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Network throughput
It is an indicative measure of the point carrying capacity of a network. It is distinct as the total number of messages the network can transmit per unit time. To approximate the throughput, the capacity of the network and the messages number of really carried by the network are calculated. Essentially the throughput is only a fraction of its capacity.
In interconnection network the traffic flow among nodes may be nonuniform and it may be feasible that a certain pair of nodes handles a disproportionately huge amount of traffic. These are called "hot spot." The hot spot can act as a bottleneck and can decrease the performance of the entire network.
Differentiate between non-relocatable and relocatable programs. A non-relocatable program is one which cannot be executed in any memory area other than the area starting at i
Explain essential loop in Process Scheduling . The complex part of scheduling is to balance policy enforcement along with resource optimization so as to pick the best job to run
Memory Organization - Computer architecture: BASIC CONCEPTS: Address space - 16-bit : 216 = 64K mem. locations - 32-bit : 232 = 4G mem. locations - 40-b
Virtual Manufacturing System Virtual manufacturing system or VMS is a synthetic, integrated manufacturing environment, developed by using information technology tools, exercise
Question (a) A 500 MHz Pentium III processor takes 2 ms to run a program with 200,000 instructions. A 300 MHz UltraSparc processor takes 1.8 ms to run the same program with 23
Write a Verilog code for synchronous and asynchronous reset? Synchronous reset, synchronous means clock dependent so reset must not be present in sensitivity disk eg: alway
In a particular exchange during busy hour 1200 calls were offered to a group of trunks, during this time 6 calls were lost. The average call duration being 3 minutes Calculate
What is fan-out? Estimate the average count of every "many" association encountered with the path. Multiply the individual fan-outs who obtain the fan-out of the whole path, wh
Examples of artificial neural networks: Now here as an example consider a ANN that has been trained to learn the following rule categorising the brightness of 2x2 black and wh
What are Attributes? Attributes are declarative tags in code that insert additional metadata into an assembly. There exist two types of attributes in the .NET Framework: Pred
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