• The big picture, from grids and clouds to crowds: a data collective computational intelligence case proposal for managing disasters

      Bessis, Nik; Asimakopoulou, Eleana; French, Tim; Norrington, Peter; Xhafa, Fatos (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
      Much work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. Various technology-driven paradigms have emerged, including Web Services, Web 2.0, Pervasive, Grids and Cloud Computing. Recently, some new paradigms have emerged, including Situated Computing and Crowd Sourcing. In this exploratory paper, we aim to be visionary, thus, we offer an overview highlighting relationships between these paradigms, the goal is to present how these fit into the broader picture of IT. More specifically, to discuss how these could help coin and prompt future direction of their usage (integration) in various real-world scenarios. A disaster management scenario is presented to illustrate the big picture's model architecture, as well as briefly discuss the potential impact resulting from the collective computational intelligence approach.
    • A mathematical analysis of a data-grid push service for disaster management response scenarios

      Bessis, Nik; Asimakopoulou, Eleana; Conrad, Marc (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009)
    • A mathematical analysis of a disaster management data-grid push service

      Bessis, Nik; Brown, Antony; Asimakopoulou, Eleana (IGI Global, 2010)
      Much work is under way within the Grid technology community on issues associated with the development of services fostering the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. These developments involve fluid and dynamic, ad hoc based interactions between dispersed service providers and consumers. However, several obstacles arise in the design and implementation of such services. In this article, the authors examine a notable obstacle, namely how to keep service consumers informed of relevant changes about data committed in multiple and distributed service provider levels, and most importantly, when these changes can affect others’ well-being. To achieve this, the authors use aggregated case scenarios to demonstrate the need for a data-Grid push service in a disaster management situation. In this regard, the article describes in detail the service architecture, as well as its mathematical analysis for keeping interested stakeholders informed automatically about relevant and critical data changes.
    • Towards context-aware real-world environments: the case of a remote autonomous energy aware monitoring system

      Bessis, Nik; McLauchnan, Nicholas; Asimakopoulou, Eleana; Brown, Antony; Norrington, Peter (World Scientific Publishing, 2011)
      Work is underway on issues associated with the development of tools and services to reduce energy consumption. Current trends suggest that energy consumption is increasing and carbon reserves are decreasing whilst green technologies for energy generation are yet to prove themselves. In industry, there are many legacy installations of equipment capable of transmitting their energy usage via the MODBUS protocol. Here we introduce a means of logging energy usage data and transmitting it to a database. The motivation is that making energy users aware of their consumption can help assist them in taking informed action towards the reduction of wasted energy. Thus, we offer a state-of-the-art of possible networking technologies, which have led to a real-world implementation. We present requirements whilst we mathematically model the compression technique. On the development side, we use GSM/GPRS technology, embedded KJava runtime and a bespoke Java application as the framework to email the usage data to the database.
    • Trust issues on crowd-sourcing methods for urban environmental monitoring

      French, Tim; Bessis, Nik; Maple, Carsten; Asimakopoulou, Eleana (IGI Global, 2012)
      This paper explores trust related issues arising from the use of a crowd-sourcing method. Crowd-sourcing is a relatively new method that utilises modern technologies to gather, analyse and visualise specific “on-the-fly” data. The data is typically acquired through the employment of mobile technology, with each device running a bespoke application that captures the desired information. The resulting “crowd sourced” data is readily available and the corresponding maps produced can in turn, be used to support strategic planning and to facilitate overall, more informed decision-making. The purpose is to provide insights into this novel approach to data collection, aggregation and subsequent visualisation. Specifically, the focus centres upon issues of trust and security that are inherent not merely to the use of crowd sourced data capture itself, but also crucially, to the stewardship and usage of the resultant data sets within e-government settings. A novel community centric usage scenario is presented that seeks to show how issues of trust pervade the technology. Hence, both rewards and risks are revealed and we go on to outline a preliminary approach intended to support a trusted and reputable “crowdy” data architecture.