Layer-Integrated Edge Distributed Data Store for Real-time and Stateful Services
Koichiro Amemiya, Akihiro Nakao · 2020
Network operations for real-time and stateful Internet-of-Things (IoT) services, such as Cyber Physical System (CPS) are considered a necessity for driving further innovation in smart and inclusive society. MEC (Multi-access Edge Computing) is one of the essential enablers for those services. But moving devices cannot enjoy the MEC efficacy of low-latency because the geographical coverage area of a single MEC is limited. In this paper, we posit that one of the most significant challenges for realizing real-time and stateful services utilizing MEC is a geographically distributed data store that is designed to support the three requirement, low-latency, stateful, and data locality. Especially the control of the location of data and the directory service that enable quick data access are required to enable real-time and stateful IoT services. Our contributions are four-fold. First, we define the architecture of a geographically distributed data store providing low-latency and consistent data access. Second, we propose in-network directory cache that accelerates the search for the distributed data. Third, we propose a novel algorithm which decides data location to achieve low-latency data access. Finally, we define an index to evaluate the efficacy of the geographically distributed data store. Our evaluation result shows that the proposed method enables low-latency and consistent data access, even when mobility devices move across edge coverage areas.