A dynamic energy management scheme for multi-tier data centers

Lim, Seung-Hwan; Sharma, Bikash; Tak, Byung Chul; Das, Chita R.

doi:10.1109/ispass.2011.5762742

Cited by 14 publications

(14 citation statements)

References 14 publications

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“…When using power management, in order to improve the energy efficiency of data centers, three techniques are commonly employed: selected servers shutdown, frequency and voltage provisioning, and dynamic power management [11]. There are two different kinds of dynamic power management: predictive and reactive [12].…”

Section: Related Workmentioning

confidence: 99%

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A Dynamic Power Management Schema for Multi-tier Data Centers

Azimzadeh

Tabrizi

2017

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing,

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An issue of great concern as it relates to global warming is power consumption and efficient use of computers especially in large data centers. Data centers have an important role in IT infrastructures because of their huge power consumption. This thesis explores the sleep state of data centers under specific conditions such as setup time and get optimal number of servers. Moreover, their potential to greatly increase energy efficiency in data centers. This research uses a dynamic power management policy based on a mathematical model. The methodology is based on how it can get to the optimal number of servers required in each tier while increasing servers' setup time after sleep mode to reduce the power consumption. The reactive approach is used to prove the results are valid and energy efficient. It calculates the average power consumption of each server under specific sleep mode and setup time. Then average power consumption is used to get the Normalized-Performance-Per watt to evaluate the power efficient methodology. The results indicate that the proposed schema is beneficial for data centers with high setup time.

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Section: Related Workmentioning

confidence: 99%

“…In [11], the authors introduce new methodology consisting of multiple approaches. They use dynamic provisioning, frequency scaling, and dynamic power management methods to make multi-tier data centers more energy efficient.…”

Section: Hybrid Approachesmentioning

confidence: 99%

A Dynamic Power Management Schema for Multi-tier Data Centers

Azimzadeh

Tabrizi

2017

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing,

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“…Administrators can control the level of performance required and prioritize energy-efficient resources under certain scenarios. Factors such as idle consumption of nodes [15], use rate [21] or power specifications [22] can be taken into account to select nodes for performing tasks. We consider the node's efficiency during active periods, propose a metric termed as GreenPerf to sort available computing nodes according to their power consumption, and use a secondary parameter, hereafter considered to be the node's performance.…”

Section: A Metric and Infrastructure For Workload Placementmentioning

confidence: 99%

Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling

Balouek-Thomert

Caron

Lefèvre

2015

2015 IEEE International Parallel and Distributed Processing Symposium Workshop

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International audienceSeveral approaches to reduce the power consumption of datacenters have been described in the literature, most of which aim to improve energy efficiency by trading off performance for reducing power consumption. However, these approaches do not always provide means for administrators and users to specify how they want to explore such trade-offs. This work provides techniques for assigning jobs to distributed resources, exploring energy efficient resource provisioning. We use middleware-level mechanisms to adapt resource allocation according to energy-related events and user-defined rules. A proposed framework enables developers, users and system administrators to specify and explore energy efficiency and performance trade-offs without detailed knowledge of the underlying hardware platform. Evaluation of the proposed solution under three scheduling policies shows gains of 25% in energy-efficiency with minimal impact on the overall application performance. We also evaluate reactivity in the adaptive resource provisioning

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“…The protocol LISP tackles this problem by enabling migration over network while maintaining the same IP address. LISP (Locator/ID Separation Protocol) is a protocol where IP addresses have two roles: localization and identification 4 . The purpose of LISP is to solve problems related to the growing size of IPv4 routing tables.…”

Section: Communicationsmentioning

confidence: 99%

“…The virtual machine is created on the elected node. Others criteria exists in the literature, involving the consideration of idle consumption [3] or the use rate [4] of the physical nodes.…”

Section: ) Virtual Machine Creationmentioning

confidence: 99%

Nu@ge: Towards a solidary and responsible cloud computing service

Balouek-Thomert¹,

Caron

Gallard³

et al. 2015

2015 International Conference on Cloud Technologies and Applications (CloudTech)

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Best Paper AwardInternational audienceThe adoption of cloud computing is still limited by several legal concerns from companies. One of those reasons is the data sovereignty, as data can be physically host in sensible locations, resulting in a lack of control for companies. In this paper, we present the Nu@ge project aimed at building a federation of container-sized datacenter on the French territory. Nu@ge provides a software stack that enables companies to put independent datacenters in cooperation in a national mesh. Additionally, a prototype of a container-sized datacenter has been validated and patented

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A dynamic energy management scheme for multi-tier data centers

Cited by 14 publications

References 14 publications

A Dynamic Power Management Schema for Multi-tier Data Centers

A Dynamic Power Management Schema for Multi-tier Data Centers

Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling

Nu@ge: Towards a solidary and responsible cloud computing service

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