2019
DOI: 10.1109/access.2019.2960516
|View full text |Cite
|
Sign up to set email alerts
|

Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making

Abstract: The impressive evolution of the Internet of Things and the great amount of data flowing through the systems provide us with an inspiring scenario for Big Data analytics and advantageous real-time context-aware predictions and smart decision-making. However, this requires a scalable system for constant streaming processing, also provided with the ability of decision-making and action taking based on the performed predictions. This paper aims at proposing a scalable architecture to provide real-time context-awar… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
13
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 29 publications
(13 citation statements)
references
References 46 publications
0
13
0
Order By: Relevance
“…The developed protocol CP-ABE is better in terms of verifying the un-authorization of data [44] and eavesdropping attacks. In contrast, our constructed architecture successfully eliminates man in the middle and eavesdropping attacks within the fog-IoT [45]- [48] block-chained [49]- [50] orchestration hierarchy. Ronghua Xu et al [51] employed an SOA (e.g., service oriented) blockchain-based decentralized microservice architecture for IoT cyber-physical systems.…”
Section: Background and Morphological Studymentioning
confidence: 95%
“…The developed protocol CP-ABE is better in terms of verifying the un-authorization of data [44] and eavesdropping attacks. In contrast, our constructed architecture successfully eliminates man in the middle and eavesdropping attacks within the fog-IoT [45]- [48] block-chained [49]- [50] orchestration hierarchy. Ronghua Xu et al [51] employed an SOA (e.g., service oriented) blockchain-based decentralized microservice architecture for IoT cyber-physical systems.…”
Section: Background and Morphological Studymentioning
confidence: 95%
“…However, most services may have connections to at least some of them (due to location constraints, spectrum usage, etc.). For this reason, the service discovery process must be implemented in such a way that it can be used by all services [43]. As a possible solution, for example, Single Frequency Network (SFN) based approaches can reduce the load on these services by simplifying the number of frequencies used [44].…”
Section: B Advantagesmentioning
confidence: 99%
“…Unlike messaging patterns where the service must know the message's structure and content, this approach does not require it. Communication between services takes place via events that individual services produce [23]. Message brokers are still needed here as the service can write their events to them.…”
Section: ) Message-basedmentioning
confidence: 99%