TY  - BOOK
AU  - Panhwer, Fozia 
AU  - Department Of Electronics Engineering
TI  - Preference Evaluation and Congestion Control of Network Buffer Using Load Balancing Technique In Discrete Time Domain   (ME Theses)
PY  - 2016///
CY  - Nawabshah: 
PB  -  QUEST, 
N1  - ABSTRACT
Due to changing field of science, specialized methods and techniques have to be used to meet with those changes. Communication technologies are also undergoes with those changes to meet with those ever changing technologies. Almost in every field of communication they are now being digitized, therefore some kind of digital techniques is essentially required to solve and to obtain the performance evaluation of those network problems. Slotted time queuing is one of those latest technique to treat the digitized networks.
In any digital network the working and transfer of data is based on time slotting, entering and leaving of the data packets are controlled and synchronized by the clock pulses. The clock pulses are provided by a clock that divides all these pulses in evenly distribution of these all pulses against a fixed interval known as slotted time	scale.	Network	station	buffer	is	only	part	where	each	time	before transmission to destinated point on the network the data packets are being really received  and processed  . Therefore most of the queuing delay occurs on these nodes. The characteristics of these entering and leaving of the data packets on to each slot is also different which also categorize these systems either to those in which entering data packets enters immediately at the starting end of the slot or the data packets enters late in the slot means at the ending edge of the slot, it is called early entering system (EES) and late entering system (LES) respectively.
In our thesis we focus on network buffer and examine it with the help of load balancing technique by using late entering system modeling approach in slotted time domain, by focusing on network buffer we enlarge our research on slotted time modeling approach in order to achieve highest throughput, maximum resource utilization, and minimum overloading with limited resources

UR  - https://tinyurl.com/mr2ymjar
ER  -