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This paper presents a novel approach to reducing server and network load through shared buffering techniques. Authors Somaya Arianfar, Pasi Sarolahti, and Jörg Ott from Aalto University outline the challenges posed by sudden traffic spikes, lack of Content Delivery Network (CDN) agreements, and application-specific solutions. They introduce a load control architecture that emphasizes application independence, object size independence, and the design of a receiver-based transport protocol. This study aims to optimize network performance by implementing buffered storage sharing among clients, ensuring a more resilient and efficient streaming experience.
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Reducing Server and Network Load with Shared Buffering Somaya Arianfar, PasiSarolahti, JörgOtt Aalto University 10.12.2012 CSWS’12, Nice, France
Outline • Background and problem statement • Goals • Design • Byte stream buffering • Store-me bits • Load Control Architecture • Receiver-based Transport Protocol • Summary
Background Client 1 Proxy Server Server Client 2 Bottleneck Client 3 Client 4
Background CDN Client 1 Client 2 Server Client 3 Client 4
Problem Statement • Sudden traffic spikes • Application specific solutions • No CDN agreements => server goes down • E.g. links from Dig and Twitter • Proxy’s violation from end-to-end argument • E.g. Security issues
Main goals • Application independence • Object size independence • Segmentation and network independence
Design: Store-me bits and load control Policer Client 1 Buffering node Server
Design: Receiver-based Transport Protocol • Stream label • 20-bytes unique Id • Sequence Number • 64-bits offset • Checksum • Cumulative from the beginning of the stream
Application Interface Client 1 Server
Summary • Storage sharing in the network • Application independent stream buffering • Load controlled architecture • Pull-based transport protocol
Questions? Thanks!