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How optimization is achieved in DNS?
Two primary optimizations used in DNS and they are: replication and caching. All root servers is replicated; various copies of the server exist around the world. While a new site joins the internet, the site configures its local DNS server along with a list of root server. The site server uses any root server is most responsive at a provided point of time. Into DNS caching each server maintains a cache of names. When this looks up a new name, the server puts a copy of the binding in its cache. Before contacting other server to request a binding, the server checks its cache; when the cache have the answer the server uses the cached answer to produce a reply.
Define congestion and grade of service. Congestion : This is uneconomic to give sufficient equipment to carry all the traffic which could possibly be offered to a telec
i want to get answer about this topic what is software engineering and what is its limitation
Explain LRU Page replacement algorithm. LRU policy: It expands to least recently use. This policy proposes that we remove a page that last usage is farthest from present time
er table for hospital management system
Explain the Action-object matrix A matrix showing how update actions influence objects. It may be considered to be part of user object model as it summarizes user object ac
Explain Common channel signalling. Common channel signalling: Signaling systems connection the variety of transmission systems, switching systems and subscriber equipments, i
Explain about the Logical Devices Locator, to indicate a position and/or orientation Pick, to select a displayed entity To input a single value in the space of re
We perform load testing once we are completed with interface (GUI) testing. Modern system architectures are large and difficult. Whereas one user testing primarily on functionality
Allocation of Bits among Opcode and Operand The trade-off here is between numbers of bits of opcode vs. the addressing capabilities. An interesting development in this regard i
Backpropagation Learning Routine: Conversely as with perceptrons there the information in the network is stored in the weights than the learning problem comes down to the ques
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