Greening geographical load balancing

By Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, L. Andrew. Measurement and Modeling of Computer Systems, 2011

466 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/2ae44acd212547424764ad538cac21ef06c28b09

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

In Information Systems

Citations in the corpus

GreenSlot: Scheduling energy consumption in green datacenters (2011, background): “Some previous works have addressed these issues [13, 14, 19, 29].”
Carbon-Aware Computing for Datacenters (2021, unknown): “A body of research has focused on real-time rebalancing of serving requests, cloud VM migration and placement to co-optimize for datacenter portfolio cost and environmental objectives [11]–[15], [40]–[43].”
Data Center Energy Consumption Modeling: A Survey (2016, background): “Similar work to this research can be observed in [319][320].”
Online algorithms for geographical load balancing (2012, background): “Research is only beginning to quantify the benefits of this approach, e.g., [10] and [11].”
A Survey on Green-Energy-Aware Power Management for Datacenters (2014, methodology): “The server conﬁguration in each datacenter is based on the numerical setting from 30:26 F. Kong and X. Liu Note that for the case of charge-free renewable energy [Liu et al. 2011a; Ghamkhari and Mohsenian”
Dynamic Right-Sizing for Power-Proportional Data Centers (2011, background): “This extension has many important applications, including joint capacity provision in geographically distributed data centers [25], automatically switched optical networks (ASONs) in which there is a cost for reestablishing a lightpath [44], and power generation with dynamic demand since the cheapes”
Renewable and cooling aware workload management for sustainable data centers (2012, background): “Categories and Subject Descriptors C.0 [Computer Systems Organization]: General Keywords sustainable data center, renewable energy, demand shaping, scheduling, cooling optimization 1.”
It's not easy being green (2012, background): “These inherent complexities have not been addressed in recent work, which focus essentially only on either the electricity cost [30] [35] [37] or the carbon footprint of datacenters [9] [26] [29].”
GreenHadoop: leveraging green energy in data-processing frameworks (2012, background): “Similarly, [17, 19, 22] focused on these services.”