H
Huseyin Simitci
Researcher at Microsoft
Publications - 23
Citations - 4424
Huseyin Simitci is an academic researcher from Microsoft. The author has contributed to research in topics: Parity bit & Erasure code. The author has an hindex of 17, co-authored 23 publications receiving 4152 citations. Previous affiliations of Huseyin Simitci include University of Illinois at Urbana–Champaign.
Papers
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Proceedings Article
Erasure coding in windows azure storage
Cheng Huang,Huseyin Simitci,Yikang Xu,Aaron W. Ogus,Brad Calder,Parikshit Gopalan,Jin Li,Sergey Yekhanin +7 more
TL;DR: This paper describes how LRC is used in WAS to provide low overhead durable storage with consistently low read latencies, and introduces a new set of codes for erasure coding called Local Reconstruction Codes (LRC).
Proceedings ArticleDOI
Windows Azure Storage: a highly available cloud storage service with strong consistency
Brad Calder,Ju Wang,Aaron W. Ogus,Niranjan Nilakantan,Arild E. Skjolsvold,Sam McKelvie,Yikang Xu,Shashwat Srivastav,Jiesheng Wu,Huseyin Simitci,Jaidev Haridas,Chakravarthy Uddaraju,Hemal Khatri,Andrew James Edwards,Vaman Bedekar,Mainali Shane Kumar,Rafay Abbasi,Arpit Agarwal,Mian Fahim ul Haq,Muhammad Ikram ul Haq,Deepali Bhardwaj,Sowmya Dayanand,Anitha Adusumilli,Marvin McNett,Sriram Sankaran,Kavitha Manivannan,Leonidas Rigas +26 more
TL;DR: The WAS architecture, global namespace, and data model is described, as well as its resource provisioning, load balancing, and replication systems.
Journal ArticleDOI
On the Locality of Codeword Symbols
TL;DR: In this paper, it was shown that there is a tradeoff between having good locality and the ability to correct erasures beyond the minimum distance for linear [n,k,d]q codes.
Journal Article
On the Locality of Codeword Symbols.
TL;DR: In this paper, it was shown that there is a tradeoff between having good locality and the ability to correct erasures beyond the minimum distance for linear [n,k,d]q codes.
Proceedings ArticleDOI
Autopilot: adaptive control of distributed applications
TL;DR: The Autopilot model of distributed sensors, actuators, and decision procedures is described, preliminary performance benchmarks are reported, and a case study in which the Autop Pilot library is utilized in the development of an adaptive parallel input/output system is presented.