ARC Discovery Grant (2011-2013)
Summary:
As many new distributed computing paradigms (e.g., cloud computing, pervasive computing) emerge, there are many benefits in terms of reduced coupling and increased flexibility. For the computational entities and components in these computing systems to successfully interact and cooperate, they need to negotiate and coordinate in open and dynamic environments, with incomplete information. This project investigates a novel automated negotiation model that captures descriptively the social dynamics of the negotiation process. In this framework, the negotiators update their negotiation strategies according to changes in the environment and proactively search for options outside of the negotiation to improve their bargaining strength.
Participants: Bao Quoc Vo (CI), Ryszard Kowalczyk (CI), Sascha Ossowski (PI), Gregory Kersten (PI), Rustam Vahidov (PI), Minyi Li (Postdoctoral Rsesearch Associate)
ARC Discovery Grant (2009-2011)
Summary:
As software systems are conceived and evolve, a wide range of inconsistencies can arise as early as during requirements engineering (RE) when goals and requirements are elicited from multiple stakeholders. Managing and resolving such conflicts become critical activities during the process of software development. Funded by the ARC this project aims to develop a framework for conflict management based on an argumentation-theoretic approach. The advantage of this approach is in the ability to incorporate basic notions of RE into an argument system so that arguments for and against conflicting requirements can be analysed and put into competition. Well-defined argumentation-theoretic semantics will also help in resolving the conflicts between requirements.
Participants: Bao Quoc Vo (CI), Norman Y Foo (CI)
Summary:
The emergence of smart energy grids together with smart meters, sensors, devices and appliances promises new financial and environmental efficiencies in the energy market and the overall economy. This has been recognised by the governments and industry around the world, as evidenced by the multi-billion dollar investments and commitments directed towards the development and adoption of new hardware and software technologies supporting the realisation of smart energy grids. In Australia, the exchange between electricity producers and electricity consumers is facilitated through the Australian Energy Market Operator (AEMO) which manages the electricity generation, transmission and distribution in conjunction with market participants and regulatory agencies. One of the proposed developments in the upcoming smart grids is the application of dynamic pricing to control and reduce the cost of environmental impacts of the current delivery chain (shown in the figure below). A simulator for the Australian electricity market is necessary in order to study the impacts of any changes in the electricity market. With the help of a simulator, industry and researchers will be able to try out new market strategies and analyse their impact on the energy market. Thus the main aim of this project is to build a simulator for the Australian Electricity Market for the purpose of studying the market behaviour under different market conditions.
Participants: Bao Quoc Vo, Ryszard Kowalczyk, Mohan Baruwal Chhetri, Clinton Woodward