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Abstract
With almost every networking company offering VoIP it is easy to believe that IP networks do not have any problems. This is far from the truth! Major performance, economic, and security shortcoming are inherent in today's IP networks. No matter how hard one tries to resolve shortcomings, many issues are fundamental limitations of the IP architecture that cannot be overcome. For this reason Cognitive Networks were designed.
Cognitive Networks take the best of the Public Switched Telephone Network (PSTN) and the IP network, and combine fundamental attributes of both in to one network architecture. With communication of network control and state information out-of-band, software elements can securely effect the operation of the network in near-hard-real-time. Predictive and proactive information can be “uploaded” into the network elements to yield a network with “situational awareness” and backward compatibility.
Cognitive networks take into account multidimensional network supply and demand mappings to yield automated and optimized network performance enabling new network economic and business models.
This lecture will explain how Cognitive Networks overcome inherent limitations in today's IP networks and discuss future possibilities enabled by Cognitive Networks. Issues with and solutions for network economics, multi-carrier QoS, performance, and network security will also be discussed.
Biography
Shannon Lake is the founder, President, and CEO of OMNIVERGENT Communications. As a leading networking industry expert, he has been instrumental in successful product launches for many market-leading organizations such as Cisco Systems, Nortel Networks, Lucent Technologies, Intel, Phillips, Hitachi, Network Associates, and Redback Networks. He has worked with over 15 of the world's largest telecommunications Service Providers. Under his stewardship, his teams have collectively returned over $1 Billion in revenues for these various companies. In addition to his active role in the industry, Mr. Lake has developed and taught 17 engineering courses covering leading-edge telecommunications topics, including Voice over Internet Protocol, optical networking, wireless communications, and network management for the University of California system. He has been invited to lecture for UC Berkeley, UC Irvine, UC San Diego, UC Santa Cruz, Stanford, and various branches of the United States military and government. As an author of graduate-level coursework, he has contributed to books and magazines covering topics ranging from microprocessor design to convergent technology. He is currently creating a series of classes focusing on cognitive networking and network economics.
More information Shannon M. Lake Sr. can be found at www.shannonlake.com