Software infrastructure and their performance, scalability, and availability

This track invites papers dealing with performance, scalability and reliability issues in web systems and web software infrastructure. This includes work ranging from web protocols and content distribution systems to the architecture of large-scale systems for web data serving, data analysis, crowdsourcing, and cloud computing and storage.

Topics

  • Caching, replication, and content distribution networks
  • Improving the performance, scalability and availability of real-world web systems
  • Quality of service, service level agreements (SLAs), service models, and pricing schemes in cloud computing and web systems
  • Capacity planning, resource provisioning, monitoring, and management of web systems
  • Workload, performance characterization, modeling and management
  • Availability, fault-tolerance, and load balancing
  • Design, implementation, and performance of large data serving and data analysis platforms
  • Software infrastructure for web-based crowdsourcing systems and human computation
  • Basic infrastructure and performance issues for pervasive and mobile web services
  • Architectures and frameworks for Web services and web applications
  • Using and designing cloud platforms for web data and web applications
  • Testing for web services and web applications, and evaluation of cloud platforms
  • Virtualization technologies in web systems
  • Challenges in designing applications and services that utilize resources across multiple clouds (both public and private)

Track chair

  • Torsten Suel ( NYC-Poly )
  • Zhi-Li Zhang ( U of Minnesota )

TPC Members

  • Alexander Shraer (Google)
  • Anja Feldmann
  • Beng Chin Ooi (National University of Singapore)
  • Daniel Figueiredo (COPPE/UFRJ)
  • Giovanni Pacifici (IBM Research)
  • Greg Malewicz (Facebook)
  • Jacobus Vandermerwe
  • John C.S. Lui (The Chinese University of Hong Kong)
  • Krishna Kant (Intel Corporation)
  • Maja Vukovic (IBM Research)
  • Malgorzata Steinder (IBM Research)
  • Martin May (Technicolor)
  • Michael Rabinovich (Case Western Reserve University)
  • Michele Colajanni (University of Modena)
  • Pablo Rodriguez (Telefonica Research)
  • Philippe Cudré-Mauroux (U. of Fribourg)
  • Purushottam Kulkarni (IIT Bombay)
  • Ramesh Sitaraman (Department of Computer Science, University of Massachusetts, Amherst, MA 01003)
  • Sambit Sahu (IBM Research)
  • Sandeep Uttamchandani
  • Subhabrata Sen (AT&T Research)
  • Virgilio Almeida (UFMG)
  • Zhen Xiao (Peking University)