Power Management in Colocation Data Centers: From Uncoordinated to Coordinated (Project Link: Here)
Power Management in Colocation Data Centers [PDF]
Power-hungry data centers have been massively expanding in both number and scale, placing an
increasing emphasis on optimizing data center power management. While the progress in data
center energy efficiency is encouraging, the existing efforts have dominantly centered around
owner-operated data centers (e.g., Google). Another unique and integral segment of data center
industry — - colocation data center, simply called “colocation”, which is the physical home to
many Internet and cloud services – has not been well investigated, which, if still left unchecked,
would become a major hurdle for sustainable growth of the digital economy.
In sharp contrast
with owner-operated data centers where operators have full control over both computing
resources and facilities, colocation rents physical space to multiple tenants which individually
control their own physical servers and power management, while the colocation operator is mainly
responsible for facility support (e.g., providing reliable power and cooling). The uncoordinated
power management, resulting from the colocation operator's lack of control over tenants’ servers,
invalidates many of the existing power management solutions for owner-operated data centers,
thereby making colocations’ operation highly inefficient.
Making Data Centers Less ‘‘Thirsty''
Performance-driven budget-constrained autoscaling
Scheduling interactive services on heterogeneous processors
Shaolei Ren received the B.E. degree in Electronic Engineering from Tsinghua University in
July 2006, the M.Phil. degree in Eletronic and Computer Engineering from Hong Kong
University of Science and Technology in August 2008, and the Ph.D. degree in
Electrical Engineering from University of California, Los Angeles, in June 2012.
Since August 2012, he has been with Florida International University,
where he currently holds a joint appointment of Assistant Professor in the School of Computing and Information Sciences and the Department of Electrical and Computer Engineering.
Dr. Ren directs the Sustainable Computing Group at FIU. His research centers around cloud computing and data center resource management,
with an emphasis on sustainability. He received the Best Paper Award at
the 8th International Workshop on Feedback Computing, the Best Paper Award at
IEEE International Conference on Communications in 2009, and was selected by
IBM T. J. Watson Research as one of the 10 Emerging Leaders in Multimedia and Signal Processing in 2010.