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Coordinating Spatially-Situated Pervasive Service Ecosystems
"... Abstract—Technology evolution is providing new pervasive service scenarios characterised by a huge number of distributed and dynamic devices. Accordingly, a new generation of services and infrastructures are emerging which support situatedness, adaptivity and diversity. In this paper we model the ov ..."
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Abstract—Technology evolution is providing new pervasive service scenarios characterised by a huge number of distributed and dynamic devices. Accordingly, a new generation of services and infrastructures are emerging which support situatedness, adaptivity and diversity. In this paper we model the overall world of services, data and devices, as a distributed computational ecosystem. Each entity will be modelled as an autonomous, spatially-situated individual of the ecosystem, whose existence is reified by an LSA (Live Semantic Annotation). Ecosystem’s behaviour is controlled by coordination rules called eco-laws, which are sort of chemical-like reactions evolving the population of LSAs. We describe an architecture supporting this vision, a formal model of eco-laws, and finally show their usefulness in a scenario of crowd steering through pervasive displays. I.
A Simulation Framework for Pervasive Services
"... Abstract—This paper grounds on the SAPERE project (Self-Aware PERvasive Service Ecosystems), which aims at proposing a multi-agent framework for pervasive computing, based on the idea of making each agent (service, device, human) manifest its existence in the ecosystem by a Live Semantic Annotation ..."
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Abstract—This paper grounds on the SAPERE project (Self-Aware PERvasive Service Ecosystems), which aims at proposing a multi-agent framework for pervasive computing, based on the idea of making each agent (service, device, human) manifest its existence in the ecosystem by a Live Semantic Annotation (LSA), and of coordinating agent activities by a small and fixed set of so-called eco-laws—sort of chemical-like reactions over patterns of LSAs. System dynamics in SAPERE is complex because of opennes and due to the self- * requirements imposed by the pervasive computing setting: a simulation framework is hence needed for what-if analysis prior to deployment. In this paper we present a prototype simulator we are developing, tested on a crowd steering scenario. Due to the role of chemical-like dynamics, this is based on a variation of an existing SSA (Stochastic Simulation Algorithm), suitable tailored to the specific features of SAPERE, including dynamicity of network topology, pattern-based application of eco-laws, and temporal triggers. I.
Tasking Wireless Sensor Nodes in the Internet of Things
"... Abstract. The increasing ubiquity and diversity in the resources and function-alities of the devices of the Internet of things claims the need for (1) a device-independent abstraction layer to expose (and consume) device capabilities as ser-vices on the network and the need for (2) mechanisms to cus ..."
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Abstract. The increasing ubiquity and diversity in the resources and function-alities of the devices of the Internet of things claims the need for (1) a device-independent abstraction layer to expose (and consume) device capabilities as ser-vices on the network and the need for (2) mechanisms to customize the behaviour of the devices to fulfill new or additional operations. After reviewing state of the art solutions for the dynamic deployment of tasks in WSN, we lay the basis for the extension of the WSN-SOA [1] stack to support the dynamic deployment of service-oriented tasks. 1
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"... Abstract—The increasing ubiquity and diversity in the re-sources and functionalities of the devices of the Internet of things claims the need for (1) a device-independent abstraction layer to expose (and consume) device capabilities as services on the network and the need for (2) mechanisms to custo ..."
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Abstract—The increasing ubiquity and diversity in the re-sources and functionalities of the devices of the Internet of things claims the need for (1) a device-independent abstraction layer to expose (and consume) device capabilities as services on the network and the need for (2) mechanisms to customize the behaviour of the devices to fulfill new or additional operations in collaboration with one another. To this end, this paper presents the extension of the WSN-SOA [1] stack to support efficiently the dynamic deployment of service-oriented collaborative tasks in networks of tiny sensor motes such as MicaZ. I.
DARMA: Adaptable Service and Resource Management for Wireless Sensor Networks
"... This paper argues that service oriented architectures provide a good mechanism for managing outside interaction with software resources on wireless sensor networks. Specifically, this paper introduces a lightweight service platform designed to meet the specific characteristics of wireless sensor net ..."
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This paper argues that service oriented architectures provide a good mechanism for managing outside interaction with software resources on wireless sensor networks. Specifically, this paper introduces a lightweight service platform designed to meet the specific characteristics of wireless sensor networks. The proposed architecture provides lightweight, yet flexible service-level agreements, together with adaptive management of sensor network resources. Critically for resource constrained sensor networks, our framework ensures that services are shared in an optimal manner between multiple client applications, while providing autonomic mechanisms to reason about fault tolerance and optimization. Furthermore, our approach actively promotes point of action processing which provides significant benefits in both embedded and enterprise deployments. We illustrate the appropriateness of the proposed architecture through a prototype implementation and evaluation using the LooCI component model and the SunSPOT platform.
Situation-Aware Adaptive Service Provisioning for Wireless Sensor Networks
"... Wireless sensor networks (WSNs) present a chal-lenging programming environment because of their limited resources, heterogeneity, and highly dynamic nature. Service-oriented computing can simplify ap-plication development by hiding platform-specific ca-pabilities behind services. These services are ..."
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Wireless sensor networks (WSNs) present a chal-lenging programming environment because of their limited resources, heterogeneity, and highly dynamic nature. Service-oriented computing can simplify ap-plication development by hiding platform-specific ca-pabilities behind services. These services are dynam-ically discovered and used at run-time, enabling ap-plications to be platform-independent and adapt to network dynamics. While service-oriented computing is widely used on the Internet, adopting it to WSNs is non-trivial due to the extremely limited resources available. The selection of which service provider to use and how to adapt as providers change significantly impacts application and network performance. This paper describes how service provisioning in WSNs can adapt to application and network dynamics. Several strategies for achieving higher energy efficiency and more predictable quality of service are presented. 1
Journal of Internet Services and Applications manuscript No. (will be inserted by the editor) R&D Challenges and Solutions for Mobile Cyber-Physical Applications and Supporting Internet Services
"... the date of receipt and acceptance should be inserted later Abstract New and planned mobile Internet devices, such as Apple’s iPhone and Motorola’s Droid, have powerful processors and a variety of sensors that can be leveraged to build cyber-physical applications that collect sensor data from the re ..."
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the date of receipt and acceptance should be inserted later Abstract New and planned mobile Internet devices, such as Apple’s iPhone and Motorola’s Droid, have powerful processors and a variety of sensors that can be leveraged to build cyber-physical applications that collect sensor data from the real world and communicate it back to Internet services for processing and aggregation. This paper presents a sampling of key R&D challenges facing developers of mobile cyber-physical applications that integrate with Internet services and summarizes emerging solutions that address these challenges. For example, application software should be architected to conserve power, which motivates R&D on tools that can predict the power consumption characteristics of an arbitrary mobile software architecture. Other R&D challenges involve the relative paucity of work on software and sensor data collection architectures that cater to the powerful capabilities and cyber-physical aspects of mobile Internet devices, which motivates R&D on architectures tailored to the latest mobile Internet devices.
