Site Logo E-PROJECTTOPICS

DEVELOPMENT OF AN IMPROVED EXTENDED DIJKSTRA ALGORITHM FOR SOFTWARE DEFINED NETWORKS


📝


Presented To


Engineering Department

📄 Pages: 81       🧠 Words: 9600       📚 Chapters: 5 🗂️️ For: PROJECT

👁️‍🗨️️️ Views: 223      

⬇️ Download (Complete Report) Now!

ABSTRACT
This research presents the development of an improved Extended Dijkstra Algorithm (mED-SDN) for Software Defined Networks (SDN) using Representational State Transfer (REST). The original Extended Dijkstra Algorithm for SDN (ED-SDN) cannot handle shortcomings associated with the traditional shortest path routing used in SDN. The traditional shortest path routing does not take knowledge of the topology into consideration and may result in sub-optimal performance of applications and underutilization of network. The ED-SDN returns the shortest path from the single source node to every other node with the consideration of the edge weights and node weights. However, ED-SDN lacks congestion control strategies and the mechanism for computing the edge and node weights incurs significant overhead. This research presents a framework on how a load balancer can be designed in a truly RESTful manner. mED-SDN algorithm was developed using the python programming language and implemented as a component of the controller. Three different network sizes were used to evaluate the performance of the proposed approach using latency and throughput as performance metric. The advantage of the improved approach was verified in two folds. First, this research showed that mED-SDN had a 24.3% and 12.5% improvement in terms of latency and throughput respectively when compared with ED-SDN and then demonstrated that mED-SDN gave better results in terms of latency and efficiency when compared with the existing round robin load balancing approach with a 30.6% throughput improvement.

PLEASE NOTE

This material is a comprehensive and well-written project, structured into Chapter (1 to 5) for clarity and depth.


To access the full material click the download button below


OR


Contact our support team via Call/WhatsApp: 09019904113 for further inquiries.

Thank you for choosing us!

📄 Pages: 81       🧠 Words: 9600       📚 Chapters: 5 🗂️️ For: PROJECT

👁️‍🗨️️️ Views: 223      

⬇️ Download (Complete Report) Now!

🔗 Related Topics

DEVELOPMENT OF ENHANCED DIFFERENTIATED SERVICES MODEL OF CAMPUS INTERNET NETWORK: A CASE STUDY OF AHMADU BELLO UNIVERSITY, ZARIA DESIGN, CONSTRUCTION AND TESTING OF AN IMPROVED CASTING POURING LADLE DEVELOPMENT OF ENVIRONMENTALLY FRIENDLY BIODEGRADABLE CUTTING FLUID FROM SOYA BEANS (GLYCINE MAX) DEVELOPMENT OF ADSORBENTS AND PHOTOCATALYSTS USING NIGERIAN PINDIGA BENTONITIC CLAY DESIGN, DEVELOPMENT AND PERFORMANCE EVALUATION OF A FRUIT JUICE EXTRACTION MACHINE DEVELOPMENT OF PILOT SIZE PROCESS FOR ZEOLITE Y AND ZSM-5 PRODUCTION FROM KANKARA KAOLIN SIMULATION, DEVELOPMENT AND PERFORMANCE EVALUATION OF A SOLAR/GAS HYBRID POWERED ABSORPTION AIR – CONDITIONING SYSTEM DEVELOPMENT OF A PROCESS ROUTE FOR THE BENEFICIATION OF MALLAM AYUBA MANGANESE DEPOSIT TO FERROMANGANESE FEED GRADE DEVELOPMENT OF A PILOT ALLOCATION PROTOCOL TO MITIGATE THE EFFECT OF PILOT CONTAMINATION IN MASSIVE MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM DEVELOPMENT OF PREDICTIVE MODEL FOR INTRA-CITY BUS TRAVEL TIME DEVELOPMENT OF AN IMPROVED DYNAMIC ALGORITHM TOENHANCE ENERGY SAVING IN LONG TERM EVOLUTION MOBILE ACCESS NETWORKS DEVELOPMENT OF A DEEP LEARNING BASED VEHICLE LICENSE PLATE DETECTION SCHEME DEVELOPMENT OF TRANSITIONAL PROBABILITY MATRIX MODEL FOR PAVEMENT DESIGN DEVELOPMENT AND COMPARATIVE ANALYSIS OF QUOTIENTS REGRESSION BASED EMPIRICAL AND ARTIFICIAL NEURAL NETWORK BASED MODELS FOR PATH LOSS PREDICTION Development and Evaluation of a Single-Pass Vegetable (PRIVATE) Mill DEVELOPMENT OF A TRAFFIC LIGHT CONTROLLER MODEL USING ARTIFICIAL BEE COLONY BASED ADAPTIVE DYNAMIC SCHEDULING ALGORITHM A HYBRID GENETIC-ARTIFICIAL FISH SWARM ALGORITHM FOR ECONOMIC LOAD DISPATCH WITH VALVE-POINT AND MULTIPLE FUEL EFFECTS DEVELOPMENT OF AN IMPROVED APPLICATION SPECIFIC TUNELLING PROTOCOL SELECTION SCHEME FOR SITE TO SITE VIRTUAL PRIVATE NETWORKS Development of EN 338(2003) Strength Classes of Doka (Isoberlinia doka), Madaci (Khaya senegalensis) Gawo (Acacia albida) and Rimi (Ceiba pentandra) Timber Species of Nigerian Origin DEVELOPMENT OF THREE DEGREE OF FREEDOM CONTROLLER FOR SHELL AND TUBE HEAT EXCHANGER USING NON-DOMINATED SORTING GENETIC ALGORITHM II

click on whatsapp