Abstract | ||
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Internet of Things (IoT) promises to bring ease of monitoring, better efficiency and innovative services across many domains with connected devices around us. With information from critical parts of infrastructure and powerful cloud-based data analytics, many applications can be developed to gain insights about IoT systems as well as transform their capabilities. Actuation applications form an essential part of these IoT systems, as they enable automation as well as fast low-level decision making. However, modern IoT systems are designed for data acquisition, and actuation applications are implemented in an ad-hoc manner. We identify modeling constraints in a systematic manner as indispensable to support actuation applications because constraints encompass high-level policies dictated by laws of physics, legal policies, user preferences. We explore data models for constraints inIoT system with the example of a home heating system and illustrate the challenges in enforcing these constraints in theIoT system architecture. |
Year | Venue | Field |
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2017 | arXiv: Systems and Control | Data modeling,Mathematical optimization,Heating system,Systems engineering,Data analysis,Data acquisition,Automation,Systems architecture,Engineering,Physical law,Embedded system,Cloud computing |
DocType | Volume | Citations |
Journal | abs/1701.01894 | 0 |
PageRank | References | Authors |
0.34 | 4 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bharathan Balaji | 1 | 344 | 30.74 |
Bradford Campbell | 2 | 72 | 8.98 |
Amit Levy | 3 | 299 | 18.71 |
Xiaozhou Li | 4 | 213 | 14.03 |
Addison Mayberry | 5 | 0 | 0.34 |
Nirupam Roy | 6 | 5 | 0.89 |
Vasuki Narasimha Swamy | 7 | 0 | 0.68 |
Longqi Yang | 8 | 0 | 2.70 |
Paramvir Bahl | 9 | 4152 | 361.91 |
Ranveer Chandra | 10 | 4089 | 268.00 |
Ratul Mahajan | 11 | 4735 | 322.35 |