2016 Proceeding
No abstract available.
Competitive online algorithms for geographical load balancing in data centers with energy storage
Geographical load balancing takes advantage of the regional differences in dynamic electricity rates by shifting computing tasks among geographically distributed data centers. Since energy storage is becoming an integral part of data centers, one can ...
Energy supply aware power planning for flexible loads
Increasing the use of renewable energy is considered a viable way of reducing carbon intensive power generation. However, a power grid running on high amounts of renewable energy has to deal with the limited controllability and higher volatility of ...
Optimizing the power factor of data centers connected to the smart grid
The Data Centre (DC) services business is blooming increasing their energy demand and making them important players in the safe operation of the smart grid. The DC IT servers have a dynamic power factor varying from 0.98 for high density workloads and ...
Evaluation process of demand response compensation models for data centers
The increasing integration of renewable energies into the electricity system and a fluctuating power demand cause high pressure on today's electricity grid. One contemporary approach to deal with this issue is the implementation of demand response ...
Reducing energy costs in data centres using renewable energy sources and energy storage
Data centers consume large amounts of energy. In parallel, power grid operators are struggling with reduction of peak energy demands. To cope with this problem automated demand response (ADR) techniques are developed. As data centers are precisely ...
Learning-based power prediction for data centre operations via deep neural networks
Modelling and analyzing power consumption for data centres can diagnose potential energy-hungry components and applications, and facilitate in-time control, benefiting the energy efficiency of data centers. However, solutions to this problem, including ...
DC4Cities power planning: sensitivity to renewable energy forecasting errors
Data centers are among the largest and fastest growing consumers of electricity in the world. Furthermore, the rapid growth of digital content, big data, e-commerce, and internet traffic will create the need for an even higher number of DCs. On other ...
Energy effciency and performance of cloud data centers: which role can modeling play?
Resource Virtualization and Load Balancing are main objectives to reduce the power consumption and to improve the performance of large data centers (DC). The management of Cloud Data Centers (CDC) requires an accurate planning and an efficient use of ...