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Purdue System Software and Architecture Lab

Purdue System Software and Architecture Lab. Personnel Faculty: David K. Y. Yau Graduate students: Srijan Chakraborty, Jerry Dong, Seung Chul Han, Xuxian Jiang, Puneet Zaroo Postdoc researcher: Feng Liang Sponsors NSF, CERIAS and industry affiliates, Indiana state government, PRF.

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Purdue System Software and Architecture Lab

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  1. Purdue System Software and Architecture Lab • Personnel • Faculty: David K. Y. Yau • Graduate students: Srijan Chakraborty, Jerry Dong, Seung Chul Han, Xuxian Jiang, Puneet Zaroo • Postdoc researcher: Feng Liang • Sponsors • NSF, CERIAS and industry affiliates, Indiana state government, PRF

  2. SSAL Research Agenda • How can we architect and engineer a large-scale heterogeneous network with predictable, robust and secure performance, and able to meet the needs of user applications? • Goals: in research, enable innovations; in practice, make an impact on how people compute

  3. Current and Recent SSAL Projects • End system resource management • complete thread scheduling environment [MMCN 01] (decoupled delay/rate allocation, dynamic priority inheritance, cross-domain scheduling, interrupt issues, protocol processing subsystem [ICNP 97, ToN 98], adaptation mechanism [Multimedia 96, ToN 97]) • interactions between components are hard!

  4. SSAL Projects (2) • Extensible software-programmable routers • multiresource scheduling and QoS composition on CROSS [JSAC 01] • QoS-aware service configuration and remote loading on demand: CROSS/Linux [CS TR-01-019] • software IC’s as router components (w/ J. Hou /UIUC) • Network security • DDoS defense as resource management problem [IWQoS 02]

  5. SSAL Projects (3) • Differentiated services (w/ J. Lui/CUHK) • proportional-delay packet scheduler (feasibility condition for target delay spacings, efficient algorithm for computing feasible spacings [ICNP 00], adaptation to dynamic traffic, end-to-end performance [ToN 01]) • proportional-delay diffserv-enabled web server (admission control and adaptation issues [SIGMETRICS 02])

  6. SSAL Projects (4) • Multimedia coding • Lossless smoothing of MPEG traffic (predictive algorithm without prior knowledge of traffic [SIGCOMM 94, ToN 96]) • Automatic semantic object extraction from video w/ J. Fan / UNC (bandwidth-efficient video browsing, semantic object model and tracking [IEEE Trans Image Processing 01, JEI 00])

  7. SSAL Projects (5) • Ubiquitous network computing • adaptive handheld energy management, MPEG video playback energy prediction [Chakraborty and Yau, submitted] • energy issues of large-scale, peer-to-peer adhoc routing (save energy by exploiting correlation between peers and subject to real-time constraints)

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