Open AccessPosted Content
When Things Matter: A Data-Centric View of the Internet of Things
Yongrui Qin,Quan Z. Sheng,Nickolas Falkner,Schahram Dustdar,Hua Wang,Athanasios V. Vasilakos +5 more
TLDR
The main techniques and state-of-the-art research efforts in IoT from data-centric perspectives are surveyed, including data stream processing, data storage models, complex event processing, and searching in IoT.Abstract:
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. While IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume, but also noisy, and continuous. This article surveys the main techniques and state-of-the-art research efforts in IoT from data-centric perspectives, including data stream processing, data storage models, complex event processing, and searching in IoT. Open research issues for IoT data management are also discussed.read more
Citations
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Journal ArticleDOI
Data quality in internet of things
TL;DR: Techniques for enhancing DQ in IoT are presented with a special focus on data cleaning techniques which are reviewed and compared using an extended taxonomy to outline their characteristics and their fitness for use for IoT.
Journal ArticleDOI
Web-Based Management of the Internet of Things
TL;DR: The IoT system presented here seamlessly integrates virtual and physical worlds to efficiently manage things of interest (TOIs), where services and resources offered by things easily can be monitored, visualized, and aggregated for value-added services by users.
Journal Article
On Big Data Stream Processing
TL;DR: The basic elements behind data streams processing, the existing technical solutions for their implementations as well some prospect system architectures are discussed.
Dissertation
Designing cross-domain semantic web of things applications
TL;DR: The Machine-to-Machine Measurement (M3) framework is designed, consisting in generating templates to easily build Semantic Web of Things applications, semantically annotating IoT data to infer high-level knowledge by reusing as much as possible the domain knowledge expertise, and a semantic-based security application to assist users in designing secure IoT applications.
Proceedings ArticleDOI
ConTaaS: An Approach to Internet-Scale Contextualisation for Developing Efficient Internet of Things Applications
TL;DR: A Contextualisationas-a-Service (ConTaaS) architecture that incorporates scalability improving techniques, as well as a proof-ofconcept implementation of all these that utilises elastic cloud-based infrastructure to achieve near real-time contextualisation of IoT data are introduced.
References
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Journal ArticleDOI
The Internet of Things: A survey
TL;DR: This survey is directed to those who want to approach this complex discipline and contribute to its development, and finds that still major issues shall be faced by the research community.
Journal ArticleDOI
The internet of things: a survey
TL;DR: The definitions, architecture, fundamental technologies, and applications of IoT are systematically reviewed and the major challenges which need addressing by the research community and corresponding potential solutions are investigated.
Proceedings Article
Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!).
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert Gruber +8 more
TL;DR: Bigtable as mentioned in this paper is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers, including web indexing, Google Earth and Google Finance.
Proceedings ArticleDOI
Dynamo: amazon's highly available key-value store
Giuseppe deCandia,Deniz Hastorun,Madan Mohan Rao Jampani,Gunavardhan Kakulapati,Avinash Lakshman,Alex Pilchin,Swaminathan Sivasubramanian,Peter Sven Vosshall,Werner Vogels +8 more
TL;DR: D Dynamo is presented, a highly available key-value storage system that some of Amazon's core services use to provide an "always-on" experience and makes extensive use of object versioning and application-assisted conflict resolution in a manner that provides a novel interface for developers to use.
Proceedings ArticleDOI
Earthquake shakes Twitter users: real-time event detection by social sensors
TL;DR: This paper investigates the real-time interaction of events such as earthquakes in Twitter and proposes an algorithm to monitor tweets and to detect a target event and produces a probabilistic spatiotemporal model for the target event that can find the center and the trajectory of the event location.