TIME: An Open Platform for Capturing, Processing and Delivering Transport-Related Data

Bacon, Jean; Beresford, Alastair R.; Evans, David; Ingram, D.G.W.; Trigoni, Niki; Guitton, Alexandre; Skordylis, Antonios

doi:10.1109/ccnc08.2007.158

Cited by 27 publications

(15 citation statements)

References 7 publications

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“…The system we study is an event-based traffic monitoring application based on results of the TIME project (Transport Information Monitoring Environment) [11] at the University of Cambridge. It consists of several components emitting and consuming different types of events.…”

Section: Case Studymentioning

confidence: 99%

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Capacity planning for event-based systems using automated performance predictions

Rathfelder

Kounev

Evans

2011

2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011)

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Event-based communication is used in different domains including telecommunications, transportation, and business information systems to build scalable distributed systems. The loose coupling of components in such systems makes it easy to vary the deployment. At the same time, the complexity to estimate the behavior and performance of the whole system is increased, which complicates capacity planning. In this paper, we present an automated performance prediction method supporting capacity planning for event-based systems. The performance prediction is based on an extended version of the Palladio Component Model -a performance meta-model for componentbased systems. We apply this method on a real-world case study of a traffic monitoring system. In addition to the application of our performance prediction techniques for capacity planning, we evaluate the prediction results against measurements in the context of the case study. The results demonstrate the practicality and effectiveness of the proposed approach.

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Section: Case Studymentioning

confidence: 99%

“…We present a novel case study of a real-life traffic monitoring system based on the results of the TIME project (Transport Information Monitoring Environment) [11] at the University of Cambridge. We conducted capacity planning for different evolution stages of the system.…”

Section: Introductionmentioning

confidence: 99%

Capacity planning for event-based systems using automated performance predictions

Rathfelder

Kounev

Evans

2011

2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011)

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“…Environmental monitoring: Traffic, noise, pollution, and weather conditions are monitored in a city to provide real-time information for citizens [1]. All data is recorded for historical analysis to aid prediction and for use by Local Government for planning purposes.…”

Section: Healthcare Systemsmentioning

confidence: 99%

Access control in publish/subscribe systems

Bacon

Eyers

Singh

et al. 2008

Proceedings of the Second International Conference on Distributed Event-Based Systems

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Two convincing paradigms have emerged for achieving scalability in widely distributed systems: publish/subscribe communication and role-based, policy-driven control of access to the system by applications. A strength of publish/ subscribe is its many-to-many communication paradigm and loose coupling of components, so that publishers need not know the recipients of their data and subscribers need not know the number and location of publishers. But some data is sensitive, and its visibility must be controlled carefully for personal and legal reasons. We describe the requirements of several application domains where the event-based paradigm is appropriate yet where security is an issue. Typical are the large-scale systems required by government and public bodies for domains such as healthcare, police, transport and environmental monitoring.We discuss how a publish/subscribe service can be secured; firstly by specifying and enforcing access control policy at the service API, and secondly by enforcing the security and privacy aspects of these policies within the service network itself. Finally, we describe an alternative to whole-message encryption, appropriate for highly sensitive and long-lived data destined for specific domains with varied requirements. We outline our investigations and findings from several research projects in these areas.

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“…The system we study is developed within the TIME project (Transport Information Monitoring Environment) [2] at the University of Cambridge. The system is based on a novel component-based middleware called SBUS (Stream BUS) [12] which supports peer-to-peer event-based communication including both continuous streams of data (e.g., from sensors), asynchronous events, and synchronous RPC.…”

Section: Case Studymentioning

confidence: 99%

Integration of event-based communication in the palladio software quality prediction framework

Klatt

Rathfelder

Kounev

2011

Proceedings of the Joint ACM SIGSOFT Conference -- QoSA and ACM SIGSOFT Symposium -- ISARCS on Quality of Software Architecture

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Today, software engineering is challenged to handle more and more large-scale distributed systems with guaranteed quality-of-service. Component-based architectures have been established to build such systems in a more structured and manageable way. Modern architectures often utilize eventbased communication which enables loosely-coupled interactions between components and leads to improved system scalability. However, the loose coupling of components makes it challenging to model such architectures in order to predict their quality properties, e.g., performance and reliability, at system design time. In this paper, we present an extension of the Palladio Component Model (PCM) and the Palladio software quality prediction framework, enabling the modeling of event-based communication in component-based architectures. The contributions include: i) a meta-model extension supporting events as first class entities, ii) a modeto-model transformation from the extended to the original PCM, iii) an integration of the transformation into the Palladio tool chain allowing to use existing model solution techniques, and iv) a detailed evaluation of the reduction of the modeling effort enabled by the transformation in the context of a real-world case study.

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TIME: An Open Platform for Capturing, Processing and Delivering Transport-Related Data

Cited by 27 publications

References 7 publications

Capacity planning for event-based systems using automated performance predictions

Capacity planning for event-based systems using automated performance predictions

Access control in publish/subscribe systems

Integration of event-based communication in the palladio software quality prediction framework

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