Ομιλία από την Α. Αϊλαμάκη - "Caching in the memory hierarchy: 5 minutes ought to be enough for everybody"

14-05-2018
ΕΚ "Αθηνά"

In 1987, Jim Gray and Gianfranco Putzolu introduced the five-minute rule for trading memory to reduce disk I/O using the then-current price-performance characteristics of DRAM and Hard Disk Drives (HDD). Since then, the five-minute rule has gained wide-spread acceptance as an important rule-of-thumb in data engineering. In this talk, Prof. Ailamaki will revisit the five-minute rule three decades since its introduction and use it to identify impending changes in today's multi-tier storage hierarchy given recent trends in the storage hardware landscape. She will investigate the impact of the five-minute rule -- explicit or implicit -- on the way we perform analytics. We will see that the rule applies both in the bottom tiers of the hierarchy, which is based on new Cold Storage Devices (CSD), but also in main-memory databases, where researchers have been working on hot-cold data separation and on heterogeneity-aware caching techniques.
 
Anastasia Ailamaki is a Professor of Computer and Communication Sciences at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland and the co-founder of RAW Labs SA, a swiss company developing real-time analytics infrastructures for heterogeneous big data. Her research interests are in data-intensive systems and applications, and in particular (a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and (b) in automating data management to support computationally- demanding, data-intensive scientific applications. She has received an ERC Consolidator Award (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), eight best-paper awards in database, storage, and computer architecture conferences, and an NSF CAREER award (2002). She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow, an IEEE fellow, and an elected member of the Swiss National Research Council. She has served as a CRA-W mentor, and is a member of the Expert Network of the World Economic Forum.

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