• 제목/요약/키워드: green data centers

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A Case Study of Green Ambience through Green Cloud Computing

  • Kumar, Rethina;Kang, Jeong-Jin
    • International journal of advanced smart convergence
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    • 제1권2호
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    • pp.52-58
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    • 2012
  • Green cloud computing refers to the green ambient benefits that information technology services delivered over the Internet can offer for the society. The green meaning environment friendly and cloud computing is a traditional symbol for the Internet and a type of service provider. Cloud computing has drastically increased the number of datacenters and the energy consumption of data centers and that has become a critical issue which is extremely important in green ambience. These days the cloud data center needs high energy resources that leads to high operational cost and also maximizes CO2 - carbon footprint that pollutes the ambience which is not to be considered as green ambience. So we need to provide a way that leads us to green ambience. Cloud computing for the green ambience should be designed in a way which will utilize less energy resources and to minimize the CO2 -carbon footprint, known as green cloud. In this paper we discuss various elements of Clouds which contributes to minimize the total energy consumption and the carbon emission so as to enable green ambience through green cloud computing.

그린 데이터센터 구축 사례에 기반한 그린 IT 도입 방안에 관한 연구 (A Study on the Introduction of Green IT Based on the Cases of Implementing Green Internet Data Center)

  • 송길헌;신택수
    • 경영정보학연구
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    • 제11권2호
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    • pp.147-167
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    • 2009
  • 그린 IT는 IT 기반의 친환경 기술을 포괄하는 개념으로서 넓은 범위에서는 유해물질 대체, 에너지 효율화, 대체에너지 등 친환경적 기술을 의미한다. 현재 IT 산업의 흐름은 서버발열 및 데이터센터 에너지 절감 방안 등에 초점을 맞추어 그린 IT를 정의하고 있다. 본 연구는 문헌조사를 통해 그린 IT의 개념을 정의하고, 그린 IT가 나타난 배경과 필요성을 통해 현재 IT시장에 새롭게 등장한 그린 IT의 이슈 및 각 나라별 전략 및 국내의 전략을 비교분석하였다. 이를 구체적으로 살펴보면, 최근 IT 및 데이터센터 시장 전반 향후 변화 및 흐름을 볼 때 그런 IT는 그런 데이터센터 도입에 초점을 맞추어 사업의 방향과 전략을 수립하고 있는 것으로 나타났다. 따라서 본 연구는 국내외 기업의 그린 데이터센터 도입을 통한 그린 IT 구축 사례를 통해서 그린 IT 도입기준과 필요조건, 환경평가 및 설계 그리고 구체적인 추진전략과 향후 과제를 제시하였다.

In Search of Demanded Green Marketing Practices to Encourage Customer's Eco-friendly Purchasing Intention

  • KANG, Eungoo;HWANG, Hee-Joong
    • 동아시아경상학회지
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    • 제10권3호
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    • pp.93-104
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    • 2022
  • Purpose - The green marketing practice improves consumers' environmental knowledge, consequently bolstering their environmental purchase intention. It also improves consumers' green brand knowledge, positively influences their attitude toward green brands. This research examines the role of green brand image between green marketing practice and consumers' green purchasing intention Research design, Data, and methodology - This research has conducted the 'Qualitative Content Analysis' in the current literature dataset. It is crucial to create the procedures and processes that is used to acquire the data needed to structure or solve problems. Finally, total 35 prior studies included for the analysis. Result - Based on prior studies, the current authors figured out that the green brand image plays an essential role in promoting companies' efforts in green marketing practices and green purchase intentions through its mediating ability by fostering trust, green perceived value, green brand loyalty, and social responsibility as a significant determiner of green practices Conclusion - This research concludes that green brand positioning helps companies secure a special place in a consumers' mind by facilitating the design of the desired green brand awareness image and strengthening consumers' desire to purchase a specific green product/service. Green brand positioning centers on the way marketing communications of green brand features green brand knowledge.

CloudSwitch: A State-aware Monitoring Strategy Towards Energy-efficient and Performance-aware Cloud Data Centers

  • Elijorde, Frank;Lee, Jaewan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권12호
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    • pp.4759-4775
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    • 2015
  • The reduction of power consumption in large-scale datacenters is highly-dependent on the use of virtualization to consolidate multiple workloads. However, these consolidation strategies must also take into account additional important parameters such as performance, reliability, and profitability. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. In this paper, we put forward a data center monitoring strategy which dynamically alters its approach depending on the cloud system's current state. Results show that our proposed scheme outperformed strategies which only focus on a single metric such as SLA-Awareness and Energy Efficiency.

Goal-driven Optimization Strategy for Energy and Performance-Aware Data Centers for Cloud-Based Wind Farm CMS

  • Elijorde, Frank;Kim, Sungho;Lee, Jaewan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권3호
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    • pp.1362-1376
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    • 2016
  • A cloud computing system can be characterized by the provision of resources in the form of services to third parties on a leased, usage-based basis, as well as the private infrastructures maintained and utilized by individual organizations. To attain the desired reliability and energy efficiency in a cloud data center, trade-offs need to be carried out between system performance and power consumption. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. The work presented in this paper is directed towards the development of an Energy-efficient and Performance-aware Cloud System equipped with strategies for dynamic switching of optimization approach. Moreover, a platform is also provided for the deployment of a Wind Farm CMS (Condition Monitoring System) which allows ubiquitous access. Due to the geographically-dispersed nature of wind farms, the CMS can take advantage of the cloud's highly scalable architecture in order to keep a reliable and efficient operation capable of handling multiple simultaneous users and huge amount of monitoring data. Using the proposed cloud architecture, a Wind Farm CMS is deployed in a virtual platform to monitor and evaluate the aging conditions of the turbine's major components in concurrent, yet isolated working environments.

On Effective Slack Reclamation in Task Scheduling for Energy Reduction

  • Lee, Young-Choon;Zomaya, Albert Y.
    • Journal of Information Processing Systems
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    • 제5권4호
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    • pp.175-186
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    • 2009
  • Power consumed by modern computer systems, particularly servers in data centers has almost reached an unacceptable level. However, their energy consumption is often not justifiable when their utilization is considered; that is, they tend to consume more energy than needed for their computing related jobs. Task scheduling in distributed computing systems (DCSs) can play a crucial role in increasing utilization; this will lead to the reduction in energy consumption. In this paper, we address the problem of scheduling precedence-constrained parallel applications in DCSs, and present two energy- conscious scheduling algorithms. Our scheduling algorithms adopt dynamic voltage and frequency scaling (DVFS) to minimize energy consumption. DVFS, as an efficient power management technology, has been increasingly integrated into many recent commodity processors. DVFS enables these processors to operate with different voltage supply levels at the expense of sacrificing clock frequencies. In the context of scheduling, this multiple voltage facility implies that there is a trade-off between the quality of schedules and energy consumption. Our algorithms effectively balance these two performance goals using a novel objective function and its variant, which take into account both goals; this claim is verified by the results obtained from our extensive comparative evaluation study.

IP 주소 제한을 이용한 PC 절전 시스템의 설계 (A Design of Power-saving PC System Using the IP Address Restriction)

  • 김홍윤
    • 디지털산업정보학회논문지
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    • 제9권2호
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    • pp.89-97
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    • 2013
  • The green IT technology is being introduced in diverse sectors, especially in the data center and green computer sectors. Rack-type PCs, which have been developed by improving the computer hardware, are effective for data centers and large businesses, but they are not usually introduced in small organizations such as small and medium businesses and schools because they require high initial costs. Power-saving PC software enables the inexpensive power control, but the installation of the power-saving software in all computers in the organization is not an easy task. Computer users in the organization are usually not cooperative as they do not think the power-saving cost is directly related to themselves. In this paper, a technique wherein the server has a restriction in providing the IP address to the computers that has no power-saving software is proposed, so that users will cooperate in the PC power-saving system to avoid inconvenience. In order to provide restricted IP address periodically, the server makes a request of power-saving software installation check for user's PC. Proposed technique is more effective ways to save computer energy, because it does not depend on specific systems or organizations.

Heuristic based Energy-aware Resource Allocation by Dynamic Consolidation of Virtual Machines in Cloud Data Center

  • Sabbir Hasan, Md.;Huh, Eui-Nam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권8호
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    • pp.1825-1842
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    • 2013
  • Rapid growth of the IT industry has led to significant energy consumption in the last decade. Data centers swallow an enormous amount of electrical energy and have high operating costs and carbon dioxide excretions. In response to this, the dynamic consolidation of virtual machines (VMs) allows for efficient resource management and reduces power consumption through the live migration of VMs in the hosts. Moreover, each client typically has a service level agreement (SLA), this leads to stipulations in dealing with energy-performance trade-offs, as aggressive consolidation may lead to performance degradation beyond the negotiation. In this paper we propose a heuristic based resource allocation of VM selection and a VM allocation approach that aims to minimize the total energy consumption and operating costs while meeting the client-level SLA. Our experiment results demonstrate significant enhancements in cloud providers' profit and energy savings while improving the SLA at a certain level.

VDI 환경에서 클러스터링을 이용한 자원 스케줄링 알고리즘 (A Resource Scheduling Algorithm Using Node Clustering in VDI Environment)

  • 서경석;이봉환
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 춘계학술대회
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    • pp.360-363
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    • 2012
  • 최근 에너지 소비의 지속적 증가 및 에너지 가격의 급격한 상승으로 그린 IT 도입 운영이 필수적인 요소로 인식됨에 따라 서버 발열 및 데이터센터 에너지 절감을 위해 IT 인프라가 클라우드 컴퓨팅 플랫폼으로 대체 되어가고 있다. 본 연구에서는 오픈 소스 기반 클라우드 플랫폼을 구축하고 클라우드 VDI 서비스 제공 시 클러스터링을 이용하여 사용자 인스턴스의 성능을 보장하기 위한 자원 스케줄링 알고리즘을 제안하였다.

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그린 데이터센터를 위한 랙전원 솔루션 (Rack Power Solutions for Green Data Centers)

  • 권원옥;김성운
    • 전자통신동향분석
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    • 제24권4호
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    • pp.126-134
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    • 2009
  • 기존의 AC 전력전달 기반의 데이터센터를 고효율의 DC 데이터센터로 변경에 관한 연구가 활발히 진행중이다. 그 중 랙 준위 DC 전원공급장치는 기존 데이터센터의 전력구조 변화 없이 랙 레벨에서 DC 전원을 서버에 공급하는 방식으로 기존 AC 데이터센터에 적용 가능한 최적의 기술이다. 본 논문은 ETRI가 개발한 데이터센터의 랙 준위 DC 전원공급장치 특징에 관한 내용을 담고 있다. 본 장치는 부하에 따라 효율을 최적으로 제어하는 지능적 제어 기법을 사용하며, 랙 준위 N+ 1 전력 이중화로 높은 안정성을 제공하고 있다. 또한 랙 준위 전력 및 랙 주위 온/습도정보의 실시간 웹 모니터링 기능을 제공하고 있다.