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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.
Question : (a) What do you meant by a storage device? (b) List 5 examples of storage devices and give their uses (c) What are the differences between backup and ar
is it discrete, disparate, virtual or hierarchal
What does WSDL stand for? WSDL stands for Web Services Description Language. It is an XML representation of the web service interface. There are two parts of the operation
What are the Structural Notations These notations comprise static elements of a model. They are considered as nouns of UML model that could be conceptual or physical. Their ele
1. Design a DTD for a new XML application called Library Markup Language (LibML) appropriate to capture the list of your items of collection . Put the DTD into a file named librar
In the case of Static call, the called program is a stand-alone program, it is an executable program. During run time we can call it in our called program. As about Dynamic call, t
design modulo 12 up synchronous counter using t flip flop
1.Local queue -is a actual queue 2.Cluster queue -is a local queue that is called as throughout a cluster of queue managers 3. Remote queue -structure explaining a queue
Can a structure be used within a structure? Yes , a structure can be used within a structure known as nesting of structures.
Recombination and Mutation: In such a scenario the point of GAs is to generate population after population of individuals that represent possible solutions to the problem at h
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