1,186 research outputs found
MultiGreen: Cost-Minimizing Multi-source Datacenter Power Supply with Online Control
Session 4: Data Center Energy ManagementFulltext of the conference paper in: http://conferences.sigcomm.org/eenergy/2013/papers/p13.pdfFaced by soaring power cost, large footprint of carbon emis-
sion and unpredictable power outage, more and more mod-
ern Cloud Service Providers (CSPs) begin to mitigate these
challenges by equipping their Datacenter Power Supply Sys-
tem (DPSS) with multiple sources: (1) smart grid with time-
varying electricity prices, (2) uninterrupted power supply
(UPS) of finite capacity, and (3) intermittent green or re-
newable energy. It remains a significant challenge how to
operate among multiple power supply sources in a comple-
mentary manner, to deliver reliable energy to datacenter
users over time, while minimizing a CSP’s operational cost
over the long run. This paper proposes an efficient, online
control algorithm for DPSS, called MultiGreen. MultiGreen
is based on an innovative two-timescale Lyapunov optimiza-
tion technique. Without requiring a priori knowledge of
system statistics, MultiGreen allows CSPs to make online
decisions on purchasing grid energy at two time scales (in the
long-term market and in the real-time market), leveraging
renewable energy, and opportunistically charging and dis-
charging UPS, in order to fully leverage the available green
energy and low electricity prices at times for minimum op-
erational cost. Our detailed analysis and trace-driven sim-
ulations based on one-month real-world data have demon-
strated the optimality (in terms of the tradeoff between min-
imization of DPSS operational cost and satisfaction of data-
center availability) and stability (performance guarantee in
cases of fluctuating energy demand and supply) of Multi-
Green
Power Management Techniques for Data Centers: A Survey
With growing use of internet and exponential growth in amount of data to be
stored and processed (known as 'big data'), the size of data centers has
greatly increased. This, however, has resulted in significant increase in the
power consumption of the data centers. For this reason, managing power
consumption of data centers has become essential. In this paper, we highlight
the need of achieving energy efficiency in data centers and survey several
recent architectural techniques designed for power management of data centers.
We also present a classification of these techniques based on their
characteristics. This paper aims to provide insights into the techniques for
improving energy efficiency of data centers and encourage the designers to
invent novel solutions for managing the large power dissipation of data
centers.Comment: Keywords: Data Centers, Power Management, Low-power Design, Energy
Efficiency, Green Computing, DVFS, Server Consolidatio
Evolving Optical Networks for Latency-Sensitive Smart-Grid Communications via Optical Time Slice Switching (OTSS) Technologies
In this paper, we proposed a novel OTSS-assisted optical network architecture
for smart-grid communication networks, which has unique requirements for
low-latency connections. Illustrative results show that, OTSS can provide
extremely better performance in latency and blocking probability than
conventional flexi-grid optical networks.Comment: IEEE Photonics Society 1st Place Best Poster Award, on
CLEO-PR/OECC/PGC 201
Optimization-based scheduling of data center workload in function of outside weather conditions
International audienceData centers are the fifth largest energy consumerin the world and demand for data center services, driven bycloud computing, is rising rapidly. There is also a lot of interestin using data centers for offering grid services. Here, focus isput on scheduling, or in other words, shifting workload in time.This work explores the possible gains that could be achieved ifworkload would be easily scheduled. An energetic model of thedata-center is used, taking into account the dependency of thecooling's coefficient of performance (COP) on the outside weatherconditions as well as the influence of the heat load on the powerconsumption of the fans and pumps. This model is used to showthe possible energy savings that could be obtained by schedulingthe workload in function of outside wet bulb temperatures and fanpowers.</p
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