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

An unprecedented slowdown?

Recessions ; Economic conditions - United States ; Gross domestic product

Interpreting recent growth in M2

Money supply

Real wages in the 1980s

Wages ; Purchasing power

Market expectations and Fed policy

Monetary policy - United States ; Interest rates ; Federal Open Market Committee

The September G-5 meeting and its impact

Foreign exchange - Law and legislation ; Dollar, American

Survey measures of expected inflation and the inflation process

This paper uses data from surveys of expected inflation to learn how the expectations formation processes of households and professionals have changed following a change in the inflation process in the early part of this decade. Households do not appear to have recognized the change in the process, and are placing substantially more weight than appears warranted on recent inflation data when forming expectations about inflation over the next year. Professional forecasters do appear to have changed how they predict inflation in recent years, in a way that appears consistent, at first, with the finding that the ‘core’ inflation process has not changed as much as the ‘headline’ inflation process has. But the professionals appear to be placing too much weight on lagged core inflation data, and over recent sample periods professional forecasts of headline CPI inflation are noticeably worse than the alternatives. Some other evidence is consistent with the hypothesis that they are now focusing on the core CPI.Inflation (Finance)