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Brian Setz is a Research Assistant and PhD candidate at the Institute of Architecture of Application Systems (IAAS) of the University of Stuttgart. He is supervised by prof. dr. Marco Aiello, and is a member of the Service Computing Department, headed by prof. dr. Marco Aiello. His research interests include: Cloud Computing, Green Computing, Internet of Things, Energy Efficient Data Centers.
January 2011 - June 2011
- Software developer on European projects HERTZ and eDIANA for the development of a modular, energy efficient Internet of Things platform.
It has been shown that up to 64 percent of personal computers in office buildings are left running during after-hours. Enabling power management options such as sleep mode is a straightforward method to reduce the energy consumption of computers. However, choosing the right timeout can be challenging. A sleep timeout which is too low leads to disco...
There are a multitude of metrics available to analyse individual key performance indicators of data centers. In order to, predict growth or set effective goals, it is important to choose the correct metric and being aware of their expressivity and potential limitations. As cloud based services and the use of ICT infrastructure are growing globally,...
Datacenters are an essential utility of most modern organizations. These huge computing infrastructures consume large amounts of power, and their total energy consumption is estimated to be 2 percent of global consumption. Thus, it is important to minimize power usage in the design and operation of datacenters. The authors analyzed seven datacenter...
A colocation data center rents out rack space and equipment to third parties, while providing core services such as power, cooling, and bandwidth. Energy consumption, power distribution, and cooling account for the majority of the operational costs. Reducing these operational costs is important in order to increase the profit margins of the data ce...
Introducing the Internet of Things paradigm to data centers enables real-time monitoring on a scale that has not been seen before. Real-time monitoring promises to reduce the data center’s operational costs and increase energy savings. As data centers can house over a hundred thousand servers, the potential number of data points that can be collect...
Air cooling is the traditional solution to chill servers in data centers. However, the continuous increase in global data center energy consumption combined with the increase of the racks' power dissipation calls for the use of more efficient alternatives. Immersion cooling is one such alternative. In this paper, we quantitatively examine and compa...
Homes are becoming an ecosystem of digital devices and appliances, which can be interconnected and controlled. This interconnection can be facilitated by a central smart hub on which home automation software is deployed. Commercially available hubs, while easy to install and use, often support a limited set of devices and protocols, and have a high...
Building managers need effective tools to improve occupants’ experiences considering constraints of energy efficiency. Current building management systems are limited to coordinating device services in simple and prefixed situations. Think of an office with lights offering services, such as turn on a light, which are invoked by the system to automa...
In today’s data-centric world, people expect the right data to be available everywhere, anytime, cheaply, in growing quantities and ‘processed-right’. Increasing data storage, processing and continuity requires a globally growing and more efficient data-center management to lower the environmental footprint. The ‘business-as-usual’ trajectory could see data-center greenhouse gases double by 2020 from a 0.28% share of total global carbon emissions in 2007. In some cases, the total energy costs in a data-center can exceed the initial capital investment cost. While, the ICT industry represents a 2% share of the global carbon emissions. The NextGenSmart DC project’s premise is that the application of state-of-the-art ICT tools and techniques can improve the environmental footprint of energy-intensive facilities and deliver Smarter and Greener Data-Centers, through ‘self-help’. The main goal of the project is to design and validate energy saving methodologies based on ICT to the industrial setting using data centers in India as the case study and defining general methods and approaches that can be deployed in other Indo-Dutch industries.