Abbrevation
NAS
City
Long Beach
Country
United States
Deadline Paper
Start Date
End Date
Abstract

The International Conference on Networking, Architecture, and Storage provides a high&#8211;quality international forum to bring together researchers and practitioners from academia and industry to discuss cutting&#8211;edge research on networking, high&#8211;performance computer architecture, and parallel and distributed data storage technologies&#046; NAS 2016 will expose participants to the most recent developments in the interdisciplinary areas&#046;<br>Topics (Topics of interest include but are not limited to the list as follow)<br>&#8211; Processor, cache, memory system architectures<br>&#8211; Parallel and multi&#8211;core architectures<br>&#8211; GPU architecture and programming<br>&#8211; Data&#8211;center scale architectures<br>&#8211; Architecture for handheld or mobile devices<br>&#8211; Accelerator&#8211;based architectures<br>&#8211; Application&#8211;specific, reconfigurable or embedded architectures<br>&#8211; HW/SW co&#8211;design and tradeoffs<br>&#8211; Power and energy efficient architectures and techniques<br>&#8211; Effects of circuits and emerging technology on architecture<br>&#8211; Cloud and grid computing<br>&#8211; Architecture, networking or storage modeling and simulation methodologies<br>&#8211; Non&#8211;volatile memory technologies<br>&#8211; Mobile and wireless networks Ad hoc and sensor networks<br>&#8211; Network security<br>&#8211; Network information theory<br>&#8211; Software defined networking<br>&#8211; Network applications and services<br>&#8211; Network architecture and protocols<br>&#8211; Virtual and overlay networks<br>&#8211; Network modeling and measurement<br>&#8211; Storage management<br>&#8211; Storage performance and scalability<br>&#8211; File systems, object&#8211;based storage<br>&#8211; Energy&#8211;aware storage<br>&#8211; SSD architecture and applications<br>&#8211; Parallel I/O<br>&#8211; Cloud storage<br>&#8211; Storage virtualization and security<br>&#8211; Software defined storage<br>&#8211; Big Data infrastructure<br>&#8211; Big Data services and analytics<br>