Download presentation

Presentation is loading. Please wait.

Published bySkye Broome Modified over 2 years ago

1
Abhigyan, Aditya Mishra, Vikas Kumar, Arun Venkataramani University of Massachusetts Amherst 1

2
Examples: ◦ CDNs ◦ P2P applications ◦ Mirrored websites ◦ Cloud computing 2 Location diversity: Ability to download content from multiple locations

3
ISPs have several objectives, e.g., minimizing congestion, decisions about upgrading link capacity ISPs optimize link utilization based metrics. e.g. maximum link utilization (MLU) 3

4
4 Traffic engineering (ISPs) Location diversity (CDNs) Internet traffic

5
How do TE schemes compare accounting for location diversity in the Internet? 5

6
1. Introduction 2. Motivation 1.Location diversity and traffic engineering 2.Metric of comparison 3. Evaluation 4. Conclusion 6

7
Application adaptation to location diversity Traffic matrix New Routing 7 Traffic engineering Content demand

8
8 100 Mbps, 0.1ms 100 Mbps, 10ms 1 2 3 10 Mb x 10 req/s = 100 Mbps 10 Mb x 5 req/s = 50 Mbps OSPF Wt = 2 OSPF Wt = 1 50 Mbps + 50 Mbps 50 Mbps Maximum link utilization ( MLU )= 1 OSPF Wt = 1

9
9 100 Mbps, 0.1ms 100 Mbps, 10ms 1 2 3 OSPF Wt = 2 OSPF Wt = 1 50 Mbps + 50 Mbps 50 Mbps OSPF Wt = 1 25 Mbps + 25 Mbps Expected MLU = 0.5 25 Mbps +25Mbps MLU = 0.75 10 Mb x 10 req/s = 100 Mbps 10 Mb x 5 req/s = 50 Mbps OSPF Wt = 1

10
Location diversity increases capacity 100 Mbps 1 2 3 10 Mb x 10req/s = 100 Mbps 100 Mbps 10 Mb x 20req/s = 200 Mbps Increase in capacity = 200/ 100 = 2

11
1. Motivation 1.Location diversity and traffic engineering 2.Metric of comparison 2. Evaluation 3. Conclusion 11

12
Without location diversity ◦ Capacity = 1/MLU 12 100 Mbps 1 2 3 25 Mbps 100 Mbps MLU = 0.25 100 Mbps Capacity = 100/25 = 4 100 Mbps max supportable demand current demand Capacity =

13
Without location diversity ◦ Capacity = 1/MLU With location diversity ◦ Ca pacity >= 1/MLU 13 100 Mbps 1 2 3 30 Mbps 100 Mbps 25 Mbps 5 Mbps MLU = 0.25 180 Mbps 90 Mbps Capacity > 180/30 = 6 Need a new metric to quantify capacity under location diversity max supportable demand current demand Capacity =

14
SPF = Maximum supportable surge (linearly scaled) in traffic demand 14 SPF = 200/30 = 6.66 100 Mbps 1 2 3 30 Mbps 100 Mbps 25 Mbps 5 Mbps 100 Mbps 200Mbps

15
Location diversity significantly impacts TE 1.Capacity increases 2.Capacity (SPF) not captured by 1/MLU 15

16
1. Introduction 2. Motivation 3. Evaluation 1.TE schemes 2.Measuring SPF 3.Capacity results (SPF) 4. Conclusion 16

17
17 TE Schemes (Almost online) optimal TE [OPT] (Offline) “optimal” TE using MPLS [MPLS] (Offline) TE using OSPF link weight optimization [OptWt] (Offline) Multi-TM optimization TE [COPE] (Oblivious) Static shortest path routing with inverse- capacity link weights [InvCap]

18
18 Is demand satisfied ? Increase demand by Δ SPF = demand/(initial demand) Demand = initial demand YES NO

19
19 InvCap worst case No LocDiv = 50% sub-OPT LocDiv = 30% sub-OPT 1.All TE schemes achieve near-optimal capacity with location diversity. 2.Even no TE scheme is at most 30% sub-optimal with location diversity.

20
“How location diversity ate traffic engineering’s cake” ◦ Any TE scheme performs the same as Optimal TE. ◦ No TE scheme performs at most 30% worse. 20

Similar presentations

Presentation is loading. Please wait....

OK

Week 1.

Week 1.

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Esophageal anatomy and physiology ppt on cells Ppt on computer basics in hindi Ppt on shell scripting linux Ppt on power amplifier Ppt on english grammar in hindi Ppt on land transport Ppt on nuclear family and joint family clip Ppt on next generation 2-stroke engine stops Ppt on horizontal axis windmill Ppt on sanskritization