The changing role of pervasive middleware: From discovery and orchestration to recommendation and planning

Castelli, Gabriella; Mamei, Marco; Zambonelli, Franco

doi:10.1109/percomw.2011.5766872

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…The provision of a similar concept in CPS to encapsulate sensors and actuators is a desirable design principle (CAPORUSCIO et al, 2012;CASTELLI et al, 2011;SASSI et al, 2014;THOMA et al, 2014;ZHANG et al, 2014b). The idea is to uniquely identify reachable sensors and actuators, which are activated, and how the system should proceed to gain access to these resources.…”

Section: Abstractions To Describe Discover and Access Resourcesmentioning

confidence: 99%

System Support for Self-Adaptive Cyber-Physical Systems

Maia

Andrade

2015

2015 International Conference on Distributed Computing in Sensor Systems

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Dispositivos com capacidade de processamento e comunicação estão cada vez mais embutidos no ambiente físico, gerando informações sobre os usuários e suas interações com o ambiente. Essa proximidade entre usuários, objetos do mundo físico e serviços está permitindo o aparecimento dos sistemas cyber-físicos (Cyber-Physical Systems -CPS). Neles, a quantidade de dispositivos cresce muito rapidamente e mecanismos que permitam a gerência das interações entre eles são necessários. Assim, essa tese de doutorado propõe um middleware, chamado CyberSupport, que fornece um suporte para o desenvolvimento e execução baseado em camadas de software auto-adaptáveis para CPS. O CyberSupport possui na sua camada mais inferior mecanismos para permitir a comunicação e coordenação entre os diversos dispositivos que formam CPS. A principal contribuição dessa camada está relacionada com as interações entre dispositivos de forma desacoplada e auto-adaptativa. Na camada superior, primitivas de execução fornecem acesso aos recursos do ambiente através de interfaces bem definidas, com especial atenção para facilitar a adaptação do funcionamento da aplicação e do CyberSupport. Essas interfaces são utilizadas para a criação de sistemas auto-adaptativos para CPS. O CyberSupport foi avaliado utilizando métricas de desempenho em dispositivos reais, e também métricas de qualidade de código, comparando aplicações desenvolvidas com e sem o CyberSupport. As métricas de desempenho avaliaram 5 algoritmos de roteamento e 5 tecnologias de comunicação desenvolvidos utilizando o CyberSupport, de acordo com o tempo médio de entrega de uma mensagem, a quantidade total de mensagens entregues e a taxa de perda de mensagens. Já as métricas de qualidade de código compararam 3 aplicações desenvolvidas com e sem o CyberSupport, de acordo com métricas de acoplamento de código. Os resultados mostraram uma redução de 3% no acoplamento de código quando o CyberSupport é utilizado.

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Section: Abstractions To Describe Discover and Access Resourcesmentioning

confidence: 99%

System Support for Self-Adaptive Cyber-Physical Systems

Maia

Andrade

2015

2015 International Conference on Distributed Computing in Sensor Systems

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“…Data should be packed in efficient structures, and routed via peer exchanges. A middleware architecture can be harnessed to reach these goals, and thus to support the purpose of the coordination framework, which is expected to become active supporter of agents interactions and facilitator of information propagation [17].…”

Section: Infrastructural Requirementsmentioning

confidence: 99%

Towards a general infrastructure for location-based smart mobility services

Sassi

Mamei

Zambonelli

2014

2014 International Conference on High Performance Computing &Amp; Simulation (HPCS)

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Penetration of smart phones and localization technologies are enabling a variety of smart location-based social mobility services that can notably improve the quality life of citizens on the go. Most existing solutions are shaped from a specific set of data sources processed through predefined computational flows to provide a specific class of services, and rarely strive for generality and urban-scale goals. The contribution of this paper is to presents an architectural model for a general-purpose distributed coordination infrastructure to support the dynamic composition of a variety of smart social mobility services, by focusing on the coordination of the agents involved to address both individual mobility needs and urban-scale mobility issues. Following, it analyzes the key requirements that the implementation of such infrastructure should satisfy. Finally, to exemplify, we show how the framework can be applied to a urban ride-sharing service.

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“…To dominate the complex, heterogeneous, and dynamic collaboration patterns of the emerging scenarios, the role of middleware in supporting collaboration should change. In particular, such role should somehow shift from that of simply supporting service discovery, context-awareness, and orchestration, to that of acting as: (i) recommendation engine -to proactively support applications in finding or recruiting on need (among a multitude) the services/capabilities they need to operate, independently of their actual human or ICT nature; (ii) dynamic planner, to dynamically establish the most appropriate collaboration patterns depending on the current situation and on the nature, characteristics, and constraints of the available services [6]. All of which also with embedding the necessary mechanisms to support the resulting interactions patterns in an effective and secure way, and flexibly accounting for the peculiar privacy issues that emerge in these scenarios.…”

Section: Diversity In Collaborationmentioning

confidence: 99%

Pervasive urban crowdsourcing: Visions and challenges

Zambonelli

2011

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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Pervasive computing technologies can enable very flexible situated collaboration patterns among citizens and, via crowdsourcing, can promote a participatory way of contributing to the wealth and quality of life of our urban environments. This position paper firstly sketches a future vision of pervasive computing rich and crowdsourcing-enabled urban environments. Then, it presents several case studies showing how such environments can be of great use and highly impactful from both the individual and societal viewpoint. Finally, it discusses several open research challenges to be faced for these ideas to become reality.

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The changing role of pervasive middleware: From discovery and orchestration to recommendation and planning

Abstract: Abstract

Cited by 8 publications

References 26 publications

System Support for Self-Adaptive Cyber-Physical Systems

System Support for Self-Adaptive Cyber-Physical Systems

Towards a general infrastructure for location-based smart mobility services

Pervasive urban crowdsourcing: Visions and challenges

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