| Title | Performance, Reliability and Scalability for IoT |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Luntovskyy, Andriy, Globa, Larysa |
| Conference Name | 2019 International Conference on Information and Digital Technologies (IDT) |
| Date Published | jun |
| Keywords | 5G, Big Data, Big Data analytics, Cloud and Fog, compositionality, computer network security, cooperative intrusion detection, Industry 4.0, Internet of Things, IoT support, IoT-solutions, machine learning, Performance, pubcrawl, QoS for IoT, Reliability and Scalability, risks evaluation, Robotics, Scalability, security scalability, software platforms, telecommunication network reliability |
| Abstract | So-called IoT, based on use of enabling technologies like 5G, Wi-Fi, BT, NFC, RFID, IPv6 as well as being widely applied for sensor networks, robots, Wearable and Cyber-PHY, invades rapidly to our every day. There are a lot of apps and software platforms to IoT support. However, a most important problem of QoS optimization, which lays in Performance, Reliability and Scalability for IoT, is not yet solved. The extended Internet of the future needs these solutions based on the cooperation between fog and clouds with delegating of the analytics blocks via agents, adaptive interfaces and protocols. The next problem is as follows: IoT can generate large arrays of unmanaged, weakly-structured, and non-configured data of various types, known as "Big Data". The given papers deals with the both problems. A special problem is Security and Privacy in potentially "dangerous" IoTscenarios. Anyway, this subject needs as special discussion for risks evaluation and cooperative intrusion detection. Some advanced approaches for optimization of Performance, Reliability and Scalability for IoT-solutions are offered within the paper. The paper discusses the Best Practises and Case Studies aimed to solution of the established problems. |
| DOI | 10.1109/DT.2019.8813679 |
| Citation Key | luntovskyy_performance_2019 |
Performance, Reliability and Scalability for IoT