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TCP Optimization презентация, доклад

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TCP OptimizationUse Case OverviewNetwork speeds are increasing but that does not result in desired QoE for the network users due to TCP protocol challengesTCP performance on today’s mobile and fixed networks

Слайды и текст этой презентации

Слайд 1TCP Optimization
Network Optimization Use Case
Taking Control of TCP

August 2018 (Updated)

TCP OptimizationNetwork Optimization Use CaseTaking Control of TCPAugust 2018 (Updated)

Слайд 2TCP Optimization
Use Case Overview
Network speeds are increasing but that does

not result in desired QoE for the network users due

to TCP protocol challenges
TCP performance on today’s mobile and fixed networks is sub-optimal costing network operators a huge sums of business due to inefficient use of expensive resources (for e.g. RAN and Spectrum in mobile networks), growing capacity challenges, and poor subscriber experience
Managing video streams, heavy users and bandwidth-intensive background applications tackle congestion only
Subscribers increasing reliance on digital devices mandates that critical applications of transactional nature use reliable data transports like TCP
Optimizing transport layer (TCP) introduces an entirely new and independent class of network optimization that can complement other congestion mitigation techniques
TCP uses flow and congestion control that is most suitable for fixed networks as flow and congestion issues are more predictable
Sandvine’s solution for TCP Optimization ‘takes control’ of TCP connection in the network and makes TCP ‘access-aware’, optimizing it for the unique characteristics of a mobile operator’s mobile network
TCP OptimizationUse Case OverviewNetwork speeds are increasing but that does not result in desired QoE for the

Слайд 3TCP Optimization
TCP Protocol in Internet Network
85-90% of fixed and 96%

of mobile Internet traffic is TCP

TCP behaves very poorly on

mobile, satellite and WAN networks where higher latencies and lost packets are normal

TCP is the engine of the Internet

TCP OptimizationTCP Protocol in Internet Network85-90% of fixed and 96% of mobile Internet traffic is TCPTCP behaves

Слайд 4TCP Optimization
TCP Protocol Challenges
TCP, being endpoints protocol, makes no assumptions

about underlying network and remains conservative to overcome uncertainty
No guarantee

that different TCP endpoint devices use same algorithms and TCP options for congestion control
TCP congestion control mechanism lack direct knowledge of the underlying network and call model characteristics of the network
Lacking end-to-end control and visibility, inflight data rates fluctuates on both sides of the BDP*
TCP’s behavior to “starve” and “overwhelms” the network resources has major negative impact on subscribers QoE

*Bandwidth Delay Product (BDP) is the mathematical product of instantaneously available bandwidth and latency

TCP is built in 1974

Designed for fixed access networks

Don’t act on flows in aggregate

Overreact to packet drops

Left on its own, TCP stops network from reaching its potential

TCP may be fast when bandwidth is scarce

When bandwidth is available, TCP is not fast enough

TCP OptimizationTCP Protocol ChallengesTCP, being endpoints protocol, makes no assumptions about underlying network and remains conservative to

Слайд 5TCP Optimization
TCP Protocol Challenges – Slow Start at Work
During the

slow start phase, a packet drops
Timeout reached for the dropped

packets; The loss starts a congestion avoidance state with a lower threshold

A few dropped packets (for e.g. from interference in a wireless network) cause TCP to be much slower than the network performance demands can justify. The network can accommodate much more aggressive ‘ramp-up’, but TCP is too conservative to use the available capacity.

Misinterpreting network conditions make TCP itself a bottleneck for performance and efficiency.

TCP OptimizationTCP Protocol Challenges – Slow Start at WorkDuring the slow start phase, a packet dropsTimeout reached

Слайд 6TCP Optimization
Problems with ’Transparent’ Proxy Solution
There is no ’Transparent’ Proxy

Solution for TCP Acceleration

TCP OptimizationProblems with ’Transparent’ Proxy SolutionThere is no ’Transparent’ Proxy Solution for TCP Acceleration

Слайд 7TCP Optimization
Sandvine Solution – Value Proposition
Unique Approach
Creates a TCP “midpoint”

which takes control of the TCP connection while remain end-to-end

transparent

Designed for Today’s Networks
Account for all TCP connections as a collective whole while taking all TCP flows for an individual user for actions. Manages ”starving” and “bufferbloats” efficiently

Improved Subscriber QoE
Faster data transmissions and increased application performance

Increased Network Performance
Higher ratio of goodput to throughput, better resource utilization, reduced retransmissions, extended investments lifetime

Increase Revenue Opportunities
Faster and more reliable connections allow subscribers to do more data usage

Better Congestion Control
Operator can delay other congestion management investments
TCP OptimizationSandvine Solution – Value PropositionUnique ApproachCreates a TCP “midpoint” which takes control of the TCP connection

Слайд 8TCP Optimization
Sandvine Solution – Improvements
Faster recovery from errors
Faster and consistent

RTT
Consistently low retransmissions
Higher and improved Goodput

TCP OptimizationSandvine Solution – ImprovementsFaster recovery from errorsFaster and consistent RTTConsistently low retransmissionsHigher and improved Goodput

Слайд 9TCP Optimization
Sandvine Solution – Business Case / ROI
Capacity Expansion
Maintain good

latency at 95% utilization of the network – “hotter” utilization

of investment by supporting more subscribers

Savings on Interconnect Fee
Fewer retransmissions allow savings on interconnect fee. Retransmissions can be reduced from 7-9% to 1-2%

Revenue Increase
Improving average RTT directly impact subscriber QoE resulting in more usage, satisfied customers and increased revenue
TCP OptimizationSandvine Solution – Business Case / ROICapacity ExpansionMaintain good latency at 95% utilization of the network

Слайд 10TCP Optimization
Use Case - Deployments
DSL
DOCSIS
FTTx
2G,3G,4G
WiMAX
WiFi
Satellite
TCP Accelerator Solution is Access-Agnostic
Typical TCP

Accelerator Deployment

TCP OptimizationUse Case - DeploymentsDSLDOCSISFTTx2G,3G,4GWiMAXWiFiSatelliteTCP Accelerator Solution is Access-AgnosticTypical TCP Accelerator Deployment

Слайд 11TCP Optimization
Use Case - Deployments
Mobile Access
Technologies
DSL Access Technology

TCP OptimizationUse Case - DeploymentsMobile Access Technologies DSL Access Technology

Слайд 12TCP Optimization
Use Case - Deployments
Cable Access Technology
Satellite Access Technology


WiMAX Access Technology

TCP OptimizationUse Case - DeploymentsCable Access Technology Satellite Access Technology WiMAX Access Technology

Слайд 13TCP Optimization
Use Case – Call Flows

TCP OptimizationUse Case – Call Flows

Слайд 14TCP Optimization
Sandvine Solution – Product Features

TCP OptimizationSandvine Solution – Product Features

Слайд 15TCP Optimization
Field References
Accelerated
Not Accelerated

TCP OptimizationField ReferencesAcceleratedNot Accelerated

Слайд 16TCP Optimization
Field References
Comparing Speedtest with Sandvine Control Center results

TCP OptimizationField ReferencesComparing Speedtest with Sandvine Control Center results

Слайд 17TCP Optimization
Field References
Improvement in goodput after applying TCP-A in a

3G/4G network in each transfer size bucket

TCP OptimizationField ReferencesImprovement in goodput after applying TCP-A in a 3G/4G network in each transfer size bucket

Слайд 18TCP Optimization
Field References
Recent tests conducted at a North American Operator

shows significant improvement in subscriber throughput in different network conditions

TCP OptimizationField ReferencesRecent tests conducted at a North American Operator shows significant improvement in subscriber throughput in

Слайд 19Thank you

Thank you

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