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SUMMARY:Big Data and Its Implication on Design of Future Data Storage Syst
 ems
DTSTART:20150826T151500
DTEND:20150826T161500
DTSTAMP:20260414T181550Z
UID:5fd52436edebc9a2c8bb808f67908fac01cfe0f1d42840d6d9b0115d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Hosein Asadi\nWith tremendous amount of data being produ
 ced every day\, high performance and highly available access to stored dat
 a has become a continuous challenge for enterprise IT companies and financ
 ial institutions. Due to the stringent criticality of customers’ data\, 
 financial institutions and online reservation systems mainly use high-end 
 data storage systems offered by EMC\, NetApp\, HP\, IBM\, and Hitachi. Wit
 h significant cost imposed by big amount of data\, enterprise IT companies
  such as Facebook and Google\, however\, have not welcomed high-end data s
 torage systems and instead have tried to more take advantage of low-cost s
 torage servers. Such systems\, however\, suffer from major limitations suc
 h as long access latency\, limited throughput\, and less availability. In 
 this talk\, I first present common architectures used in data storage syst
 ems and their main differences with storage servers. Then\, market trends 
 in storage systems and storage servers will be covered. Design challenges 
 of future storage systems are discussed next. Finally\, I will present few
  research tracks on data storage systems including accelerating performanc
 e evaluation of disk subsystems\, availability modeling\, and Total Cost o
 f Ownerships (TCO) of storage systems.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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