TECHNICAL PROGRAM

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All sessions will take place in Salons G–H unless otherwise noted.

Tech Sessions:
Tuesday, June 14 | Wednesday, June 15

Introduction and Logistics

USENIX HotCloud '11 Program Co-Chairs: Ion Stoica and John Wilkes

Scheduling and Resource Management

Session Chair: Byung-Gon Chun, Yahoo! Research

Static Scheduling in Clouds
Thomas A. Henzinger, Anmol V. Singh, Vasu Singh, Thomas Wies, and Damien Zufferey, IST Austria

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Migration, Assignment, and Scheduling of Jobs in Virtualized Environment
Seung-Hwan Lim, Pennsylvania State University; Jae-Seok Huh and Youngjae Kim, Oak Ridge National Laboratory; Chita R. Das, Pennsylvania State University

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Cloud Scale Resource Management: Challenges and Techniques
Ajay Gulati, Ganesha Shanmuganathan, Anne Holler, and Irfan Ahmad, VMware, Inc.

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Heterogeneity-Aware Resource Allocation and Scheduling in the Cloud
Gunho Lee, University of California, Berkeley; Byung-Gon Chun, Yahoo! Research; Randy H. Katz, University of California, Berkeley

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Economics

Session Chair: Andrew Warfield, University of British Columbia

To Move or Not to Move: The Economics of Cloud Computing
Byung Chul Tak, Bhuvan Urgaonkar, and Anand Sivasubramaniam, The Pennsylvania State University

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Cutting MapReduce Cost with Spot Market
Huan Liu, Accenture Technology Labs

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Exertion-based Billing for Cloud Storage Access
Matthew Wachs and Lianghong Xu, Carnegie Mellon University; Arkady Kanevsky, VMware; Gregory R. Ganger, Carnegie Mellon University

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Panel: What do academics need/want to know about cloud clusters?

Panelists: Chris Colohan, Google; Greg Ganger, Carnegie Mellon University; David A. Maltz, Microsoft Research; Andrew Warfield, University of British Columbia

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Security

Session Chair: Aditya Akella, University of Wisconsin–Madison

The HybrEx Model for Confidentiality and Privacy in Cloud Computing
Steven Y. Ko and Kyungho Jeon, University at Buffalo, The State University of New York; Ramsés Morales, Xerox Research Center Webster

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A Position Paper on Data Sovereignty: The Importance of Geolocating Data in the Cloud
Zachary N.J. Peterson, Mark Gondree, and Robert Beverly, Naval Postgraduate School

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Privacy-Sensitive VM Retrospection
Wolfgang Richter, Carnegie Mellon University; Glenn Ammons, IBM Research; Jan Harkes, Carnegie Mellon University; Adam Goode, Google; Nilton Bila and Eyal de Lara, University of Toronto; Vasanth Bala, IBM Research; Mahadev Satyanarayanan, Carnegie Mellon University

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EVE: Verifying Correct Execution of Cloud-Hosted Web Applications
Suman Jana and Vitaly Shmatikov, The University of Texas at Austin

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Networking & Energy

Session Chair: David Maltz, Microsoft

Jellyfish: Networking Data Centers, Randomly
Ankit Singla and Chi-Yao Hong, University of Illinois at Urbana–Champaign; Lucian Popa, University of California, Berkeley; P. Brighten Godfrey, University of Illinois at Urbana–Champaign

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SilverLine: Data and Network Isolation for Cloud Services
Yogesh Mundada, Anirudh Ramachandran, and Nick Feamster, Georgia Tech

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Enabling Consolidation and Scaling Down to Provide Power Management for Cloud Computing
Frank Yong-Kyung Oh, Hyeong S. Kim, Hyeonsang Eom, and Heon Y. Yeom, Seoul National University

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The Data Furnace: Heating Up with Cloud Computing
Jie Liu, Michel Goraczko, Sean James, and Christian Belady, Microsoft Research; Jiakang Lu and Kamin Whitehouse, University of Virginia

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Poster Session

Lower Level 2

This session provides an opportunity to present early-stage work and receive feedback from the community. Each HotCloud '11 paper will be presented, as well as additional posters listed here.

Joint ATC, WebApps, and HotCloud Keynote Address

Salon E

An Agenda for Empirical Cyber Crime Research
Speaker: Stefan Savage, Director of the Collaborative Center for Internet Epidemiology and Defenses (CCIED) and Associate Professor, UCSD

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Computer security is a field that is fundamentally co-dependent—driven to respond by the actions of adversaries. This dance fuels both the research community and a multi-billion-dollar computer security industry. However, to date most efforts have focused on the technical components of this battle: identifying new vulnerabilities, exploits, and attacks, building and deploying new defenses, and so on. In this talk, I will argue for a complementary research agenda based on understanding the business models that drive today's Internet attacks, deconstructing the underlying value chain for attackers and ultimately using this information to better focus on security interventions. I will provide a rough sketch of the modern cyber-criminal ecosystem, describe its dependencies, and highlight some of the key open questions that motivate our focus. Using a range of activities, including our own completed studies, work in progress, and work in development, I'll illustrate how many of these questions can be tackled empirically. Along the way, I'll discuss the real and significant challenges in conducting this sort of research and how we address these issues in practice. Finally, I'll play pundit and predict where the greatest opportunities for impact are likely to be found.

Stefan Savage is a professor of Computer Science and Engineering at the University of California, San Diego. He received his Ph.D. in Computer Science and Engineering from the University of Washington and a B.S. in Applied History from Carnegie Mellon University. Savage's research interests lie at the intersection of distributed systems, networking, and computer security, with a current focus on embedded security and the economics of cybercrime. He currently serves as director of UCSD's Center for Network Systems (CNS) and as co-director for the Cooperative Center for Internet Epidemiology and Defenses (CCIED), a joint effort between UCSD and the International Computer Science Institute. Savage is a fairly down-to-earth guy and only writes about himself in the third person when asked.

OSes and Frameworks ("There is an OS/App for that!")

Session Chair: Rodrigo Fonseca, Brown University

Unshackle the Cloud!
Dan Williams, Cornell University; Eslam Elnikety and Mohamed Eldehiry, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; Hani Jamjoom and Hai Huang, IBM T. J. Watson Research Center; Hakim Weatherspoon, Cornell University

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The Datacenter Needs an Operating System
Matei Zaharia, Benjamin Hindman, Andy Konwinski, Ali Ghodsi, Anthony D. Joseph, Randy Katz, Scott Shenker, and Ion Stoica, University of California, Berkeley

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Large-scale Incremental Data Processing with Change Propagation
Pramod Bhatotia, Alexander Wieder, İstemi Ekin Akkuş, Rodrigo Rodrigues, and Umut A. Acar, Max Planck Institute for Software Systems (MPI-SWS)

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TransMR: Data-Centric Programming Beyond Data Parallelism
Naresh Rapolu, Karthik Kambatla, Suresh Jagannathan, and Ananth Grama, Purdue University

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Performance

Session Chair: Michael A. Kozuch, Intel Labs Pittsburgh

Modeling the Parallel Execution of Black-Box Services
Gideon Mann and Mark Sandler, Google Inc.; Darja Krushevskaja, Rutgers University; Sudipto Guha, University of Pennsylvania; Eyal Even-Dar, Final Inc.

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CloudSense: Continuous Fine-Grain Cloud Monitoring with Compressive Sensing
H. T. Kung, Chit-Kwan Lin, and Dario Vlah, Harvard University

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Virtual Machine Images as Structured Data: The Mirage Image Library
Glenn Ammons, Vasanth Bala, Todd Mummert, Darrell Reimer, and Xiaolan Zhang, IBM Research

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Accelerating the Cloud with Heterogeneous Computing
Sahil Suneja, Elliott Baron, Eyal de Lara, and Ryan Johnson, University of Toronto

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HotCloud Concluding Remarks

USENIX HotCloud '11 Program Co-Chairs: Ion Stoica and John Wilkes

Cloud Computing and Data Centers
(Joint Session with ATC)

Salon E

Session Chair: Alex C. Snoeren, University of California, San Diego

HiTune: Dataflow-Based Performance Analysis for Big Data Cloud
Jinquan Dai, Jie Huang, Shengsheng Huang, Bo Huang, and Yan Liu, Intel Asia-Pacific Research and Development Ltd.

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Taming the Flying Cable Monster: A Topology Design and Optimization Framework for Data-Center Networks
Jayaram Mudigonda, Praveen Yalagandula, and Jeffrey C. Mogul, HP Labs

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In-situ MapReduce for Log Processing
Dionysios Logothetis, University of California, San Diego; Chris Trezzo, Salesforce.com, Inc.; Kevin C. Webb and Kenneth Yocum, University of California, San Diego

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Invited Talk
(Joint Session with ATC and WebApps)

Salon E

Helping Humanity with Phones and Clouds
Matthew Faulkner, graduate student in Computer Science at Caltech, and Michael Olson, graduate student in Computer Science at Caltech

Meeting global challenges requires informed decisions. Often, these decisions require gathering data across geographic regions over time, detecting patterns that indicate significant events, formulating best responses to an event, then executing and monitoring those responses. Such decisions are made when deploying first responses to earthquakes, providing health care to people in under-served remote areas, and monitoring natural resources. Smart phones and tablets enable acquisition of data from almost anywhere on the globe. Cloud computing, likewise, enables aggregation and analysis from anywhere on the globe. This talk describes research on applications combining phones and clouds for earthquake detection and rural health care. We show how coupling community sensing and citizen participation to phones and clouds could radically improve the way that technology serves humanity, including the less fortunate, around the globe.

Matthew Faulkner is a graduate student in Computer Science at Caltech. He received an S.B (2008) and an M.Eng. (2009) in Computer Science from MIT. His research interests are in machine learning, distributed systems, and sensor networks.

Michael Olson is a graduate student in Computer Science at Caltech. He received a B.S. (2004) in Computer Science from Carnegie Mellon. His research interests are in distributed systems, sensor networks, and event processing.