2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) 2017
DOI: 10.1109/cloudcom.2017.35
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PATH2iot: A Holistic, Distributed Stream Processing System

Abstract: 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 … Show more

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Cited by 11 publications
(16 citation statements)
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References 23 publications
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“…The optimization techniques proposed by [19,20] determines appropriate computing resource selection for meeting the QoS requirements of IoT applications. Related computing frameworks and tools, such as [21], [22] and [23], have employed similar techniques to manage the distribution of TS-IoT applications while a QoS simulation-based tool for IoT applications. [24] proposed a recommender system for dealing with the heterogeneity of cloud computing resources…”
Section: Related Workmentioning
confidence: 99%
“…The optimization techniques proposed by [19,20] determines appropriate computing resource selection for meeting the QoS requirements of IoT applications. Related computing frameworks and tools, such as [21], [22] and [23], have employed similar techniques to manage the distribution of TS-IoT applications while a QoS simulation-based tool for IoT applications. [24] proposed a recommender system for dealing with the heterogeneity of cloud computing resources…”
Section: Related Workmentioning
confidence: 99%
“…The IoT device generates the data based on the defined data rate. Research shows that the battery drainage rate for transmission is higher than computation …”
Section: Iotsim‐edge Evaluationmentioning
confidence: 95%
“…Following the work in Reference , in which the activity data are partitioned into multiple microoperations, we also realized the same scenario. To process the raw data using step count algorithm, we model each microoperation as an MEL that can be processed by underlying IoT or edge devices.…”
Section: Iotsim‐edge Evaluationmentioning
confidence: 99%
“…These queries are parsed and decomposed into a Directed Acyclic Graph that is subject to logical and physical optimisation [4], [5] to find the deployment option that best satisfies key non-functional requirements, including Energy, Bandwidth and Cost. To determine the best plan, cost models, such as those for the energy consumption of IoT devices, are integrated within the system so that alternatives can be quantitatively compared [6]. Following this, the software is then automatically deployed.…”
Section: Time Series Modelling and Stream Analyticsmentioning
confidence: 99%