362,981 research outputs found

    A coordination protocol for user-customisable cloud policy monitoring

    Get PDF
    Cloud computing will see a increasing demand for end-user customisation and personalisation of multi-tenant cloud service offerings. Combined with an identified need to address QoS and governance aspects in cloud computing, a need to provide user-customised QoS and governance policy management and monitoring as part of an SLA management infrastructure for clouds arises. We propose a user-customisable policy definition solution that can be enforced in multi-tenant cloud offerings through an automated instrumentation and monitoring technique. We in particular allow service processes that are run by cloud and SaaS providers to be made policy-aware in a transparent way

    Collaborative Filtering-based Context-Aware Document-Clustering (CF-CAC) Technique

    Get PDF
    Document clustering is an intentional act that should reflect an individual\u27s preference with regard to the semantic coherency or relevant categorization of documents and should conform to the context of a target task under investigation. Thus, effective document clustering techniques need to take into account a user\u27s categorization context. In response, Yang & Wei (2007) propose a Context-Aware document Clustering (CAC) technique that takes into consideration a user\u27s categorization preference relevant to the context of a target task and subsequently generates a set of document clusters from this specific contextual perspective. However, the CAC technique encounters the problem of small-sized anchoring terms. To overcome this shortcoming, we extend the CAC technique and propose a Collaborative Filtering-based Context-Aware document-Clustering (CF-CAC) technique that considers not only a target user\u27s but also other users\u27 anchoring terms when approximating the categorization context of the target user. Our empirical evaluation results suggest that our proposed CF-CAC technique outperforms the CAC technique

    Mining user activity as a context source for search and retrieval

    Get PDF
    Nowadays in information retrieval it is generally accepted that if we can better understand the context of users then this could help the search process, either at indexing time by including more metadata or at retrieval time by better modelling the user context. In this work we explore how activity recognition from tri-axial accelerometers can be employed to model a user's activity as a means of enabling context-aware information retrieval. In this paper we discuss how we can gather user activity automatically as a context source from a wearable mobile device and we evaluate the accuracy of our proposed user activity recognition algorithm. Our technique can recognise four kinds of activities which can be used to model part of an individual's current context. We discuss promising experimental results, possible approaches to improve our algorithms, and the impact of this work in modelling user context toward enhanced search and retrieval

    SVGOpen Conference Guide: An overview

    Get PDF
    Context-aware applications are emerging on a daily basis and location information proves to be one of the key components in this domain. This stems from the fact that location information enables and facilitates reasoning about what users are doing (user's behavioural patterns) and what users are interested in. Availability of campus-wide WLAN infrastructure at University of Twente (UT) and the fact that SVGOpen 2005 was scheduled to be held at UT, were two strong driving forces towards building a location-aware conference guide. In this paper, a privacy-sensitive, location-aware service architecture is presented, which utilizes a calibration-free localization technique. The presented architecture uses existing WLAN infrastructure for cost efficiency, and uniquely incorporates the location information into Jini service discovery platform. Vector graphics provide better support for highly dynamic interface. Among all available vector formats, SVG proves to be a better choice to design the dynamic user interface and hence it was used in our implementation

    Handling Data-Based Concurrency in Context-Aware Service Protocols

    Get PDF
    Dependency analysis is a technique to identify and determine data dependencies between service protocols. Protocols evolving concurrently in the service composition need to impose an order in their execution if there exist data dependencies. In this work, we describe a model to formalise context-aware service protocols. We also present a composition language to handle dynamically the concurrent execution of protocols. This language addresses data dependency issues among several protocols concurrently executed on the same user device, using mechanisms based on data semantic matching. Our approach aims at assisting the user in establishing priorities between these dependencies, avoiding the occurrence of deadlock situations. Nevertheless, this process is error-prone, since it requires human intervention. Therefore, we also propose verification techniques to automatically detect possible inconsistencies specified by the user while building the data dependency set. Our approach is supported by a prototype tool we have implemented.Comment: In Proceedings FOCLASA 2010, arXiv:1007.499
    corecore