Session 1: Introduction (Session Chair: Ian Adams)
Opening remarks (15min)

Keynote Talk
Oh, what a tangled web we weave: practice and deception in system analysis

Erez Zadok, Stony Brook University

Coffee Break
Session 2: New Horizons in Characterization (Session Chair: TBD)

Student Papers (20min each)

Tracing of Complex Production Systems: Obstacles and Solutions
Marc-André Vef (Johannes Gutenberg University Mainz), Vasily Tarasov (IBM Research), Dean Hildebrand (IBM Research) and André Brinkmann (Johannes Gutenberg University Mainz)
    (pdf) (slides)

Spot Characterization: What Are the Right Features to Model
Qianlin Liang, Cheng Wang and Bhuvan Urgaonkar (Penn State University)
(pdf) (slides)

The theoretic model of an event and failure prediction using Collaborative Filtering method
Andrzej Sobecki (Gdansk University of Technology)

Decrease SLA Violations and Data Centre Energy Consumption via Prediction with a Hybrid algorithm
Seyedhamid Mashhadi Moghaddam, Michael O’sullivan and Cameron Walker (University of Auckland)
     (pdf) (slides)
Session 3: Planning for the Future (Session Chair: Avani Wildani)
Keynote Talk (60min)

Plumbing the depths of cloud storage: the challenges with I/O tracing and analysis

Mike Mesnier, Intel Research
Coffee Break
Panel Discussion
Topics in tracing, analysis and applications of system data.

A panel of opinionated stakeholders will discuss hot button issues such as:
  • Storage workload labels are meaningless!
  • We’re designing systems for old problems!
  • Metrics are inconsistent!
  • Is locality useful?
  • Is there value in standardization of workload classifications / features?

We welcome any of you who will be attending SAC to join this panel
Moderators: Ian Adams, Avani Wildani
Roundtable Discussions and Closing Remarks