A mathematical analysis of a disaster management data-grid push service

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

Managing inconsistencies in data grid environments

Much work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source’s own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented