In-Network Event Processing in a Peer to Peer Broker Network for the Internet of Things

2007 ◽  
pp. 970-979 ◽  
Author(s):  
Holger Ziekow
Keyword(s):  
Internet Of Things ◽  
Peer To Peer ◽  
The Internet ◽  
Event Processing ◽  
The Internet Of Things ◽  
Network Event

scholarly journals A DHT-Based Discovery Service for the Internet of Things

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Future Internet ◽  
Peer To Peer ◽  
The Internet ◽  
Dangerous Goods ◽  
Discovery Service ◽  
Single Attribute ◽  
Smart Things ◽  
The Internet Of Things

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.

scholarly journals Actors in the Emerging Internet of Things Ecosystems

2017 ◽  
Vol 9 (1) ◽  
pp. 57-75 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Peer To Peer ◽  
The Internet ◽  
Role Behavior ◽  
Analyse Data ◽  
The Internet Of Things

This study investigates actors in the ecosystems of the Internet of Things (IoT). Previous research suggests that unstructured ecosystems make one of the greatest challenges for creating business models for the IoT. The present study concludes four contributions. First, the study reviews literature to develop a framework for role mechanisms in ecosystems and applies the framework to analyse data from fifteen interviews in six cases. Second, it identifies four diverse actor roles in IoT ecosystems: butterfly, ant and greenfly, spider, and the swarm of bees. Third, the study shows how actors take and make different roles in four emerging IoT ecosystems; product-, company-, industry-, and peer to peer ecosystems, which are structured in accordance with the identified actors' role behavior. Fourth, it suggests a new role pattern, role replication, where companies replicate their value designs and networks to other contexts.

Approaching the Internet of Things through Integrating SOA and Complex Event Processing

2014 ◽  
pp. 304-323 ◽  
Author(s):  
Juan Boubeta-Puig ◽  
Guadalupe Ortiz ◽  
Inmaculada Medina-Bulo
Keyword(s):  
Internet Of Things ◽  
Efficient Solution ◽  
Business Processes ◽  
Complex Event Processing ◽  
Third Party ◽  
The Internet ◽  
Event Processing ◽  
Service Oriented Architectures ◽  
The Internet Of Things

The Internet of Things (IoT) provides a large amount of data, which can be shared or consumed by thousands of individuals and organizations around the world. These organizations can be connected using Service-Oriented Architectures (SOAs), which have emerged as an efficient solution for modular system implementation allowing easy communications among third-party applications; however, SOAs do not provide an efficient solution to consume IoT data for those systems requiring on-demand detection of significant or exceptional situations. In this regard, Complex Event Processing (CEP) technology continuously processes and correlates huge amounts of events to detect and respond to changing business processes. In this chapter, the authors propose the use of CEP to facilitate the demand-driven detection of relevant situations. This is achieved by aggregating simple events generated by an IoT platform in an event-driven SOA, which makes use of an enterprise service bus for the integration of IoT, CEP, and SOA. The authors illustrate this approach through the implementation of a case study. Results confirm that CEP provides a suitable solution for the case study problem statement.

scholarly journals Actors in the Emerging Internet of Things Ecosystems

2020 ◽  
pp. 1587-1607
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Peer To Peer ◽  
The Internet ◽  
Role Behavior ◽  
Analyse Data ◽  
The Internet Of Things

This study investigates actors in the ecosystems of the Internet of Things (IoT). Previous research suggests that unstructured ecosystems make one of the greatest challenges for creating business models for the IoT. The present study concludes four contributions. First, the study reviews literature to develop a framework for role mechanisms in ecosystems and applies the framework to analyse data from fifteen interviews in six cases. Second, it identifies four diverse actor roles in IoT ecosystems: butterfly, ant and greenfly, spider, and the swarm of bees. Third, the study shows how actors take and make different roles in four emerging IoT ecosystems; product-, company-, industry-, and peer to peer ecosystems, which are structured in accordance with the identified actors' role behavior. Fourth, it suggests a new role pattern, role replication, where companies replicate their value designs and networks to other contexts.

P2PIoT: A Peer-To-Peer Communication Model for the Internet of Things

2019 ◽  
Author(s):  
Fabio L. L. de Mendonca ◽  
Dayanne F. da Cunha ◽  
Bruno J. G. Praciano ◽  
Mateus da Rosa Zanatta ◽  
Joao Paulo C. L. da Costa ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Peer To Peer ◽  
The Internet ◽  
Communication Model ◽  
Peer Communication ◽  
The Internet Of Things
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