Thingstore - An Internet Of Things Management System

Keywords

complex event processing; Event Query Language; Internet of Things; service marketplaces; ThingStore

Abstract

The emerging technologies in IoT unveils various devices for the convenience of users, but comes with the price of streaming and processing a large amount of data for delivering useful and presentable results. Especially the multimedia content can be estimated as the most expensive to compute and distribute in IoT environments due to the data size and complexity of algorithms. This may cause bottlenecks in current Internet and data-center infrastructures, thus affecting the service price and quality. ThingStore is an advanced app-store concept to bring device providers, application software developers, and end-users together in an Internet-scale IoT ecosystem. The concept of smart services in ThingStore allows the distribution of the massive computation on IoT to the edges, thus avoiding data transfers and making services with large computational volume possible. The Event Query Language (EQL) allows software developers without domain knowledge to develop applications over large scales of sensor devices. This study introduces the new event query processing approach in ThingStore, provides a new and more detailed definition of EQL and proposes an Internet architecture based on service-oriented computing.

Publication Date

6-30-2017

Publication Title

Proceedings - 2017 IEEE 3rd International Conference on Multimedia Big Data, BigMM 2017

Number of Pages

354-361

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/BigMM.2017.71

Socpus ID

85027708193 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85027708193

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