Flex: High-Availability Datacenters With Zero Reserved Power

Zhang, Chaojie; Kumbhare, Alok; Manousakis, Ioannis; Zhang, Deli; Misra, Pulkit A.; Assis, Rod; Woolcock, Kyle; Mahalingam, Nithish; Warrier, Brijesh; Gauthier, David; Kunnath, Lalu; Solomon, S Sherwin; Morales, Osvaldo Fidel García; Fontoura, Marcus; Bianchini, Ricardo

doi:10.1109/isca52012.2021.00033

Cited by 16 publications

(3 citation statements)

References 29 publications

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“…Jiang et al [22] proposed a peak-aware job scheduling method that can significantly reduce the peak power of a cluster, smooth the power curve, and also reduce energy expenses, while meeting task completion deadlines. Zhang et al [23] proposed an offline workload placement strategy, namely Flex-Offline, which can reduce the stranded power while ensuring the security of power supply in any maintenance scenario.…”

Section: Initial Value Of Pheromone Cmentioning

confidence: 99%

A Server Placement Algorithm for Reducing Risk and Improving Power Utilization in Data Centers

Chen,

Huang,

Luo

et al. 2024

Tsinghua Sci. Technol.

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As the power demand in data centers is increasing, the power capacity of the power supply system has become an essential resource to be optimized. Although many data centers use power oversubscription to make full use of the power capacity, there are unavoidable power supply risks associated with it. Therefore, how to improve the data center power capacity utilization while ensuring power supply security has become an important issue.To solve this problem, we first define it and propose a risk evaluation metric called Weighted Power Supply Risk (WPSRisk). Then, a method, named Hybrid Genetic Algorithm with Ant Colony System (HGAACS) , is proposed to improve power capacity utilization and reduce power supply risks by optimizing the server placement in the power supply system. HGAACS uses historical power data of each server to find a better placement solution by population iteration. HGAACS possesses not only the remarkable local search ability of Ant Colony System (ACS), but also enhances the global search capability by incorporating genetic operators from Genetic Algorithm (GA). To verify the performance of HGAACS, we experimentally compare it with five other placement algorithms. The experimental results show that HGAACS can perform better than other algorithms in both improving power utilization and reducing the risk of power supply system.

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Section: Initial Value Of Pheromone Cmentioning

confidence: 99%

A Server Placement Algorithm for Reducing Risk and Improving Power Utilization in Data Centers

Chen,

Huang,

Luo

et al. 2024

Tsinghua Sci. Technol.

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show abstract

“…supporting utilities such as UPS, power distribution unit (PDU) [48], cloud operating systems [49], and backup infrastructure redundancy by multiple sites, and redundant data centre equipment, such as UPS and fault tolerance for components, HA for the individual data centre components [29,50] no † High availability of layer can be ensured by an application HAC 2. Failover, which is responsible for moving resource groups to a secondary node.…”

Section: Hac Architecturementioning

confidence: 99%

High-availability clusters: A taxonomy, survey, and future directions

Somasekaram

Călinescu

Buyya

2022

Journal of Systems and Software

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“…Power and thermal management in datacenters: Due to the rapid growth of cloud and edge computing, Internet of things, deep learning, etc., the power consumption of IT and cooling equipment in datacenters increases dramatically in recent years [23,37]. To improve the overall efficiency, many works pay close attention to power and thermal management in datacenters, such as workload management [34,40,49,53,57,72,113,115,116], hotspot elimination [41,55], underprovisioning [58,111], heat harvesting [14,54,118], and demand response [13,114]. In this section, we summarize some closely related works on the hotspot issue and/or cooling efficiency.…”

Section: Related Workmentioning

confidence: 99%

CoolEdge: hotspot-relievable warm water cooling for energy-efficient edge datacenters

Pei

Chen

Zhang

et al. 2022

Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

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As the computing frontier drifts to the edge, edge datacenters play a crucial role in supporting various real-time applications. Different from cloud datacenters, the requirements of proximity to end-users, high density, and heterogeneity, present new challenges to cool the edge datacenters efficiently. Although warm water cooling has become a promising cooling technique for this infrastructure, the one-size-fits-all cooling control would lower the cooling efficiency considerably because of the severe thermal imbalance across servers, hardware, and even inside one hardware component in an edge datacenter. In this work, we propose CoolEdge, a hotspot-relievable warm water cooling system for improving the cooling efficiency and saving costs of edge datacenters. Specifically, through the elaborate design of water circulations, CoolEdge can dynamically adjust the water temperature and flow rate for each heterogeneous hardware component to eliminate the hardwarelevel hotspots. By redesigning cold plates, CoolEdge can quickly disperse the chip-level hotspots without manual intervention. We further quantify the power saving achieved by the warm water

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Flex: High-Availability Datacenters With Zero Reserved Power

Cited by 16 publications

References 29 publications

A Server Placement Algorithm for Reducing Risk and Improving Power Utilization in Data Centers

A Server Placement Algorithm for Reducing Risk and Improving Power Utilization in Data Centers

High-availability clusters: A taxonomy, survey, and future directions

CoolEdge: hotspot-relievable warm water cooling for energy-efficient edge datacenters

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