Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control

By Tibor Horvath, Tarek F. Abdelzaher, Kevin Skadron, Xue Liu. IEEE transactions on computers, 2007

302 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/23265cad4d3f6dd2db1d0f5e58286f3ea98175af

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Hardware and Architecture

Citations in the corpus

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems (2016, methodology): “Some other approaches have investigated techniques such as processor speed control, voltage adjustments, switching off a display monitor, hibernate or sleep mode [21–23].”
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems (2008, background): “There are a number of papers that describe server or cluster level energy management using independent [18, 8] or cooperative DVS techniques [7, 11].”
GreenCloud: a new architecture for green data center (2009, background): “[27] have studied how to dynamically adjust the server voltages to minimize the total system power consumption at the same time meet end-toend delay constraints in a Multi-tier Web Service environment.”
Server Workload Analysis for Power Minimization using Consolidation (2009, background): “There are a number of papers that describe server or cluster level energy management using independent [22, 13] or cooperative DVS techniques [12, 18].”
GreenCloud: a packet-level simulator of energy-aware cloud computing data centers (2010, unknown): “Techniques, such as Dynamic Voltage and Frequency Scaling (DVFS), and Dynamic Power Management (DPM) [2] were extensively studied and widely deployed.”
EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments (2009, background): “Early studies [6][14][15] mainly focus on energy consumption reducing for PC or single server node.”
Capping the brown energy consumption of Internet services at low cost (2010, unknown): “[6], [7], [8], [10], [14], [15], [22], [25], [30], [35].”
Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment (2010, background): “While most of the new technologies have been developed aim to reduce the total power consumptions of IDCs[5], [8], [10], [18], [25], [ 28 ], [35], we are lacking a holistic approach to help better reduce the total electricity cost of IDC service providers.”
A Survey on Green-Energy-Aware Power Management for Datacenters (2014, methodology): “To provide better insight into energy capacity planning, we provide quantitative comparisons between our solution proposed in Kong et al. [2014b] and the discussed works in this subsection.”