Adaptive green hosting

Deng, Nan; Stewart, Christopher; Gmach, Daniel; Arlitt, Martin; Kelley, Jaimie

doi:10.1145/2371536.2371561

Cited by 50 publications

(29 citation statements)

References 19 publications

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“…A data center can reduce its carbon footprint by purchasing RECs [28,61]. Similarly, a data center that generates renewable energy on-site can offer its spare green energy in the market by issuing RECs, allowing other data centers to offset their carbon impact [61].…”

Section: Exploit Opportunities In the Energy Marketsmentioning

confidence: 99%

Toward sustainable data centers: a comprehensive energy management strategy

Guitart

2016

Computing

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Data centers are major contributors to the emission of carbon dioxide to the atmosphere, and this contribution is expected to increase in the following years. This has encouraged the development of techniques to reduce the energy consumption and the environmental footprint of data centers. Whereas some of these techniques have succeeded to reduce the energy consumption of the hardware equipment of data centers (including IT, cooling, and power supply systems), we claim that sustainable data centers will be only possible if the problem is faced by means of a holistic approach that includes not only the aforementioned techniques but also intelligent and unifying solutions that enable a synergistic and energy-aware management of data centers. In this paper, we propose a comprehensive strategy to reduce the carbon footprint of data centers that uses the energy as a driver of their management procedures. In addition, we present a holistic management architecture for sustainable data centers that implements the aforementioned strategy, and we propose design guidelines to accomplish each step of the proposed strategy, referring to related achievements and enumerating the main challenges that must be still solved.

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Section: Exploit Opportunities In the Energy Marketsmentioning

confidence: 99%

Toward sustainable data centers: a comprehensive energy management strategy

Guitart

2016

Computing

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“…Further related literature devised workload scheduling mechanisms for data centers to operate under carbon capping policies. The existing work range from "systems" work focusing on implementation aspects in practice [37,39,46,69] to "analytical" work focusing on developing algorithms with provable guarantees [78,100,127].…”

Section: Carbon Cappingmentioning

confidence: 99%

“…Exploiting the daily variation of the workload, Deng et al, developed a heuristic scheme to dynamically adjust the carbon offset of a set of geo-distributed green data centers to increase their total profit [37]. The authors used empirical traces to…”

Section: Carbon Cappingmentioning

confidence: 99%

“…Discussion on the related work: The solutions proposed in [37,39,46,69] successfully framed the optimization framework of carbon-aware global workload management problem and identified the efficiency of such an approach in practice. The solutions, however, are heuristics in the sense that there is no guarantee on the total cost and the carbon emission gap with respect to the offline optimal solution.…”

Section: Carbon Cappingmentioning

confidence: 99%

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Sustainable Cloud Computing

Domdouzis

2015

Green Information Technology

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Energy consumption of the data centers worldwide is rapidly growing fueled by everincreasing demand for Cloud computing applications ranging from social networking to e-commerce. Understandably, ensuring energy-efficiency and sustainability of Cloud data centers without compromising performance is important for both economic and environmental reasons. In order to achieve these objectives, this dissertation develops a cyber-physical multi-tier server and workload management architecture which operates at the local and the global (geo-distributed) data center level.This dissertation devises optimization frameworks for each tier to optimize energy consumption, energy cost and carbon footprint of the data centers. The proposed solutions are aware of various energy management tradeoffs that manifest due to the cyber-physical interactions in data centers, while providing provable guarantee on the solutions' computation efficiency and energy/cost efficiency. The local data center level energy management takes into account the impact of server consolidation on the cooling energy, avoids cooling-computing power tradeoff, and optimizes the total energy (computing and cooling energy) considering the data centers' technology trends (servers' power proportionality and the cooling power efficiency). The global data center level cost management explores the diversity of the data centers to minimize the utility cost while satisfying the carbon cap requirement of the Cloud and while dealing with the adversity of the prediction error on the data center parameters. Finally, the synergy of the local and the global data center energy and cost optimization is shown to help towards achieving carbon neutrality (net-zero) in a cost efficient manner.

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“…Minimizing energy consumption and carbon emission via geographical load balancing for self-managed data centers have been extensively studied. Using GLB for distributed data centers, [23,36,68] exploit the spatiotemporal diversity of carbon efficiency and renewable energy availability to reduce carbon footprints. [90,92,93,120] minimize power cost by considering location varying electricity prices among multiple geographically distributed data centers.…”

Section: Sustainability In a Hybrid Data Center Infrastructurementioning

confidence: 99%

Sustainable Resource Management for Cloud Data Centers

Mahmud¹

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In recent years, the demand for data center computing has increased significantly due to the growing popularity of cloud applications and Internet-based services. Today's large data centers host hundreds of thousands of servers and the peak power rating of a single data center may even exceed 100MW. The combined electricity consumption of global data centers accounts for about 3% of worldwide production, raising serious concerns about their carbon footprint. The utility providers and governments are consistently pressuring data center operators to reduce their carbon footprint and energy consumption.While these operators (e.g., Apple, Facebook, and Google) have taken steps to reduce their carbon footprints (e.g., by installing on-site/off-site renewable energy facility), they are aggressively looking for new approaches that do not require expensive hardware installation or modification.This dissertation focuses on developing algorithms and systems to improve the sustainability in data centers without incurring significant additional operational or setup costs. In the first part, we propose a provably-efficient resource management solution for a self-managed data center to cap and reduce the carbon emission while maintaining satisfactory service performance. Our solution reduces the carbon emission of a selfmanaged data center to net-zero level and achieves carbon neutrality. In the second part, we consider minimizing the carbon emission in a hybrid data center infrastructure that includes geographically distributed self-managed and colocation data centers. This segment vi identifies and addresses the challenges of resource management in a hybrid data center infrastructure and proposes an efficient distributed solution to optimize the workload and resource allocation jointly in both self-managed and colocation data centers. In the final part, we explore sustainable resource management from cloud service users' point of view. A cloud service user purchases computing resources (e.g., virtual machines) from the service provider and does not have direct control over the carbon emission of the service provider's data center. Our proposed solution encourages a user to take part in sustainable (both economical and environmental) computing by limiting its spending on cloud resource purchase while satisfying its application performance requirements.

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Adaptive green hosting

Cited by 50 publications

References 19 publications

Toward sustainable data centers: a comprehensive energy management strategy

Toward sustainable data centers: a comprehensive energy management strategy

Sustainable Cloud Computing

Sustainable Resource Management for Cloud Data Centers

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