Семинар за рачунарство и примењену математику, 29. јун 2021.

Наредни састанак Семинара биће одржан онлајн у уторак, 29. јуна 2021. са почетком у 14.15 часова.

Предавач: Душан Рамљак, West Texas А&M College of Engineering, USA


Апстракт: The emerging systems are not only generating huge amounts of data but also expect this data to be analyzed expeditiously to drive online decision-making and control. Thus, identifying the most relevant data and making it available close to the computation becomes a central challenge in driving the big data revolution. Storage systems play a crucial role in enabling efficient access to the stored data and intelligent storage management techniques are thus central to addressing the problem. Generally, as the data volume increases, the marginal utility of an "average" data item tends to decline, which requires greater effort in identifying the most valuable data items and making them available with minimal overhead and latency. Data driven mechanisms have a big role to play in solving this needle-in-the-haystack problem. We will guide you through a taxonomy to provide a structure for understanding the common issues surrounding these techniques. We discuss these techniques and articulate many research challenges and opportunities.

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