IISWC-2017 October 1-3, 2017  Seattle, Washington, USA

Abstracts Submission : June 2, 2017 (11:59:59PM EST) May 26, 2017

Paper Submission : June 9, 2017 (11:59:59PM EST) June 2, 2017

Acceptance Notification : August 1, 2017

Final Manuscript Submission : August 28, 2017

 

Topics of Interest

We solicit papers in all areas related to characterization of computing system workloads. Topics of interest include (but are not limited to):

Characterization of applications in domains such as

• Cloud, grid, search engines, e-commerce, web, databases, file/application servers
• Embedded, real-time, Edge Computing, mobile and extensible distributed systems, multimedia
• Memory, storage, and file systems
• Life sciences, bioinformatics, scientific computing, finance, forecasting
• Management and/or analytics big data, machine Learning, Analytics, Data mining and other data-intensive computation
• Security, reliability, biometrics
• User behavior and system-user interaction, social computing
• Cyber-physical systems, pervasive computation and Internet of Things (IoT)

Characterization of workload on emerging technology, such as

• Quantum computation and communication
• Near-threshold Computation
• Non-volatile memory

Characterization of OS, Virtual Machine, middleware and library behavior

• Virtual machines, Websphere, .NET, Java VM, databases
• Graphics libraries, scientific libraries
• Operating system and hypervisor effects and overheads

Implications of workloads in design issues, such as

• Reliability, performance, power, security and privacy, scalability, and sustainability
• Processors, memory hierarchy, I/O, and networks
• Performance accelerators, FPGA’s, GPU’s, etc.
• Near data processing architectures
• Novel architectures (non-Von-Neumann)

Benchmark creation and evaluation, including

• Multithreaded benchmarks, benchmark cloning
• Profiling, trace collection, synthetic traces
• Validation of benchmarks

Measurement tools and techniques, including

• Instrumentation methodologies for workload verification and characterization
• Techniques for accurate analysis/measurement of production systems
• Analytical and abstract modeling of program behavior and systems