CARMiCLOC: Context Awareness Middleware in Cloud Computing

Abstract

Technological advances such as miniaturization of sensors, mobile devices and increased computational capabilities have given way to Context Aware Applications (ACC), which constantly monitor and change depending on the context. These applications require a variety of features and services, particularly on the management of context. When applications/services lack part or some of these services, they must be consumed from other suppliers who can provide them via a middleware. In addition, due to the changes undergone by the context mean that such services consumed by the ACC must be dynamic; and due to the amount of data involved to define the context, it may require more computation capacity than that provided by a mobile device. For these reason it is necessary the use of the Cloud. In this way, to support these requirements is proposed CARMiCLOC (Context Awareness in Reflective Middleware Cloud Computing), a web-service based middleware, which can behave as a SaaS (Software as a Service) or as a PaaS (Platform as a Service).

Linked data and dialetheic logic for localization-aware applications

“…CARMiCLOC is a reflective Middleware [1], which incorporates the autonomic computing for the self-adaptation, and the cloud computing paradigm for a SaaS (Software as a service) behavior, to provide services and functionalities that allow managing the context for CAA. This middleware is divided into two levels: the base level corresponds to the users and applications that are in the shared context.…”

“…Nowadays, technological advances in computing capacities, and especially in sensors and mobile devices, have allowed the development of applications with behaviors that depend on the context. These Context-Aware Applications (CAAs) constantly monitor and react in different ways, to adapt to the situation in which they are [1,2]. Particularly, micro-localization applications have appeared as a type of CAA for mobile devices [2,4].…”

“…The first layer is divided in three components: the Internal context about the user, the External context about the environment, and the border context with the interactions between these contexts. CAMeOnto is used by CARMiCLOC, a reflective middleware for context-aware applications [1]. This paper proposes to extend CAMeOn, with linked data and Dialetheic logic paradigms, to enrich the contextualization service, which manage the uncertainty, for micro-localization applications.…”

Fog computing for the integration of agents and web services in an autonomic reflexive middleware

“…This information is managed in a cycle that is composed by the discovering and modeling of the context, the reasoning based on the context, and the distribution of the context. For this layer, we take as reference the services defined in [36], where is proposed a Context-Aware Reflective Middleware based on the Cloud Computing, with a range of services to manage the context information (see [4] for details about this layer).…”

Contribution to the design, implementation and standardization of semantic middleware architectures for the Smart Grid

“…It was during that time that middleware for distributed systems was definitely established as the software entity capable of abstracting heterogeneity from an underlying collection of hardware devices in order to offer a set of homogenous, centralized-looking facilities (typically, an Application Programming Interface or API) to the application layer [16] [17]. Further developments, such as Cloud Computing, have made middleware a software entity of critical importance in the development of distributed systems [18] [19]. Figure 2 illustrates the typical location of middleware in the latter; due to this and how it is accessed by the application layer it effectively withholds the different (and quite often, opposite) hardware components present in a deployment, as well as their local firmware and operating systems.…”