News
Apr 08, 2013: Keynote slides posted.
Mar 31, 2013: Keynote details are now available.
Feb 27, 2013: Panel discussion details added to the program.
Jan 21, 2013: Workshop program is now available.
Oct 30, 2012: Paper submission deadline extended to November 6.
Aug 26, 2012: Program Committee selected.
Aug 20, 2012: Call for papers is now available.
Workshop Overview
Cloud computing has emerged as a promising computing and business model.
By decoupling the management of the infrastructure (cloud providers) from its use (cloud tenants),
and by allowing the sharing of massive infrastructures, cloud computing delivers unprecedented
economical and scalability benefits for existing applications and enables many new scenarios.
This comes at the cost of increased complexity in managing a highly multi-tenant infrastructure and
limited visibility/access posing new questions on attribution, pricing, isolation, scalability, fault-tolerance,
load balancing, etc. This is particularly challenging for stateful, data-intensive applications.
This unique combination of opportunities and challenges attracted much attention from both academia and
industry. The DMC workshop aims at bringing researchers and practitioners in cloud computing and
data management systems together to discuss the research issues at the intersection of these two areas, and
also to draw more attention from the larger data management and systems research communities to this new
and highly promising field.
Topics
The DMC workshop calls for contributions that address fundamental research, system issues, and industrial experiences in cloud data management including, but not limited to, the following topics:
- Elasticity for could data management systems
- Resource and workload management in cloud databases
- Multi tenancy / isolation
- High availability and reliability in cloud databases
- Cloud computing infrastructures design for cloud data services
- Transactional models for cloud databases
- Virtualization and cloud databases
- Distributed and massively parallel query processing
- Analytics in the cloud
- Storage architectures and technologies for cloud databases
- Privacy and security in cloud data management
- Mobile cloud data management
- Cross-platform interoperability
- Service-level agreements
- Economic/business models and pricing policies
- Novel data-intensive/data-rich computing applications
Important Dates
Paper submission deadline: Thursday, November 1 Tuesday, November 6, 2012, 5:00pm Pacific Standrad Time (PST)
Author notification: December 5, 2012
Camera-ready papers due: December 21, 2012
Conference date: April 8, 2013
Paper Submission
Authors are invited to submit original research contributions that are not currently under review or published elsewhere.
All submissions must be prepared in the IEEE camera-ready format (templates are available at http://www.icde2013.org/sub.html).
Papers should not exceed 6 pages in length for submission (two extra pages will be allowed for the camera ready).
All accepted papers will be published in the ICDE proceedings and will also become publicly available through IEEE Xplore.
All papers should be submitted in PDF format using the online submission system at:
https://cmt.research.microsoft.com/DMC2013/
Workshop Co-Chairs
Program Committee
- Ugur Cetintemel, Brown University
- Sameh Elnikety, Microsoft Research
- Dennis Fetterly, Microsoft Research
- Michael Franklin, University of California - Berkeley
- Hakan Hacigumus, NEC Labs
- Mohamed Hefeeda, Qatar Computing Research Institute
- Alfons Kemper, Technische Universitaet Muenchen
- Donald Kossmann, ETH Zurich
- Tim Kraska, Brown University
- Umar Farooq Minhas, University of Waterloo
- Barzan Mozafari, Massacheusetts Insititute of Technology
- Jun Rao, LinkedIn
- Kenneth Salem, University of Waterloo
- Russell Sears, Microsoft
- Khawaja Shams, NASA Jet Propulsion Laboratory
- Alex Shraer, Google
- Adam Silberstein, LinkedIn
- Nesime Tatbul, ETH Zurich
- Yuan Yu, Microsoft Research
Workshop Program
09:00 - 10:30 |
Keynote Presentation
MIND THE GAP: Managing Multi-Data Center Data (slides)
Amr El Abbadi (University of California - Santa Barbara)
|
10:30 - 11:00 |
Break
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11:00 - 12:30 |
Paper Session 1
HotROD: Managing Grid Storage with On-Demand Replication
Sriram Rao (Microsoft), Benjamin Reed (Osmeta), Adam Silberstein (Trifacta)
Materialized Views for Eventually Consistent Record Stores
Changjiu Jin (U Waterloo), Rui Liu (U Waterloo), Kenneth Salem (U Waterloo)
Packing Light: Portable Workload Performance Prediction for the Cloud
Jennie Duggan (Brown Univ), Yun Chi (NEC Labs of America), Hakan Hacigumus (NEC Labs of America), Shenghuo Zhu (NEC Labs of America), Ugur Cetintemel (Brown Univ)
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12:30 - 13:30 |
Lunch
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13:30 - 15:00 |
Paper Session 2
P-Mine: Parallel Itemset Mining on Large Datasets
Elena Baralis (Politecnico di Torino), Tania Cerquitelli (Politecnico di Torino), Silvia Chiusano (Politecnico di Torino), Alberto Grand (Politecnico di Torino)
Towards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers
Yang Li (U Penn), David Chiu (Washington State Univ), Changbin Liu (AT&T Labs), Linh T.X. Phan (U Penn), Tanveer Gill (U Penn), Sanchit Aggarwal (U Penn), Zhuoyao Zhang (U Penn), Boon Thau Loo (U Penn), David Maier (Portland State U), Bart McManus (Bonneville Power Administration)
ISP Business Models in Caching
Jörn Künsemöller (Univ Paderborn), Nan Zhang (Aalto Univ), João Soares (Portugal Telecom Inovacao)
|
15:00 - 15:30 |
Break
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15:30 - 17:00 |
Panel Discussion
Data Management in the Cloud - Where are We? And Where to Next?
Panelists: Hakan Hacigumus (NEC Labs America) Boon Thau Loo (University of Pennsylvania) David Maier (Portland State University) Sriram Rao (Microsoft) Markus Weimer (Microsoft)
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Keynote Presentation
MIND THE GAP: Managing Multi-Data Center Data
Amr El Abbadi (University of California - Santa Barbara)
Abstract Over the past few years, cloud computing and the growth of global large
scale computing systems have led to applications which require data
management across multiple datacenters. Initially key-value stores were
proposed to provide single row level operations with eventual
consistency. Although key-value stores provide high availability, they
are not ideal for applications that require consistent data views. More
recently, there has been a gradual shift to provide transactions with
strong consistency, for example Google's Megastore and Spanner. In this
talk, we will explore the data management design space for
geo-replicated data and discuss different approaches starting from
key-value stores to providing full transactional execution while
replicating data in multi-datacenter environments.
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Bio
Amr El Abbadi is a Professor of Computer Science Department at the
University of California, Santa Barbara. He received his B. Eng. from
Alexandria University, Egypt, and his Ph.D. from Cornell University.
Prof. El Abbadi is an ACM Fellow, an AAAS Fellow and was Chair of the
Computer Science Department at UCSB from 2007 to 2011. He has served as
a journal editor for several database journals, including, currently,
The VLDB Journal. He has been Program Chair for multiple database and
distributed systems conferences, most recently ACM SIGSPATIAL GIS 2010,
ACM Symposium on Cloud Computing (SoCC) 2011, the International
Conference on Management of Data (COMAD), India in 2012 and the ACM
Conference on Social Networks (COSN) 2013. He has served as a board
member of the VLDB Endowment from 2002—2008, and is currently a member
of the Executive Committee of the Technical Committee of Data
Engineering (TCDE). In 2007, Prof. El Abbadi received the UCSB Senate
Outstanding Mentorship Award for his excellence in mentoring graduate
students. He has published over 280 articles in databases and
distributed systems.