Dynamic Routing in Translucent WDM Optical Networks: The Intradomain Case

Translucent wavelength-division multiplexing optical networks use sparse placement of regenerators to overcome physical impairments and wavelength contention introduced by fully transparent networks, and achieve a performance close to fully opaque networks at a much less cost. In previous studies, we addressed the placement of regenerators based on static schemes, allowing for only a limited number of regenerators at fixed locations. This paper furthers those studies by proposing a dynamic resource allocation and dynamic routing scheme to operate translucent networks. This scheme is realized through dynamically sharing regeneration resources, including transmitters, receivers, and electronic interfaces, between regeneration and access functions under a multidomain hierarchical translucent network model. An intradomain routing algorithm, which takes into consideration optical-layer constraints as well as dynamic allocation of regeneration resources, is developed to address the problem of translucent dynamic routing in a single routing domain. Network performance in terms of blocking probability, resource utilization, and running times under different resource allocation and routing schemes is measured through simulation experiments.

Who Suffers Most when Disease Outbreaks and Food Recalls Happen? The Case of Mad Cow Disease in the United States

It is generally observed that whenever there are cases of disease outbreaks and food recalls, such as the case of the 2003 Mad Cow Disease (Bovine Spongiform Encephalopathy or BSE) outbreak, cattle and beef prices fall. Given these incidents, there is the question of which part of the marketing chain is the most affected. For those who produce live cattle, such as feedlot operators, the question is ‘what effect these events have on price and demand for beef and cattle?’ Similarly, how do the Food Safety Inspection Service (FSIS) recalls and diseases such as Mad Cow Disease outbreaks affect the beef marketing margins at all levels in the U.S. beef marketing chain? Identifying these effects along the marketing chain provides insight into which level along that channel is the most vulnerable to these events. In addition, this information helps to assess the impact of such events on the industry, providing a basis for policy formulation.