Title
Improving Traffic Engineering for IP using MPLS: Reviews the drawback of conventional IGP algorithms in the IP network,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
This dissertation is looking at the improvement of traffic engineering in the Internet Protocol (IP) network. The need of this improvement is because the conventional IGP algorithms that controlled the traffic engineering in IP network seem to be ineffectively to distribute the traffic flows which will lead to the congestion at some point in the network while the others traffic flows are underutilized. Therefore, a network simulation was carried out to improve the traffic engineering in the IP network by using new protocol known as Multi Protocol Label Switching (MPLS). Thus, this dissertation reviews the drawback of conventional IGP algorithms in the IP network in order to provide a background for the network simulation, the traffic engineering concept and the MPLS algorithms concept in order to improve the traffic engineering. Then, a proposed model network was designed for the network simulation. The network simulation is used to demonstrate how the MPLS with (ERLSP) and (CRLDP) algorithms have improved the traffic engineering in the IP network.Finally, an analysis of the simulation is provided to measure the improvement that achieved from the network simulation.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.