Grounding ecologies on multiple spaces

Tisato, Francesco; Simone, Carla; Bernini, Diego; Locatelli, Marco; Micucci, Daniela

doi:10.1016/j.pmcj.2011.10.005

Cited by 8 publications

(7 citation statements)

References 33 publications

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“…The concept of augmented ecologies [Tisato et al 2012] shares with SAPERE both the ecosystem inspiration and the idea of mapping components of a pervasive environment into a virtual ecosystem of organisms interacting in a spatial and context-dependent way. However, the augmented ecologies proposal does not aim at supporting some specific adaptive coordination model, leaving up to application components the duty of ruling their own coordination activities.…”

Section: Related Workmentioning

confidence: 99%

Engineering Pervasive Service Ecosystems

Castelli

Mamei

Rosi

et al. 2015

ACM Trans. Auton. Adapt. Syst.

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Emerging pervasive computing services will typically involve a large number of devices and service components cooperating together in an open and dynamic environment. This calls for suitable models and infrastructures promoting spontaneous, situated, and self-adaptive interactions between components. SAPERE (Self-Aware Pervasive Service Ecosystems) is a general coordination framework aimed at facilitating the decentralized and situated execution of self-organizing and self-adaptive pervasive computing services. SAPERE adopts a nature-inspired approach, in which pervasive services are modeled and deployed as autonomous individuals in an ecosystem of other services and devices, all of which interact in accord to a limited set of coordination laws, or eco-laws. In this article, we present the overall rationale underlying SAPERE and its reference architecture. We introduce the eco-laws-based coordination model and show how it can be used to express and easily enforce general-purpose self-organizing coordination patterns. The middleware infrastructure supporting the SAPERE model is presented and evaluated, and the overall advantages of SAPERE are discussed in the context of exemplary use cases.

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Section: Related Workmentioning

confidence: 99%

Engineering Pervasive Service Ecosystems

Castelli

Mamei

Rosi

et al. 2015

ACM Trans. Auton. Adapt. Syst.

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“…The presented spatial model relies on the model for ambient ecologies and smart environments proposed in [5] and [6], where a detailed formal definition of spatial concepts can be found.…”

Section: Conceptual Modelmentioning

confidence: 99%

“…It is organized according to a spatial model, which defines one or more types of locations, how locations are related in the space according to their types and some kind of metrics that can be applied to the locations of the space. Different spatial models may be exploited, for example graph-based, grid-based and name-based ones (see [5][6]).…”

Section: Spaces Of Thingsmentioning

confidence: 99%

“…It routes and dispatches events according to the spaces-based extension of the connectionless publish/subscribe paradigm proposed in [5] [6], which is briefly summarized in the following.…”

Section: B Events Management (Em)mentioning

confidence: 99%

“…EXAMPLE IMPLEMENTATION This section sketches an experimental implementation of the reference example introduced in Section II. The core functionalities of SMM and EM are exposed as Web services by a platform called Space Integrations Services (SIS) [5][6]. Parcels, TransitSensors, ProxySensors, Tags, Vehicles and Warehouses are name spaces that model unique identifiers of domain objects.…”

Section: B Events Management (Em)mentioning

confidence: 99%

See 2 more Smart Citations

From Internet of Things to Spaces of Things

Bernini

Tisato

2012

2012 IEEE International Conference on Green Computing and Communications

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The Internet of Things (IoT) paradigm focuses on a network of objects, where devices communicate with human beings as well as other devices. This paper focuses on the identification of suitable metaphors and concepts for building IoT applications. It proposes an approach grounded on the contextualization of objects and their information in one or more spaces of things, defined according to different physical and logical spatial models. The approach promotes the seamless integration and interaction of heterogeneous components. The paper presents the conceptual model, the related software architecture and an experimental application in the logistics domain.

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