Global Discovery Service for Enhancing Performance of Intra- and Inter-Discovery Services in the Internet of Things

Kiwoong Kwon, Dongsoo Kim, Wondeuk Yoon, Daeyoung Kim

http://doi.org/10.5626/JOK.2018.45.5.502

The smart things on the Internet of Things (IoT) are connected to each other to generate a huge amount of thing data. This data is being stored in globally distributed repositories and used in a variety of IoT applications. Therefore, it is essential to access and retrieve a source of data repositories where the thing data is stored. GS1, an international nonprofit organization, was the first to propose the Discovery Service (DS), which searches for thing data repositories associated with the given thing. However, the existing DS studies focus on improving the performance of Inter-DS, which finds a specific one among distributed Intra-DS, so that the performance degradation of the Intra-DS may cause the degradation of the overall DS performance. To alleviate this problem, we propose the Global-DS (GDS) that considers both Inter- and Intra-DS performance. For performance evaluation, we constructed an experimental testbed, and tested the throughput and delay of GDS. The results showed that data partitioning, load balancing and caching improve the performance of GDS.