Model-driven SOA for sensor networks

Ibbotson, John; Gibson, Christopher C.; Geyik, Sahin Cem; Szymanski, Boleslaw K.; Mott, David; Braines, David; Klapiscak, Tom; Bergamaschi, Flávio

doi:10.1117/12.884140

Cited by 3 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main focus of the field trial was the integration of diverse sensor and system assets across a lightweight messaging infrastructure [6], and the CE environment was integrated into a number of these sensors through conversion and consumption of data from them. About 20 different information formats were processed into CE from a variety of structured formats including JSON, XML and CSV files.…”

Section: Agile Sensor Integrationmentioning

confidence: 99%

Controlled English to facilitate human/machine analytical processing

et al. 2013

Self Cite

View full text Add to dashboard Cite

Controlled English is a human-readable information representation format that is implemented using a restricted subset of the English language, but which is unambiguous and directly accessible by simple machine processes. We have been researching the capabilities of CE in a number of contexts, and exploring the degree to which a flexible and more human-friendly information representation format could aid the intelligence analyst in a multi-agent collaborative operational environment; especially in cases where the agents are a mixture of other human users and machine processes aimed at assisting the human users. CE itself is built upon a formal logic basis, but allows users to easily specify models for a domain of interest in a human-friendly language. In our research we have been developing an experimental component known as the "CE Store" in which CE information can be quickly and flexibly processed and shared between human and machine agents. The CE Store environment contains a number of specialized machine agents for common processing tasks and also supports execution of logical inference rules that can be defined in the same CE language. This paper outlines the basic architecture of this approach, discusses some of the example machine agents that have been developed, and provides some typical examples of the CE language and the way in which it has been used to support complex analytical tasks on synthetic data sources. We highlight the fusion of human and machine processing supported through the use of the CE language and CE Store environment, and show this environment with examples of highly dynamic extensions to the model(s) and integration between different user-defined models in a collaborative setting.

show abstract

Section: Agile Sensor Integrationmentioning

confidence: 99%

Controlled English to facilitate human/machine analytical processing

et al. 2013

Self Cite

View full text Add to dashboard Cite

show abstract

“…Other approaches such as those in [10,12,13] don't discuss agile software development but rather talk about (business) agility in SOA implementations. E.g.…”

Section: Related Workmentioning

confidence: 99%

“…E.g. [13] uses a definition of agile SOA which is more dynamic, flexible and responsive to change than traditional SOA.…”

Section: Related Workmentioning

confidence: 99%

Implementations of service oriented architecture and agile software development: What works and what are the challenges?

Schramm

Daneva

2016

2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)

View full text Add to dashboard Cite

Today many organizations use service-oriented architecture and agile software development as their software paradigms. While both certainly have their advantages, in the fields of Empirical Software Engineering and Information Systems these have been treated in relative isolation and their impact on each other is not well understood. This paper performs a grounded theory research by empirically analyzing professional blog posts published in IBM's Developerworks platform, to find good practices and common pitfalls of using a service-oriented architecture and agile software development together. The perspective taken in this study is the one of service-oriented architecture practitioners involved in agile projects. We found that continuous integration, collaboration, governance and continuous improvement are good practices that result out of merging the two paradigms. We found that the challenges of the joint use of serviceoriented architecture and agile lie in the engineering of non-functional requirements, compliance requirements as well as up-front architecture evaluation.

show abstract

A Fault Fuzzy-ontology for Large Scale Fault-tolerant Wireless Sensor Networks

Benazzouz

Aktouf

Parissis

2014

Procedia Computer Science

View full text Add to dashboard Cite

Fault tolerance is a key research area for many of applications such as those based on sensor network technologies. In a large scale wireless sensor network (WSN), it becomes important to find new methods for fault-tolerance that can meet new application requirements like Internet of things, urbane intelligence and observation systems. The challenge is beyond the limit of a single wireless sensor network and concerns multiple widely interconnected sub networks. The domain of fault grows considerably because of this new configuration. In this context, the paper proposes a fault fuzzy-ontology (FFO) for large scale WSNs to be used within a Web service architecture for diagnosis and testing.

show abstract

Model-driven SOA for sensor networks

Cited by 3 publications

References 1 publication

Controlled English to facilitate human/machine analytical processing

Controlled English to facilitate human/machine analytical processing

Implementations of service oriented architecture and agile software development: What works and what are the challenges?

A Fault Fuzzy-ontology for Large Scale Fault-tolerant Wireless Sensor Networks

Contact Info

Product

Resources

About