Transforming the Structure of Network Interconnection and Transport
نویسنده
چکیده
Regulatory policy in telecommunications is desperately in need of mid-level theory. There is widespread consensus that regulators should try to promote competition. There is also bitter contention about what this implies for particular industry battles. For example, an industry observer declared, “Competition should be the policy. And code that enables competition should be the rule.” He then went on to argue that the Federal Communications Commission (FCC) should require AT&T to allow customers to choose the Internet service provider that provides service over AT&T’s cable facilities. This reach to a policy action, without support from an analysis of the merits of different structural possibilities for competition, makes competition into merely a rhetorical device. In considering whether to mandate sub-loop unbundling, to require line-sharing, or to allow the use of unbundled network elements for the provision of leased lines, the issue is not just the costs of more aggressively promoting competition; such decisions also have profound implications for industry structure.
منابع مشابه
Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks
Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...
متن کاملPerformance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks
Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...
متن کاملEcological and Economic Principles to Improve the Route Network of Urban Transport
The transport system of many Ukrainian cities does not meet the EU standards and requirements. There is a need to improve urban transport networks, to use transport potential efficiently on the basis of environmental logistics and to improve environmental safety as one of the principles of sustainable transport development. The systems model to create an ecologically safe logistics system of pu...
متن کاملA Systematic Method to Analyze Transport Networks: Considering Traffic Shifts
Current network modeling practices usually assess the network performance at specified time interval, i.e. every 5 or 10 years time horizon. Furthermore, they are usually based on partially predictable data, which are being generated through various stochastic procedures. In this research, a new quantitative based methodology which combines combinatorial optimization modeling and transportation...
متن کاملBedload transport predictions based on field measurement data by combination of artificial neural network and genetic programming
Bedload transport is an essential component of river dynamics and estimation of its rate is important to many aspects of river management. In this study, measured bedload by Helley- Smith sampler was used to estimate the bedload transport of Kurau River in Malaysia. An artificial neural network, genetic programming and a combination of genetic programming and a neural network were used to estim...
متن کاملBedload transport predictions based on field measurement data by combination of artificial neural network and genetic programming
Bedload transport is an essential component of river dynamics and estimation of its rate is important to many aspects of river management. In this study, measured bedload by Helley- Smith sampler was used to estimate the bedload transport of Kurau River in Malaysia. An artificial neural network, genetic programming and a combination of genetic programming and a neural network were used to estim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره cs.CY/0304031 شماره
صفحات -
تاریخ انتشار 2000