With the prevailing usage of
high density blade servers, the heat dissipation density of data
increases exponentially. The high temperature of the data centers will
to higher hardware failure costs. Improperly designed or operated data
centers may either suffer from overheated servers and potential system
failures, or from overcooled systems and paying extra utilities cost.
Minimizing the cost of operation (utilities, maintenance, device
replacement) of data centers is one of the key issues to optimize
computing resources and maximize business outcome.
The goal of this project is to
build a dependable, reliable sensing platform using on board sensors
and ambient sensors to collect temperature, humidity, power consumption
and computer load information. Combining this data with a heuristic
algorithm, we can dynamically adjust the thermal environment (by making
scheduling decisions, by adjusting
air conditioner capacity, fan speed, frequency and voltage scaling,
achieve a better thermal environment, reduce the cost of operations and
the business output of data centers.
- Georgios Varsamopoulos, Ayan Banerjee, Sandeep Gupta.
Efficiency of Thermal-Aware Job Scheduling Algorithms under Various
Cooling Models. International Conference on Contemporary
Computing (IC3), Noida , India, August 2009. [ PDF | Bib ]
Tridib Mukherjee, Ayan Banerjee, Georgios
S. K. S. Gupta, and Sanjay Rungta, Spatio-Temporal Thermal-Aware
Thermal-Aware Job Scheduling to Minimize
Energy Consumption in Virtualized Heterogeneous Data Centers.
(Elsevier) Computer Networks, Special Issue on Virtualized Data Centers(ComNet),
accepted (2009). [PDF]
Qinghui Tang, Thermal-Aware
Scheduling In Environmentally Coupled Cyber-Physical Distributed Systems.
PhD Thesis, June 2008. [ Thesis
| Presentation ]
- Qing Tang, S. K. S. Gupta and Georgios Varsamopoulos,
Thermal-Aware Task Scheduling for Homogeneous, High Performance
Computing Data Centers: A Cyber-Physical Approach.
Transactions on Parallel and Distributed Systems, Special Issue on
Power-Aware Parallel and Distributed Systems (TPDS PAPADS),
19:(11), pp. 1458–1472, November 2008. [PDF]
- Q. Tang, S. K. S. Gupta, and G. Varsamopoulos, Thermal
Aware Task Scheduling for Datacenters through Minimizing Heat
Recirculation. Cluster 2007, Austin TX. Sept. 2007. [PDF]
T. Mukherjee, G.
Varsamopoulos and S. K. S. Gupta, Measurement-based Power
Profiling of Data Center Equipment. GreenCom 2007, Austin TX.
Sept. 2007. [PDF]
- M. Jonas, G. Varasamopoulos, and S. K. S. Gupta,
On developing a fast, cost-effective and non-invasive method to derive
data center thermal maps. (Extended Abstract) Workshop on
Green Computing (in conjunction with CLUSTER 2007), Austin, USA,
Sept, 2007. [PDF
Mukherjee, Q. Tang, C. Ziesman, and S. K. S. Gupta, Software
Architecture for Dynamic Thermal Management in Datacenters. in
Int’l Conf. Communication System
Software & Middleware (COMSWARE), Jan 2007. [PDF]
Tang, T. Mukherjee, S. K. S. Gupta, and P. Cayton, Sensor-Based
Fast Thermal Evaluation Model For Energy Efficient High-Performance
Datacenters. in Int’l Conf.
Intelligent Sensing & Info. Proc. (ICISIP2006), Dec 2006. [PDF]
Sandeep. K. S. Gupta, Daniel Stanzione, and Phil Cayton, Thermal-Aware
Task Scheduling to Minimize Energy Usage of Blade Server Based
Datacenters. in 2nd IEEE International
Symposium on Dependable, Autonomic and Secure Computing (DASC'06). [PDF]