A mobile computing middleware for location- and context-aware internet data services

Author:

Bellavista Paolo1,Corradi Antonio1,Montanari Rebecca1,Stefanelli Cesare2

Affiliation:

1. Università di Bologna, Italy

2. Università di Ferrara, Italy

Abstract

The widespread diffusion of mobile computing calls for novel services capable of providing results that depend on both the current physical position of users (location) and the logical set of accessible resources, subscribed services, preferences, and requirements (context). Leaving the burden of location/context management to applications complicates service design and development. In addition, traditional middleware solutions tend to hide location/context visibility to the application level and are not suitable for supporting novel adaptive services for mobile computing scenarios. The article proposes a flexible middleware for the development and deployment of location/context-aware services for heterogeneous data access in the Internet. A primary design choice is to exploit a high-level policy framework to simplify the specification of services that the middleware dynamically adapts to the client location/context. In addition, the middleware adopts the mobile agent technology to effectively support autonomous, asynchronous, and local access to data resources, and is particularly suitable for temporarily disconnected clients. The article also presents the case study of a museum guide assistant service that provides visitors with location/context-dependent artistic data. The case study points out the flexibility and usability of the proposed middleware that permits automatic service reconfiguration with no impact on the implementation of the application logic.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Contextualizing Information Needs of Patients with Chronic Conditions Using Smartphones;Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18;2018

2. An Approach for Cloud-Based Situational Analysis for Factories Providing Real-Time Reconfiguration Services;Collaboration in a Data-Rich World;2017

3. Context-aware recommender for mobile learners;Human-centric Computing and Information Sciences;2014-08-16

4. Adaptive Context Dissemination in Heterogeneous Environments;IEEE Transactions on Mobile Computing;2014-06

5. Solutions for Security in Mobile Agent System;Proceedings of International Conference on Internet Computing and Information Communications;2013-09-24

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