A methodology for full-system power modeling in heterogeneous data centers

The need for energy-awareness in current data centers has encouraged the use of power modeling to estimate their power consumption. However, existing models present noticeable limitations, which make them application-dependent, platform-dependent, inaccurate, or computationally complex. In this paper, we propose a platform-and application-agnostic methodology for full-system power modeling in heterogeneous data centers that overcomes those limitations. It derives a single model per platform, which works with high accuracy for heterogeneous applications with different patterns of resource usage and energy consumption, by systematically selecting a minimum set of resource usage indicators and extracting complex relations among them that capture the impact on energy consumption of all the resources in the system. We demonstrate our methodology by generating power models for heterogeneous platforms with very different power consumption profiles. Our validation experiments with real Cloud applications show that such models provide high accuracy (around 5% of average estimation error).This work is supported by the Spanish Ministry of Economy and Competitiveness under contract TIN2015-65316-P, by the Gener- alitat de Catalunya under contract 2014-SGR-1051, and by the European Commission under FP7-SMARTCITIES-2013 contract 608679 (RenewIT) and FP7-ICT-2013-10 contracts 610874 (AS- CETiC) and 610456 (EuroServer).Peer ReviewedPostprint (author's final draft

Green IT, China – France: similar reactions?

Based upon a study carried out both in France and in China, this communication aims to answer the following question: Is it useful to invest in Green IT for Universities? This research provides information on the perception of individuals with respect to the label "green" placed on an IT object and also highlights the need to take into account the affective dimension of attitude in the Technology Acceptance Model. Our results may help in investment decisions regarding "green" technologyTechnology Acceptance Model, Green IT, intercultural study

Green IT (includes High Powered Computing) - background reading

Background reading for coursework to prepare a technical report as part of the orientation phase. These items are business documents (i.e. grey literature) which might be read as a prelude or complement to finding information in peer reviewed academic publications. grey literature links and articles to be used in preparation of technical report. See also overview guidance document for this assignment http://www.edshare.soton.ac.uk/8017

Green IT at Bundesverwaltungsamt

Das Bundesverwaltungsamt (BVA) ist der zentrale Dienstleister des Bundes. Das BVA, mit Hauptsitz in Köln, wurde 1960 gegründet, um andere Behörden von Tätigkeiten zu entlasten, die nicht zu deren Kernaufgaben gehören. Heute nimmt das BVA mit rund 2.400 Mitarbeiterinnen und Mitarbeitern über 100 verschiedene Aufgaben für fast alle Bundesministerien und deren Geschäftsbereiche, das Bundeskanzleramt sowie zahlreiche weitere Behörden und Institutionen wahr. Online-Version im Universitätsverlag der TU Berlin (www.univerlag.tu-berlin.de) erschienen

Organizational Motivations for Green IT: Exploring Green IT Matrix and Motivation Models

The environmental impact of information and communications technologies (ICT) might be a two way street. On the one hand, each stage of the ICT lifecycle has a potential to contribute to the damage of the environment. On the other hand, ICT can provide some of the best tools not only in measuring and reporting greenhouse gas emissions, waste and water use within core enterprise and value chain processes but also in reducing them. The application of environmental criteria to ICT is commonly referred to as Green IT. It is attracting IT management’s interest but has hardly been researched. This paper aims to explore the extent to which Green IT has penetrated business consciousness. The contributions of the paper reset on offering a snapshot of Green IT diffusion, on proposing and empirically exploring a Green IT Matrix and Motivation classifications and on testing some of the theoretical propositions regarding the influence of institutional forces and organizational motivations in the adoption of Green IT

Green IT and Green Software

Software and IT usage are continuously growing to keep our society active and manage our individual lives. But as they grow, their energy demand is exploding. By 2030, data centers alone will already consume some 10% of the global electricity.1 Including the Internet, telecommunications, and embedded devices, the energy consumption will be one-third of the global demand. Understanding that end users only consume what we offer, it is the community of software developers who must become active in ecologic behaviors. Green IT is the call of today. Each single line of code that we develop today may still be running years from now on zillions of processors, eating energy and contributing to global climate change

Green IT - dynamic network topologies

All engineering disciplines are influenced by the global focus on energy consumption reduction and sustainability. Due to its resident inefficiency, The ICT sector is of particular concern, and there has been extensive work to develop sustainability enhancements to networks and/or network devices. Previous work presented dynamic topology concepts in which the behaviour and topology of the devices and the network react dynamically in response to traffic demands, with the intent of placing devices into standby states to reduce energy consumption. The key aim of this study is to develop a dynamic topology mechanism implementation; it proposes a testbed environment and corresponding dynamic topology mechanism that makes use of two programs: one running on a centralised controller, and one running on the network nodes. The former determines the optimal topology based on energy consumption reductions and network traffic, while the latter uses MPLS to implement the topology. The testbed is used to determine the dynamic topology mechanism’s effectiveness and impact on network performance, and does so by subjecting it to controlled variations in network traffic. Quantitative measurements of the dynamic topology mechanism’s network performance metrics are presented and analysed relative to baseline measurements. The analysis shows that the dynamic topology mechanism is quite effective, as the effect on network performance is mostly minimal and the reaction to network traffic variations is sufficiently swift. The system takes approximately 30 seconds to react to traffic variations and implement topology changes, and has negligible effect on jitter, packet loss, and the number of out of order packets. However, it produces an average increase in delay of 8 ms, the source of which requires further investigation. This study proves the feasibility of dynamic topology mechanism implementation, and provides a framework for further development and eventual widespread deployment

Green IT adoption via virtualization

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação, especialização em Estudos de Mercado e Gestão de Relacionamento com o ClienteThis study attempts to test and validate the theoretical framework proposed by Bose and Luo (2011) that identifies and examines the factors that contribute to the assessment of a firm’s readiness to go green via IT-enable virtualization. The conceptual framework is based on three theoretical foundations: (1) technology-organization-environment (TOE) framework; (2) process virtualization theory (PVT); and (3) diffusion of innovation (DOI) theory. To test the framework, data were collected from 251 firms in Portugal and partial least square (PLS) was used to estimate the research model. The study found that environmental context (i.e., competition intensity and regulatory support) influences Green IT adoption more than the technological and organizational contexts. The research also confirmed that the pre-stage of adoption (i.e., Green IT initialization) influences the formal stage of adoption (i.e., Green IT integration), which in turn influences the post-adoption stage (i.e., Green IT maturation). As sustainable products and practices become increasingly relevant, the study adds new knowledge to this emergent area of IS research and provides valuable insights to IS managers and decision makers.Este estudo pretende testar e validar o modelo teórico proposto por Bose e Luo (2011), o qual identifica e analisa os factores que contribuem para a avaliação por parte das empresas da sua capacidade de adoptar tecnologias de informação sustentáveis (Green IT) através da virtualização. O modelo copceptual é baseado em três fundamentos teóricos: (1) contexto de inovação tecnológica (TOE framework), (2) teoria do processo de virtualização (PVT theory) e (3) difusão da inovação (DOI). Para testar o modelo, foram recolhidos dados de 251 empresas que operam em Portugal e posteriormente estimado o modelo através da metodologia de mínimos quadrados parciais (PLS). Através do estudo concluiu-se que contexto externo à empresa (ou seja, a intensidade da concorrência e o apoio regulatório) influencia mais a adopção de TI sustentáveis que os contextos tecnológico e organizacional. O estudo também confirmou que a fase de pré-adopção (i.e., inicialização de TI sustentáveis) influencia a fase formal de adopção (ou seja, a integração de TI sustentáveis), que por sua vez influencia a fase de pós-adopção (i.e., maturação de TI sustentáveis). Com os produtos e as práticas sustentáveis a tornarem-se cada vez mais relevantes, este estudo acrescenta novos conhecimentos a esta área emergente de Sistemas de Informação e fornece informações valiosas tanto para gestores de sistemas de informação como para decisores (e.g., politicos, empresariais, etc.)