Characterizing and analyzing renewable energy driven data centers

LiChao,; QounehAmer,; LiTao,

doi:10.1145/2007116.2007158

Cited by 5 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The three operations come with large overhead and cause a significant performance loss to a datacenter. To balance renewable energy utilization and performance loss, Li et al [2011Li et al [ , 2012 present iSwitch, a lightweight and easy-to-implement renewable energy-driven VM management scheme. iSwitch follows renewable power variation characteristics and applies a supply/load cooperative scheme to mitigate performance loss.…”

Section: Qualitative Analysismentioning

confidence: 99%

“…Hence, we point out some critical open issues and also propose possible solutions. Single datacenter Arlitt et al 2012;Krioukov et al 2011Krioukov et al , 2012Aksanli et al 2011;Mohsenian Rad 2012a, 2013;Deng et al 2013;Goiri et al 2011Goiri et al , 2012Govindan et al 2011;Goiri et al 2013] Green-energy-aware workload scheduling Geo-distributed datacenters [Stewart and Shen 2009;Le et al 2009Le et al , 2010Le et al , 2008Liu et al 2011aLiu et al , 2011bGao et al 2012;Doyle et al 2011;Chiu et al 2012;Li et al 2013;Ghamkhari and Mohsenian Rad 2012b] Green-energy-aware Single datacenter [Sharma et al 2011a;Irwin et al 2011;Singh et al 2013;Li et al 2011Li et al , 2012Deng et al 2012a] VM management Geo-distributed datacenters [Akoush et al 2011;Deng et al 2012b] Green-energy-aware energy capacity planning [Gmach et al 2010b[Gmach et al , 2010aBrown and Renau 2011;] Interdiscipline [Hopper and Rice 2008;Kurp 2008;Van Heddeghem et al 2012;Chang et al 2012;Seetharam et al 2010] The rest of the article is organized as follows. Section 2 provides background for datacenters, the electrical grid, and the carbon market, as well as lists the optimization ob...…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Green-Energy-Aware Power Management for Datacenters

Kong

2014

ACM Comput. Surv.

122

View full text Add to dashboard Cite

Megawatt-scale datacenters have emerged to meet the increasing demand for IT applications and services. The hunger for power brings large electricity bills to datacenter operators and causes significant impacts to the environment. To reduce costs and environmental impacts, modern datacenters, such as those of Google and Apple, are beginning to integrate renewable or green energy sources into their power supply. This article investigates the green-energy-aware power management problem for these datacenters and surveys and classifies works that explicitly consider renewable energy and/or carbon emission. Our aim is to give a full view of this problem. Hence, we first provide some basic knowledge on datacenters (including datacenter components, power infrastructure, power load estimation, and energy sources' operations), the electrical grid (including dynamic pricing, power outages, and emission factor), and the carbon market (including cap-andtrade and carbon tax). Then, we categorize existing research works according to their basic approaches used, including workload scheduling, virtual machine management, and energy capacity planning. Each category's discussion includes the description of the shared core idea, qualitative analysis, and quantitative analysis among works of this category. ACM Reference Format:Fanxin Kong and Xue Liu. 2014. A survey on green-energy-aware power management for datacenters. ACM

show abstract

Section: Qualitative Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Survey on Green-Energy-Aware Power Management for Datacenters

Kong

2014

ACM Comput. Surv.

122

View full text Add to dashboard Cite

show abstract

“…Their goal is to minimize the negative impact of temporary server shutdown on internet applications. Recently, iSwitch [38,39] proposes handling renewable power budget through dynamic VM live migration between two clusters. It emphasizes different supply/load tuning policies for different renewable power scenario.…”

Section: Focusing On Supply-load Matchingmentioning

confidence: 99%

Enabling datacenter servers to scale out economically and sustainably

Zhou

et al. 2013

Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture

Self Cite

View full text Add to dashboard Cite

As cloud applications proliferate and data-processing demands increase, server resources must grow to unleash the performance of emerging workloads that scale well with large number of compute nodes. Nevertheless, power has become a crucial bottleneck that restricts horizontal scaling (scale out) of server systems, especially in datacenters that employ power over-subscription. When a datacenter hits the maximum capacity of its power provisioning equipment, the owner has to either build another facility or upgrade existing utility power infrastructure -both approaches add huge capital expenditure, require significant construction lead time, and can further increase the owner's carbon footprint.This paper proposes Oasis, a power provisioning scheme for enabling power-/carbon-constrained datacenter servers to scale out economically and sustainably. Oasis naturally supports incremental power capacity expansion with near-zero environmental impact as it takes advantages of modular renewable energy system and emerging distributed battery architecture. It allows scale-out datacenter to double its capacity using 100% green energy with up to 25% less overhead cost. This paper also describes our implementation of Oasis prototype and introduces our multi-source driven power management scheme Ozone. Ozone allows Oasis to identify the most suitable power supply control strategies and adjust server load cooperatively to maximize overall system efficiency and reliability. Our results show that Ozone could reduce the performance degradation of Oasis to 1%, extend Oasis battery lifetime by over 50%, and almost triple the average battery backup capacity which is crucial for mission-critical systems. Figure 1: "How will your organization handle increased capacity demand over the next 12-18 months" -results from the Uptime Institute 2012 Data Center Industry Survey [3].

show abstract

“…In addition, their study does not consider the extra cost of renewable energy and may lead to budget violations as shown in the comparisons between GreenWare and Max-Green in Section 5.3. Li et al [30] propose a load power tuning scheme for managing intermittent renewable power in a single data center without considering the costs. In contrast, we focus on distributing requests among data centers in different locations.…”

Section: Related Workmentioning

confidence: 99%

GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy

Zhang

Wang

2011

Lecture Notes in Computer Science

141

111

View full text Add to dashboard Cite

Abstract. To reduce the negative environmental implications (e.g., CO2 emission and global warming) caused by the rapidly increasing energy consumption, many Internet service operators have started taking various initiatives to operate their cloud-scale data centers with renewable energy. Unfortunately, due to the intermittent nature of renewable energy sources such as wind turbines and solar panels, currently renewable energy is often more expensive than brown energy that is produced with conventional fossil-based fuel. As a result, utilizing renewable energy may impose a considerable pressure on the sometimes stringent operation budgets of Internet service operators. Therefore, two key questions faced by many cloud-service operators are 1) how to dynamically distribute service requests among data centers in different geographical locations, based on the local weather conditions, to maximize the use of renewable energy, and 2) how to do that within their allowed operation budgets.In this paper, we propose GreenWare, a novel middleware system that conducts dynamic request dispatching to maximize the percentage of renewable energy used to power a network of distributed data centers, subject to the desired cost budget of the Internet service operator. Our solution first explicitly models the intermittent generation of renewable energy, e.g., wind power and solar power, with respect to varying weather conditions in the geographical location of each data center. We then formulate the core objective of GreenWare as a constrained optimization problem and propose an efficient request dispatching algorithm based on linear-fractional programming (LFP). We evaluate GreenWare with realworld weather, electricity price, and workload traces. Our experimental results show that GreenWare can significantly increase the use of renewable energy in cloud-scale data centers without violating the desired cost budget, despite the intermittent supplies of renewable energy in different locations and time-varying electricity prices and workloads.

show abstract

Characterizing and analyzing renewable energy driven data centers

Cited by 5 publications

References 0 publications

A Survey on Green-Energy-Aware Power Management for Datacenters

A Survey on Green-Energy-Aware Power Management for Datacenters

Enabling datacenter servers to scale out economically and sustainably

GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy

Contact Info

Product

Resources

About