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Showing 10 out of a total of 17 results for collection: Computing Science.
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Software Defined Networking (SDN) is an emerging paradigm in networking technology that enables innovation on how network systems are managed and designed. SDN plays a huge role in the effort to make computer networks programmable. The emergence of SDN architecture provides us with a new train of novel prospects for solving the prevailing issues in the traditional load balancing network. In this Thesis we develop an application that performs server load balancing in a Software Defined Network. Today’s load balancers are high-priced devices that have limited customizability. In SDN architecture, performing server load balancing does not require these expensive and inflexible devices. A low-cost load balancing solution can be designed, further enhanced with the ability to schedule load not only between servers, but also between paths. This paper presents a novel approach for implementing load-balancing without deployment of dedicated hardware components and solely on the top of an SDN enabled network.Our proposed scheme exploits the server resources and achieves a much better load balancing effect in comparison with the Round Robin and Random schemes. Also, our schemes is cost effective than the traditional schemes, since we reduce the requirements of hardware equipment by the way of software customizing approach.
Lahar Mishra
;
Ratna Kendhe
;
anhavi Bhalerao
(
2015-10
)
Improving Ad Hoc On Demand distance Vector Routing Protocol Against BlackHolc Attacks For Mobice Ad Hoc Net Work
Eden Teshome
;
IngTowfikJemal
;
Mohammed Muntaz
(
2016-02
)
Factors Hindering Development of Library and Information Services in Ethiopian Universities
Workineh Tesema
;
Yehuwalashet Bekele
(
2017
)
Drought Pattern Invostingation through processing Normalized Vegetation Index-Based Satellite images
Taye tolu
;
Kumudha ralmond
(
2015-11
)
Review on Management Information Systems (MIS) and its Role in Decision Making
Lahar Mishra
;
Ratna Kendhe
;
Janhavi Bhalerao
(
2015-10
)
Automated Amharic News Categorization Using Deep Learning Models
Endalie, Demeke
;
Haile, Getamesay
(
2021-07-27
)
Hybrid Feature Selection for Amharic News Document Classification
Endalie, Demeke
;
Haile, Getamesay
(
2021-05-12
)
Development of dependency parser for Amharic sentences
Degu, Mizanu Zelalem
;
Gebeyehu, Worku Birhanie
(
2022-01-29
)
A Self-Learning Knowledge Based System to Mitigate the Impact of Drug Interactions in Type Two Diabetes Mellitus
Embabo, Amansisa
;
Jimma, Worku
;
Diriba, Chala
(
2022-04-15
)
SERVICE AND FREQUENT MEASURE FOR E-LEARNING THROUGH CLOUD COMPUTING USING MOSCSM
Akram, Faiz
(
2022-12-27
)
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