%0 Conference Proceedings
%T Efficient Batched Synchronization in Dropbox-Like Cloud Storage Services
%+ Peking University [Beijing]
%+ Tsinghua University [Beijing] (THU)
%+ Northeastern University [Boston]
%+ Cornell University [New York]
%+ Binghamton University [SUNY]
%+ University of California [Santa Barbara] (UC Santa Barbara)
%+ University of Minnesota [Twin Cities] (UMN)
%A Li, Zhenhua
%A Wilson, Christo
%A Jiang, Zhefu
%A Liu, Yao
%A Zhao, Ben, Y.
%A Jin, Cheng
%A Zhang, Zhi-Li
%A Dai, Yafei
%Z Part 3: Storage
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 14th International Middleware Conference (Middleware)
%C Beijing, China
%Y David Hutchison
%Y Takeo Kanade
%Y Madhu Sudan
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Moshe Y. Vardi
%Y Gerhard Weikum
%Y David Eyers
%Y Karsten Schwan
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%Y Bernhard Steffen
%I Springer
%3 Middleware 2013
%V LNCS-8275
%P 307-327
%8 2013-12-09
%D 2013
%R 10.1007/978-3-642-45065-5_16
%K Cloud storage service
%K Dropbox
%K Data synchronization
%K Traffic overuse
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X As tools for personal storage, file synchronization and data sharing, cloud storage services such as Dropbox have quickly gained popularity. These services provide users with ubiquitous, reliable data storage that can be automatically synced across multiple devices, and also shared among a group of users. To minimize the network overhead, cloud storage services employ binary diff, data compression, and other mechanisms when transferring updates among users. However, despite these optimizations, we observe that in the presence of frequent, short updates to user data, the network traffic generated by cloud storage services often exhibits pathological inefficiencies. Through comprehensive measurements and detailed analysis, we demonstrate that many cloud storage applications generate session maintenance traffic that far exceeds the useful update traffic. We refer to this behavior as the traffic overuse problem. To address this problem, we propose the update-batched delayed synchronization (UDS) mechanism. Acting as a middleware between the user’s file storage system and a cloud storage application, UDS batches updates from clients to significantly reduce the overhead caused by session maintenance traffic, while preserving the rapid file synchronization that users expect from cloud storage services. Furthermore, we extend UDS with a backwards compatible Linux kernel modification that further improves the performance of cloud storage applications by reducing the CPU usage.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-01480782/document
%2 https://inria.hal.science/hal-01480782/file/978-3-642-45065-5_16_Chapter.pdf
%L hal-01480782
%U https://inria.hal.science/hal-01480782
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-LNCS-8275
%~ IFIP-MIDDLEWARE