Self-optimising data farming for web applications

Many Web applications walk the thin line between the need for dynamic data and the need to meet user performance expectations. In environments where funds are not available to constantly upgrade hardware inline with user demand, alternative approaches need to be considered. This paper introduces a ‘Data farming’ model whereby dynamic data, which is ‘grown’ in operational applications, is ‘harvested’ and ‘packaged’ for various consumer markets. Like any well managed agricultural operation, crops are harvested according to historical and perceived demand as inferred by a self-optimising process. This approach aims to make enhanced use of available resources through better utlilisation of system downtime - thereby improving application performance and increasing the availability of key business data.

Infrastructure, the crisis, and pension funds

Infrastructure investment has been an important element in the economic stimulus packages introduced to try and deal with the effects of the recession. It is reinforced by the need to develop sustainable energy sources, and by the development needs of countries in the south. Public sector finance – tax revenues and bonds – remain the main way of financing such investment. The use of PPP projects to finance and operate infrastructure services, and the development of infrastructure funds as a way of investing in them, are both dangerous and unnecessary.