Sensor Web Interaction

O’Hare, Gregory M. P.; Muldoon, Conor; O’Grady, Michael J.; Collier, Rem W.; Murdoch, Olga; Carr, Dominic

doi:10.1142/s0218213012400064

Cited by 24 publications

(7 citation statements)

References 17 publications

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“…Interner of Things is huge in many aspects, so security at the API level can be beneficial for Intranet HPC clusters together with sensing things on the Internet, therefore imposing security restrictions. The JCL can also apply security policies when a JCL‐Host starts, so it also works without explicit API calls, similar to several solutions in the literature …”

Section: Jcl Middleware Proposal and Evaluationmentioning

confidence: 99%

“…Some of the evaluated IoT middlewares provide easy deployment in different ways. VIRTUS and SIXTH use the Open Services Gateway Initiative (OSGi) to partition the application into modules. They install or remove the modules dynamically, whereas X‐GSN and C‐MOSDEN have similar strategies using XML files and are the IoT alternatives with the easiest deployment.…”

Section: Related Workmentioning

confidence: 99%

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A middleware solution for integrating and exploring IoT and HPC capabilities

et al. 2018

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Even with the considerable advances in the development of middleware solutions, there is still a substantial gap in Internet of Things (IoT) and highperformance computing (HPC) integration. It is not possible to expose services such as processing, storage, sensing, security, context awareness, and actuating in a unified manner with the existing middleware solutions. The consequence is the utilization of several solutions with their particularities, thus requiring different skills. Besides that, the users have to solve the integration and all heterogeneity issues. To reduce the gap between IoT and HPC technologies, we present the JavaCá&Lá (JCL), a middleware used to help the implementation of distributed user-applications classified as IoT-HPC. This ubiquity is possible because JCL incorporates (1) a single application programming interface to program different device categories; (2) the support for different programming models; (3) the interoperability of sensing, processing, storage, and actuating services; (4) the integration with MQTT technology; and (5) security, context awareness, and actions services introduced through JCL application programming interface. Experimental evaluations demonstrated that JCL scales when doing the IoT-HPC services. Additionally, we identify that customized JCL deployments become an alternative when Java-Android and vice-versa code conversion is necessary. The MQTT brokers usually are faster than JCL HashMap sensing storage, but they do not perform distributed, so they cannot handle a huge amount of sensing data. Finally, a short example for monitoring moving objects exemplifies JCL facilities for IoT-HPC development. KEYWORDShigh-performance computing, Internet of Things, middleware 584 Big data, 1 Internet of Things (IoT), 2 and elastic cloud services 3 are technologies that provide this new decentralized, dynamic, and communication-intensive society. According to El Baz et al, 4 the demand of integration of Internet of Things (IoT) and high-performance computing (HPC) exists, and it will increase soon motivated by different applications, like smart buildings, smart cities, or smart logistics. In the work of McKee et al, 5 it used the concept Internet of Simulation as an IoT extension, so the authors advocated that HPC, cloud, edge, 6 and fog 7 computing is not enough for smart cities demands. In summary, these new applications are requiring both alternatives (IoT and HPC, for instance) in a single middleware solution, but the integration imposes new challenges related with heterogeneity because both technologies must communicate and operate together. Other challenges related to fundamental IoT and HPC requirements, like deployment, code refactoring, performance, scheduling, and fault tolerance, are also important and hard to be solved when integration is mandatory. We understand that fog and edge computing are decentralizing cloud services even more to reduce data transfer latency, but without evidence of IoT services support, thus no integration is achieved while using these ...

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Section: Jcl Middleware Proposal and Evaluationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A middleware solution for integrating and exploring IoT and HPC capabilities

et al. 2018

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“…To illustrate the viability of a CSN, a pre-existing middleware platform for physical sensors, SIXTH [13], was extended. SIXTH is realised using the Open Gateway Initiative (OSGi) framework; extensibility and modularity are fundamental characteristics as is support for heterogeneous sensing platforms.…”

Section: A Designmentioning

confidence: 99%

The Cyber Sensor Network

O’Grady

Murdoch

Carr

et al. 2018

2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing,

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“…They treat all entities as equal citizens regardless of their origin, form or nature (O'Hare et al, 2012). While IoT enabled applications described in research tend to be 'local', such as smart spaces, Sensor Web researchers strive to solve 'global' problems such as environmental monitoring and early warning systems.…”

Section: Ubiquitous Computingmentioning

confidence: 99%