Workshop on Resource-Efficient Cloud Computing

Final Submission Deadline
March 30, 2015

Submitted by Christina Delimitrou

Workshop on Resource-Efficient Cloud Computing
In conjunction with ISCA 2015
June 14, 2015
With large-scale datacenters increasing in size and number, the challenge to
improve their efficiency is becoming more pressing. The goal of the workshop is
to bring together cloud computing researchers from academia and industry,
underline the most pressing challenges in large-scale system design, and
encourage new ways of improving the efficiency of these systems. We plan to
structure the workshop as a combination of invited talks from key people in the
area, and early-idea position papers.

Topics include but are not limited to:

– Hardware support for resource partitioning and isolation
– Scheduling, resource management and cloud provisioning systems
– Software techniques for enforcing resource isolation
– Runtimes that improve utilization and application QoS
– Scalable cluster management frameworks
– Bare-metal OSes for cloud applications
– Resource-efficient application design
– Datacenter monitoring and troubleshooting
– Implications of resource-efficiency to datacenter fault-tolerance
– Real-world measurements and analysis of cloud inefficiencies

Papers should be 4-6 pages long (8.5″ x 11″ pages), including figures and
tables, but not including references. You may include any number of pages for
references. Papers should be formatted in 2 columns, using 10-point type on
12-point leading, in a text block of 6.5″ x 9″. Color may be used,
but the paper should remain readable when printed in monochrome. Papers must be
submitted for single-blind review, i.e., you can include the authors’ names.
Please submit your papers over email to the workshop organizers by the
submission deadline.

Paper Submission: March 30 2015 23:59 PST
Author Notification: April 24 2015
Final Paper Submission: May 24 2015
Workshop: June 14 2015

Christina Delimitrou, Stanford University (cdel@stanford.edu)
Prof. Christos Kozyrakis, Stanford University (kozyraki@stanford.edu)
Prof. Lingjia Tang, University of Michigan (lingjia@eecs.umich.edu)
Prof. Jason Mars, University of Michigan (profmars@eecs.umich.edu)