinerary planning model. We optimized the system by adopting partial replication, snapshots of history operations, and compression on consecutive operations strategies, which leave certain calculations at the cloud side, and reduce the amount and size of transmission data in the network. Besides, we have analyzed and proved the correctness of our scheme in detail; examining the significant improvements in performances through experiments.
Highlights
Nowadays, self-driving technology has been successfully applied to daily uses
We proposed and implemented an AST-based (Address Space Transformation [21]) lock-free and edge computing oriented highly efficient routes sharing and synchronizing technical system Themis on the basis of a fundamental real-time routes planning model [2], by applying the partial replication scheme and other optimizing strategies; making significant technical improvements on performances
We developed our scheme on a basic AST implemented system [2] to support collaborative scheduling activities, and further improved it with partial replication design
Summary
Self-driving technology has been successfully applied to daily uses. More and more traditional car manufacturers and IT companies have joined the team to develop self-driving cars [16], many of which have already been put into use. It’s common that in self-driving tours, people wanted to share their driving routes with their friends or families, for better scheduling and sharing of real-time locations and information, adjusting their routes for better travel experience or less time cost. Such needs would become especially urgent when driving in unfamiliar places with. We proposed and implemented an AST-based (Address Space Transformation [21]) lock-free and edge computing oriented highly efficient routes sharing and synchronizing technical system Themis on the basis of a fundamental real-time routes planning model [2], by applying the partial replication scheme and other optimizing strategies; making significant technical improvements on performances.
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