DaMoN 2009 Logo

Fifth International Workshop on
Data Management on New Hardware
(DaMoN 2009)

Providence, Rhode Island

June 28, 2009

Colocated with


Call for Papers
Submission Instructions
Camera-Ready Instructions
Accepted Papers
Workshop Program
Previous Offerings

Important Dates

Submission Deadline:
 April 22, 2009
 1:00pm PST
 May 15, 2009
Camera-Ready Due:
 June 6, 2009
 5:00pm PST
 June 28, 2009

.: Panel Discussion

Green database computing: should we care?

Stavros Harizopoulos (HP Labs)

John Cieslewicz (Aster Data)
Jignesh Patel (Univ. Wisconsin)
Daniel Abadi (Yale University)

Costs related to power and cooling in large-scale data centers are soon expected to overtake server hardware costs. Given the growing popularity of cloud computing and recent trends of consolidation of IT operations in large enterprises, it is reasonable to expect that a large portion of database management installations will move away from dedicated servers into large-scale data centers. Pricing of such installations and provisioning of hardware resources will need to change accordingly to reflect the new pricing models, which in turn will reflect power costs, and the dynamic nature of hardware resource allocation. Up until now, database software developers and researchers, besides exploring new functionality in the various offerings, have mostly focused on improving performance. Should the new focus be on improving energy efficiency instead? Or is power best managed at the data center and platform design level?

Undoubtedly, innovations at the hardware front and cooling methods will continue. As the energy-efficiency of individual hardware components improves, data-center designers and operators will strive to achieve "energy-proportionality," a mode of operation where any given workload results into energy consumption that is proportional to the actual fraction of resources used. But what is the role of database software inside a well-tuned and well-managed data center? Specifically, what is the potential of a DBMS to significantly affect energy use by dictating hardware resource use in all data management operations? Besides obvious choices in database setup and configuration, database software is well equipped to perform several hardware resource-use tradeoffs due to physical data independence and query optimization. Does this, however, warrant a thorough re-examination of database software choices, and should the database systems community steer their efforts away from pure performance to energy-efficiency instead?

In this panel, we expect our panelists to present arguments covering the full spectrum of reactions: from solely supporting hardware-based techniques and innovations to supporting a drastic shift in the research agenda of the database systems community, moving away from performance considerations to just energy-related concerns.

Call for Papers | Registration | Submission Instructions | Camera-Ready Instructions | Accepted Papers | Program | Previous Offerings | Sponsors