Self-healing systems and virtual structures

Modern networks are large, highly complex and dynamic. Add to that the mobility of the agents comprising many of these networks. It is difficult or even impossible for such systems to be managed centrally in an efficient manner. It is imperative for such systems to attain a degree of self-management. Self-healing i.e. the capability of a system in a good state to recover to another good state in face of an attack, is desirable for such systems. In this paper, we discuss the self-healing model for dynamic reconfigurable systems. In this model, an omniscient adversary inserts or deletes nodes from a network and the algorithm responds by adding a limited number of edges in order to maintain invariants of the network. We look at some of the results in this model and argue for their applicability and further extensions of the results and the model. We also look at some of the techniques we have used in our earlier work, in particular, we look at the idea of maintaining virtual graphs mapped over the existing network and assert that this may be a useful technique to use in many problem domains

Signaling the Fed's intentions

Monetary policy - United States ; Federal Open Market Committee

Are commodity prices foretelling deflation?

Prices ; Deflation (Finance)

Bank lending and the transmission of monetary policy

Bank loans ; Monetary policy - United States

Oil prices, exchange rates and the U.S. economy: an empirical investigation

Power resources - Prices ; Dollar, American ; Petroleum industry and trade ; Organization of Petroleum Exporting Countries

Real interest rates

Interest rates ; Monetary policy - United States

Real wages in the 1980s

Wages ; Purchasing power

An unprecedented slowdown?

Recessions ; Economic conditions - United States ; Gross domestic product

Interpreting recent growth in M2

Money supply

Forecasting growth in current quarter real GNP

Econometric models ; Gross national product ; Forecasting