The COMPOSE API for the internet of things

Pérez, Juan L.; Villalba, Álvaro; Carrera, David; Larizgoitia, Iker; Trifa, Vlad

doi:10.1145/2567948.2579226

Cited by 16 publications

(10 citation statements)

References 4 publications

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“…Only a few platforms do not have a REST API. This demonstrates that the current IoT services will tend to become more and more like traditional web services (i.e., Web of Things [8]). In particular, IoT service mashups and data analytics will be key integrators for the future of IoT technologies [9,10,4].…”

Section: Review Of Today's Iot Platformsmentioning

confidence: 99%

A gap analysis of Internet-of-Things platforms

Mineraud

Mazhelis

et al. 2016

Computer Communications

355

176

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We are experiencing an abundance of Internet-of-Things (IoT) middleware solutions that provide connectivity for sensors and actuators to the Internet. To gain a widespread adoption, these middleware solutions, referred to as platforms, have to meet the expectations of different players in the IoT ecosystem, including device providers, application developers, and end-users, among others. In this article, we evaluate a representative sample of these platforms, both proprietary and open-source, on the basis of their ability to meet the expectations of different IoT users. The evaluation is thus more focused on how ready and usable these platforms are for IoT ecosystem players, rather than on the peculiarities of the underlying technological layers. The evaluation is carried out as a gap analysis of the current IoT landscape with respect to (i) the support for heterogeneous sensing and actuating technologies, (ii) the data ownership and its implications for security and privacy, (iii) data processing and data sharing capabilities, (iv) the support offered to application developers, (v) the completeness of an IoT ecosystem, and (vi) the availability of dedicated IoT marketplaces. The gap analysis aims to highlight the deficiencies of today's solutions to improve their integration to tomorrow's ecosystems. In order to strengthen the finding of our analysis, we conducted a survey among the partners of the Finnish IoT program, counting over 350 experts, to evaluate the most critical issues for the development of future IoT platforms. Based on the results of our analysis and our survey, we conclude this article with a list of recommendations for extending these IoT platforms in order to fill in the gaps.Comment: 15 pages, 4 figures, 3 tables, Accepted for publication in Computer Communications, special issue on the Internet of Things: Research challenges and solution

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Section: Review Of Today's Iot Platformsmentioning

confidence: 99%

A gap analysis of Internet-of-Things platforms

Mineraud

Mazhelis

et al. 2016

Computer Communications

355

176

View full text Add to dashboard Cite

show abstract

“…Similarly, Corredor et al presented a lightweight WoT open platform for healthcare services [9]. Pérez et al introduced the COMPOSE API that allows things, users, and platforms to communicate [10]. REST API-based IoT platforms have also been studied for big data and environmental monitoring [11,12].…”

Section: Related Workmentioning

confidence: 99%

From WSN towards WoT: Open API Scheme Based on oneM2M Platforms

Kim

Choi

Ahn

et al. 2016

Sensors

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Conventional computing systems have been able to be integrated into daily objects and connected to each other due to advances in computing and network technologies, such as wireless sensor networks (WSNs), forming a global network infrastructure, called the Internet of Things (IoT). To support the interconnection and interoperability between heterogeneous IoT systems, the availability of standardized, open application programming interfaces (APIs) is one of the key features of common software platforms for IoT devices, gateways, and servers. In this paper, we present a standardized way of extending previously-existing WSNs towards IoT systems, building the world of the Web of Things (WoT). Based on the oneM2M software platforms developed in the previous project, we introduce a well-designed open API scheme and device-specific thing adaptation software (TAS) enabling WSN elements, such as a wireless sensor node, to be accessed in a standardized way on a global scale. Three pilot services are implemented (i.e., a WiFi-enabled smart flowerpot, voice-based control for ZigBee-connected home appliances, and WiFi-connected AR.Drone control) to demonstrate the practical usability of the open API scheme and TAS modules. Full details on the method of integrating WSN elements into three example systems are described at the programming code level, which is expected to help future researchers in integrating their WSN systems in IoT platforms, such as oneM2M. We hope that the flexibly-deployable, easily-reusable common open API scheme and TAS-based integration method working with the oneM2M platforms will help the conventional WSNs in diverse industries evolve into the emerging WoT solutions.

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“…Table I contains a summary of the operations implemented in the REST API. A more detailed description can be found in [13] as well as online 4 .…”

Section: Apimentioning

confidence: 99%

Performance Characterization of the Servioticy API: An IoT-as-a-Service Data Management Platform

Pérez

Carrera

2015

2015 IEEE First International Conference on Big Data Computing Service and Applications

Self Cite

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In the last years, Internet of Things (IoT) and Big Data platforms are clearly converging in terms of technologies, problems and approaches. IoT workloads generate a vast amount of data that needs to be stored and processed, becoming a Big Data problem. IoT devices and sensors generate streams of data across a diversity of locations and protocols that in the end reach a central platform that is used to store and process these streams. Processing can be done in real time, with transformations and enrichment happening on-the-fly, but it can also happen after data is stored and organized in repositories. In the former case, stream processing technologies are required to operate on the data; in the latter analytics and queries are of common use. This paper presents a detailed characterization of the servIoTicy platform: a state-of-the-art infrastructure for hosting Internet of Things (IoT) workloads in the Cloud. It provides multi-tenant data stream processing capabilities, a REST API, data analytics, advanced queries and multi-protocol support in a combination of advanced data-centric technologies. The deployment of such a complex platform in the cloud requires a detailed understanding of all these components and tiers to allow for auto-scaling and dynamic provisioning capabilities. This paper aims to provide this initial characterization to be the basis for advanced cloud provisioning strategies and algorithms.

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The COMPOSE API for the internet of things

Cited by 16 publications

References 4 publications

A gap analysis of Internet-of-Things platforms

A gap analysis of Internet-of-Things platforms

From WSN towards WoT: Open API Scheme Based on oneM2M Platforms

Performance Characterization of the Servioticy API: An IoT-as-a-Service Data Management Platform

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