Implementing a sentient computing system

Addlesee, M.; Curwen, Rupert W.; Hodges, Steve; Newman, Joseph; Steggles, Pete; Ward, Andy; Hopper, Andy

doi:10.1109/2.940013

Cited by 382 publications

(229 citation statements)

References 9 publications

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“…This world model may help us not only in discovering the impacts of our activities on the world around us but also in optimizing our use of energy and other resources in the existing infrastructure (Addlesee et al 2001).…”

Section: The World Modelmentioning

confidence: 99%

Computing for the future of the planet

Hopper

Rice

2008

Phil. Trans. R. Soc. A.

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Digital technology is becoming an indispensable and crucial component of our lives, society and the environment. We present a framework for computing in the context of problems facing the planet. The framework has a number of goals: an optimal digital infrastructure, sensing and optimizing with a global world model, reliably predicting and reacting to our environment and providing digital alternatives to physical activities. This paper describes our vision in which data centres can scale power consumption in line with performance, run closer to the wire with reduced redundancy and behave as a 'virtual battery' dynamically using spare, or otherwise unusable, generation capacity from renewable sources. On a broader scale, we consider how global sensing might allow us to optimize our daily activities and lives. We highlight the issues and dilemmas inherent in the deployment of global sensing infrastructure and work towards our challenge of a personal energy meter as a tool for informing decisions and providing impetus for reducing the ecological footprint of our society.

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Section: The World Modelmentioning

confidence: 99%

Computing for the future of the planet

Hopper

Rice

2008

Phil. Trans. R. Soc. A.

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“…In an Active Office [5], primitive events might be 'The door opens' and 'Peter is seen in the room'. Similarly, 'The door opens, then Peter is seen in the room' could be a composite event.…”

Section: Composite Event Detection Frameworkmentioning

confidence: 99%

“…2). Workers wear Active Bats [5] to inform the building of their movements at least once a minute. Other sensors monitor doors, office temperatures, electronic whiteboard usage, and lighting.…”

Section: Application Scenario: the Active Officementioning

confidence: 99%

A Framework for Event Composition in Distributed Systems

Pietzuch

Shand

Bacon

2003

Lecture Notes in Computer Science

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Abstract. For large-scale distributed applications such as internet-wide or ubiquitous systems, event-based communication is an effective messaging mechanism between components. In order to handle the large volume of events in such systems, composite event detection enables application components to express interest in the occurrence of complex patterns of events. In this paper, we introduce a general composite event detection framework that can be added on top of existing middleware architectures -as demonstrated in our implementation over JMS. We argue that the framework is flexible, expressive, and easy to implement. Based on finite state automata extended with a rich time model and support for parameterisation, it provides a decomposable core language for composite event specification, so that composite event detection can be distributed throughout the system. We discuss the issues associated with automatic distribution of composite event expressions. Finally, tests of our composite event system over JMS show reduced bandwidth consumption and a low notification delay for composite events.

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“…At the network layer, [10] combines hop-to-hop routing based on handles with limited public-key cryptography to preserve privacy from eavesdroppers and traffic analyzers. At the architectural level, and in a manner similar to outdoor GPS [24], solutions such as Cricket [33] and Place Lab [36] protect a user's (private) location by having a user's carry-on device calculate its location based on a series of beacons from the infrastructure rather than having the infrastructure compute the location as in [42] and [8]. In contrast, we assume that the sensor might not have enough context and resources to compute observations nor it is the final recipient of information (i.e., it is the system who captures and interprets the information and applications, on behalf of their users, the recipients of information).…”

Section: Related Workmentioning

confidence: 99%

Middleware for Pervasive Spaces: Balancing Privacy and Utility

et al. 2009

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Abstract. Middleware for pervasive spaces has to meet conflicting requirements. It has to both maximize the utility of the information exposed and ensure that this information does not violate users' privacy. In order to resolve these conflicts, we propose a framework grounded in utility theory where users dynamically control the level of disclosure about their information. We begin by providing appropriate definitions of privacy and utility for the type of applications that would support collaborative work in an office environment-current definitions of privacy and anonymity do not apply in this context. We propose a distributed solution that, given a user's background knowledge, maximizes the utility of the information being disclosed to information recipients while meeting the privacy requirements of users. We implement our solution in the context of a real pervasive space middleware and provide experiments that demonstrate its behaviour.

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Implementing a sentient computing system

Cited by 382 publications

References 9 publications

Computing for the future of the planet

Computing for the future of the planet

A Framework for Event Composition in Distributed Systems

Middleware for Pervasive Spaces: Balancing Privacy and Utility

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