IEEE International Workshop on Cloud Analytics (IWCA, 2014) (
http://www.cs.ucsb.edu/~rich/IWCA-1/), March 11, Boston, USA, 2014
in conjunction with
International Conference on Cloud Engineering (IC2E, 2014)
(
http://conferences.computer.org/IC2E/2014/) Boston, USA, March 11-14, 2014
*****************************************************************************
*KEYNOTE SPEAKER*Dennis Gannon, Director of Cloud Research Strategy at Microsoft Research will give the keynote.
Dennis is the Director of Applications for the Cloud Computing
Futures Group. Prior to coming to Microsoft, he was a professor of
Computer Science at Indiana University and the Science Director for the
Indiana Pervasive Technology Labs and, for seven years, Chair of the
Department of Computer Science. His research interests include
large-scale cyberinfrastructure, programming systems and tools,
distributed computing, computer networks, parallel programming,
computational science, problem solving environments and performance
analysis of Grid and MPP systems. He led the DARPA HPC++ project and he
was one of the architects of the Department of Energy SciDAC Common
Software Component Architecture (CCA). He was a partner in the NSF
Computational Cosmology Grand Challenge project, the NSF Linked
Environments for Atmospheric Discovery and the NCSA Alliance. He served
on the steering committee of the GGF, now the Open Grid Forum and the
Executive Steering Committee of the NSF Teragrid where he managed the
TeraGrid Science Advisory Board. He was the Program Chair for the IEEE
2002 High Performance Distributed Computing Conference, the General
Chair of the 1998 International Symposium on Scientific Object Oriented
Programming Environments and the 2000 ACM Java Grande Conference, and
Program Chair for the 1997 ACM International Conference on
Supercomputing as well as the 1995 IEEE Frontiers of Massively Parallel
Processing. He was the Program Chair for the International Grid
Conference, Barcelona, 2006 and co-chair of the 2008 IEEE e-Science
Conference. While he was Chair of the Computer Science Department at
Indiana University, he led the team that designed the University’s new
School of Informatics. For that effort he was given the School’s Hermes
Award in 2006. He has published over 100 refereed articles and co-edited
3 books. He received his Ph.D. in Computer Science from the University
of Illinois Urbana-Champaign in 1980 after receiving a Ph.D. in
Mathematics from the University of California, Davis.
*DEADLINES*
Paper submission due: November 24, 2013
Notification of acceptance: December 22, 2013
Final camera-ready papers due: January 17, 2014*GOAL OF THE WORKSHOP*
Cloud computing promises unlimited, cost-effective and agile
computing resources for users. However, this new computing paradigm also
poses a unique set of challenges to both cloud providers and users. On
the one hand, cloud providers need to ensure that resources being
provided are highly available and deliver high performance, while
optimizing cloud infrastructure to reduce their operational costs. On
the other hand, cloud users need to ensure that their applications
receive the best performance from the cloud, while maintaining their
budgetary constraints and the terms of any Service Level Agreements
(SLAs) they have with their cloud providers.
Given the scale of cloud deployment, systematic analytical
approaches are critically needed to provide insights to both providers
and users to achieve their respective goals. For instance, cloud
providers need to constantly be aware of the running status and/or
anomalies in functionality from their cloud, to be able to quickly fix
any issues that may arise, to adjust physical resource allocations to
ensure that their customers get best performance, or plan which services
to offer to get the best return on investment. Similarly, cloud users
need to understand the workload to be deployed into the cloud, plan the
deployment in a cost-effective way, or ascertain the flexibility and
service quality provided by different cloud environments and use this to
decide their deployment strategy. Analytics can play a pivotal role in
all these scenarios. By gathering insights from the large amount of data
from the cloud, both cloud providers and consumers can develop
analytical approaches to achieving their respective objectives in spite
of the scale that clouds provide.
The purpose of this workshop is to provide a forum for researchers in the related fields to
exchange
ideas, and share their experiences in developing analytics to better
deploy, operate and use the cloud. Specifically, we seek and wish to
foster research contributions that draw on statistical analysis,
analytical modeling, and machine learning to develop novel solutions in
this problem area.
*TOPICS OF INTEREST*Topics of interest include, but are not limited to, the following:
• Cloud workload measurement and analysis
• Workload behavior modeling
• Analytics for application deployment in cloud
• Performance modeling of cloud applications
• Cloud performance benchmarking
• Resource utilization optimization
• Tracing and problem identification in cloud systems
• Log and monitoring data analysis
• Problem diagnosis and troubleshooting
• Security and intrusion detection
• Reliability engineering, fault management, and disaster recovery
• Design and implementation of analytics systems
• Business optimization in cloud operations
*PAPER SUBMISSION*
The IWCA workshop invites authors to submit original and unpublished
work. Papers should not exceed 6 pages in IEEE style (single-spaced
2-column text using 10-point size type on A4 paper). Authors should
submit a PostScript (level 2) or PDF file that will print on a
PostScript printer.
• Electronic submission only via the IWCA14 Submission site
• All selected papers will be peer-reviewed
• For each accepted paper, at least one author is required to register and present the paper at the workshop
• All accepted papers will be published with IEEE Xplore.
• We will
submit all accepted workshop papers for possible publication in a
special issue of the International Journal on Big Data Intelligence.
*ORGANIZING COMMITTEE*
Co-Chairs:
Shu Tao (IBM T J Watson Research)
Rich Wolski (UCSB)
Publicity Chair:
Rahul Singh (IBM T J Watson Research)
Program Committee:
Theophilus Benson (Duke University)
Yanpei Chen (Cloudera)
Yuan Chen (HP Labs)
David Irwin (UMass, Amherst)
Thilo Kielmann (VU University, Amsterdam)
Ningfang Mi (Northeastern University)
Lavanya Ramakrishnan (Lawrence Berkeley National Lab)
Prashant Shenoy (UMass, Amherst)
Christopher Charles Stewart (Ohio State University)
Evgenia Smirni (William and Mary)
Chunqiang Tang (Facebook)
Jon Weissman (University of Minnesota)
Timothy Wood (George Washington University)
Lydia Chen (IBM Zurich Research)
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