IISWC 2010 - 2010 IEEE International Symposium on Workload Characterization

Website www.iiswc.org/iiswc2010 | Edit Freely

Category Workload Characterization

Deadline: June 25, 2010 | Date: December 02, 2010

Venue/Country: Atlanta, U.S.A

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

Abstracts Due: June 18, 2010

Paper Submission: June 25, 2010

Acceptance Notification: August 31, 2010

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 areas including

o Search engines, e-commerce, web services, databases, file/application servers

o Embedded, mobile, multimedia, real-time, 3D-Graphics, gaming, telepresence

o Life sciences, bioinformatics, scientific computing, finance, forecasting

o Security, reliability, biometrics

o Grid and Could computing

Characterization of OS, Virtual Machine, middleware and library behavior

o Virtual machines, Websphere, .NET, Java VM, databases

o Graphics libraries, scientific libraries

Characterization of system behavior, including

o Operating system and hypervisor effects and overheads

o Effects due to virtualization and dynamic optimization

o Hardware accelerators (GPGPU, XML, crypto, etc)

o Failures, availability, and reliability

o User behavior and system-user interaction

o Instrumentation methodologies for workload verification and characterization

o Techniques for accurate analysis/measurement of production systems

Implications of workloads in design issues, such as

o Power management, reliability, security, performance

o Processors, memory hierarchy, I/O, and networks

Benchmark creation, analysis, and evaluation issues, including

o Multithreaded benchmarks, benchmark cloning

o Profiling, trace collection, synthetic traces

o Validation of benchmarks

Analytical and abstract modeling of program behavior and systems

Emerging and future workloads

o Transactional memory workloads; workloads for multi/many-core systems

o Stream-based computing workloads; web2.0/internet workloads