Semantically enhanced context aware models for energy-efficient Data Centers

Dr. Tudor Cioara, is an active member Distributed Systems Research Laboratory of the Technical University of Cluj-Napoca. In 2012 obtained his Ph.D. in Computer Science with the thesis "Context aware adaptive systems with applicability in green service centers." Research areas in which he is currently working refers to Context Awareness, Green IT, Ambient Assistant Living and Artificial Intelligence.
Dr. Ionut Anghel, is an member Distributed Systems Research Laboratory of the Technical University of Cluj-Napoca. In 2012 obtained his Ph.D. in Computer Science with the thesis "Autonomic computing techniques for pervasive systems and energy efficient data centres."

With recent technological advancements research efforts are moving towards developing dynamic complex distributed systems such as heterogeneous pervasive environments composed of sensors, actuators, smart devices and software agents which interact and collaborate. As complexity increases and its management becomes a serious issue, new research areas of autonomic computing, reflexivity and self-adaptivity have been developed and integrated into the systems. All these new features require that distributed systems become aware of their execution context and adapt their behaviour to different context situations.

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3rd GEYSER Project Meeting - 21/22 May 2014

Seán Murphy is a Senior Research in the ICCLab at ZHAW. Seán’s main interest is in energy efficiency in cloud computing but he does wear some other hats within ICCLab, including some of the commercialization activities and working on the FP7 XiFi project.

The 3rd GEYSER Project Meeting was hosted by ABB in Dublin in May. The project team spent the two days clarifying detailed requirements of the system and refining the overall GEYSER system architecture, tackling issues around how Data Centres and Smart Cities talk to each other, the role of the Data Centre in a local energy marketplace, what data we will require to implement the advanced control functions we envisage and how this data can be processed to deliver near-optimal control of networked (and non-networked) Data Centres.

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Data Centres in the Urban Landscape - Towards more flexibility in Smart Grids, leading to Smarter Cities

By Vasiliki Georgiadou, project manager at Green IT Amsterdam; currently, her work and research interests focus on promoting and realizing energy sustainability activities within the IT industry, and especially the data centre sector.

The following thoughts are inspired by a workshop – namesake of this post’s title – organized by Green IT Amsterdam with the participation of professionals spanning the data centre industry, energy providers and public utilities.

We are living in an era of unprecedented change driven by all sorts of technological advancements. And their common denominator is… data; data generated, shared, processed and analysed. The Internet of Things is expected to grow to a staggering 26 billion units installed in 2020, according to a 2013 Gartner report; and that’s excluding PCs, tablets and smartphones.

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Real-time energy monitoring: The benefits for data centers

Anthony Schoofs is currently CTO of Wattics Ltd, and is behind, a blog covering news on smart grid, smart cities and green technology.

The function of data centers within our modern society, long considered as black box utilities to house and manage data pertaining to various organisations, is moving to a more active role. The future outlook involves seamless integration within the smart grid and smart cities in order to enable new energy efficiency paradigms, as investigated within the GEYSER EU FP7 project.

Whether a data center initiates load migration to process IT load at the lowest cost or a market operator triggers a data center to provide electricity to the grid, decision-making will require measurement of the data center’s internal energy context. Traditional point-in-time and low-frequency sampling approaches to power monitoring have proven to be limited for optimised control over migration processes and demand response, as these cannot rely on ‘past’ data.

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GEYSER - Green nEtworked data centers as energY proSumers in smaRt city environments
Work partially supported by European Community under the SMARTCITIES-2013 call of the 7th FP for RTD - project GEYSER, contract 609211.
The Author is solely responsible for the content of this paper. It does not represent the opinion of the European Community, and the European Community is not responsible for any
use that might be made of data appearing therein.

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