Murtaza Gulamali

Meaning and Behaviour in Grid Oriented Components

The ICENI middleware utilises information captured within a component based application in order to facilitate Grid-based scheduling. We describe a system of application related meta-data that features a separation of concerns between meaning, behaviour and implementation, which allows for both communication and implementation selection at run-time, while providing the user with a flow-based programming model. It is shown that this separation enables a flexible approach to scheduling, and eases the integration of components with disparate control flow patterns or data types, by means of converters and tees for collective communication. By explicitly recording application information and supporting multiple scheduling approaches, communication protocols and component applications, while retaining OGSA compatibility, the ICENI component model is ideally suited to Grid computing.

Self-potential anomalies induced by water injection into hydrocarbon reservoirs

Our results imply that measurements of the spontaneous potential at a production well will combine contributions from both streaming and electrochemical effects, and may be used to detect an advancing waterfront some time before water breakthrough occurs at the well. Moreover, inversion of the measured signals could be used to determine the water saturation in the vicinity of the well, and to regulate flow into the well using control valves in order to maintain or increase oil production.

ICENI: An Integrated Grid Middleware to Support E-Science

Scientists now have a greater desire to undertake work within global collaborations. This increases their dependence on distributed computation, storage and data resources. For this new paradigm of e-research to be easily adopted by the applied science community, it needs to be enabled by a new software infrastructure — Grid middleware. In this chapter, we describe ICENI, an integrated Grid middleware that explores the services and meta-data necessary to support e-research within a variety of application domains. We focus on the services that we feel are necessary to facilitate Grid use, ranging from running a simple self contained application through to building a simulation from scientific software components distributed across a Grid, selecting the optimal combination of services to enact the simulation and paying for them on demand.