.png){kind=icon}
.png){kind=icon}
Return
PATH2iot: A Holistic, Distributed Stream Processing System
.png){kind=icon}
PRE
AI
DOI：10.1109/CloudCom.2017.35.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The PATH2iot open-source platform presents a new approach to stream processing for Internet of Things applications by automatically partitioning and deploying the computation over the available infrastructure (e.g. cloud, field gateways and sensors) in order to meet non-functional requirements including energy, performance and security. The user gives a high-level declarative description of computation in the form of Event Processing Language queries. These are compiled, optimised, and partitioned to meet the non-functional requirements using database system techniques and cost models extended to meet the needs of IoT analytics. The paper describes the PATH2iot system, illustrated by a real-world digital healthcare analytics example, with sensor battery life as the main non-functional requirement to be optimised. It shows that the tool can automatically partition and distribute the computation across a healthcare wearable, a mobile phone and the cloud-increasing the battery life of the smart watch by 453% when compared to other possible allocations. The PATH2iot system can therefore automatically bring the benefits of fog/edge computing to IoT applications.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
I
IF:
0
Papers:
5
Citations:
0