SLAs for Energy-Efficient Data Centres: The Standards-Based Approach of the OPTIMIS Project

Author(s):  
Wolfgang Ziegler
2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Nishad Deshpande ◽  
Shabib Ahmeda ◽  
Alok Khodea

The advent of cloud computing has nurtured an unprecedented growth of datacentres. With its growth, the main concern for service providers and data centre owners is toefficiently manage the energy of the data centres without compromising their computingcapabilities. This concern is genuine as data centres utilise 10-30 times more energy thanoffice spaces and also generate immense heat. As cooling accounts for half of the total powerconsumption in data centres, efficient cooling systems have become a vital need for datacentres. This has resulted in increased research and innovation in the field of efficient coolingof data centres, which in turn has led to growth in filing of patents in this domain. Patents aretechno-legal documents that contain different kinds of information that is accessible to all. Inthe present study, patents are used as source of information for competitive/businessintelligence to highlight the technological trends in the field of energy efficient cooling of datacentres. The study reveals that IBM, HP, Schneider and Hon Hai Industries are the majorplayers working in this technological area. Contrary to the notion that air conditioning wouldbe the most researched area for cooling data centres, the study reveals that there is alsointerest in the hardware of the servers and racks to produce less heat or to have built-incooling mechanisms. The main technologies for which patents are being filed includeventilation using gaseous coolant, technologies related to rack design as well as liquid cooling.Original equipment manufacturers and other vendors have increased filings, along with cloudservice providers. Most of these technologies originate from Asia-Pacific and this region is astrong market, following the USA.


2015 ◽  
pp. 191-245 ◽  
Author(s):  
Micha vor dem Berge ◽  
Jochen Buchholz ◽  
Leandro Cupertino ◽  
Georges Da Costa ◽  
Andrew Donoghue ◽  
...  

2019 ◽  
Vol 93 ◽  
pp. 42-64
Author(s):  
Irene Kilanioti ◽  
Alejandro Fernández-Montes ◽  
Damián Fernández-Cerero ◽  
Christos Mettouris ◽  
Valentina Nejkovic ◽  
...  

Author(s):  
Daniele Tafani ◽  
Burak Kantarci ◽  
Hussein T. Mouftah ◽  
Conor McArdle ◽  
Liam P. Barry

Over the past decade, the increasing complexity of data-intensive cloud computing services along with the exponential growth of their demands in terms of computational resources and communication bandwidth presented significant challenges to be addressed by the scientific research community. Relevant concerns have specifically arisen for the massive amount of energy necessary for operating, connecting, and maintaining the thousands of data centres supporting cloud computing services, as well as for their drastic impact on the environment in terms of increased carbon footprint. This chapter provides a survey of the most popular energy-conservation and “green” technologies that can be applied at data centre and network level in order to overcome these issues. After introducing the reader to the general problem of energy consumption in cloud computing services, the authors illustrate the state-of-the-art strategies for the development of energy-efficient data centres; specifically, they discuss principles and best practices for energy-efficient data centre design focusing on hardware, power supply specifications, and cooling infrastructure. The authors further consider the problem from the perspective of the network energy consumption, analysing several approaches achieving power efficiency for access, and core networks. Additionally, they provide an insight to recent development in energy-efficient virtual machine placement and dynamic load balancing. Finally, the authors conclude the chapter by providing the reader with a novel research work for the establishment of energy-efficient lightpaths in computational grids.


Author(s):  
Dirk Pesch ◽  
Susan Rea ◽  
J. Ignacio Torrens ◽  
Vojtech Zavrel ◽  
J.L.M. Hensen ◽  
...  

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