• Corpus ID: 56351258

Measuring and Analyzing Energy Consumption of the Data Center

  title={Measuring and Analyzing Energy Consumption of the Data Center},
  author={Theodosios Makris},

Taxonomy of green cloud computing techniques with environment quality improvement considering: a survey

Nowadays, cloud computing is one of the most up-to-date topics conducted by many researchers. The specialists and researchers try to create a new generation of data centers using virtual machines to

Computing Server Power Modeling in a Data Center

This work presents a taxonomy and evaluation of 24 software-based power models using a unified environment, benchmarking applications, power-measurement techniques, and error formulas, with the aim of achieving an objective comparison.

Artificial intelligence and machine learning approach to measuring energy consumption in data centre facilities

This research project provided the tools and models to help estimate the energy consumption of data centres, with particular emphasis on smaller facilities, and the design of new machine learning algorithms capable of predictingEnergy consumption of servers based on a small number of features within 12% error rate.



Complete System Power Estimation Using Processor Performance Events

Using measurement of actual systems running scientific, commercial and productivity workloads, power models for six subsystems on two platforms are developed and validated and it is possible to estimate system power consumption without the need for power sensing hardware.

Wattch: a framework for architectural-level power analysis and optimizations

Wattch is presented, a framework for analyzing and optimizing microprocessor power dissipation at the architecture-level and opens up the field of power-efficient computing to a wider range of researchers by providing a power evaluation methodology within the portable and familiar SimpleScalar framework.

The NAS Parallel Benchmarks 2.0

A set of implementations of the NAS Parallel Benchmarks based on Fortran 77 and the MPI message passing standard are described, which approximate the performance a typical user can expect for a portable parallel program on a distributed memory computer.

A Study on the Use of Performance Counters to Estimate Power in Microprocessors

Two recent processor configurations representing two extremes of the performance spectrum are considered, one targeting low power and the other high performance, and results indicate that only three counters measuring 1) the number of fetched instructions, 2) level-1 cache hits, and 3) dispatch stalls are sufficient to achieve adequate precision.

Performance characteristics of the SPEC OMP2001 benchmarks

This paper presents basic static and runtime characteristics of the benchmarks in SPEC OMP2001, and explains some of the benchmark performance characteristics with measured data and with a quantitative model.

Real time power estimation and thread scheduling via performance counters

This work analytically derive functions for real-time estimation of processor and system power consumption using performance counter data on real hardware, and leverages the model to implement a simple, power-aware thread scheduler.

Power prediction for Intel XScale processors using performance monitoring unit events

A first-order, linear power estimation model that uses performance counters to estimate run-time CPU and memory power consumption of the Intel PXA255 processor that can serve as a foundation for intelligent, poweraware embedded systems that dynamically adapt to the device’s power consumption is demonstrated.

Analysis of variance: Why it is more important than ever?

A hierarchical analysis is proposed that automatically gives the correct ANOVA comparisons even in complex scenarios, and a new graphical display showing inferences about the standard deviations of each batch of effects is introduced.

Regression Shrinkage and Selection via the Lasso

A new method for estimation in linear models called the lasso, which minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant, is proposed.

Run-time power estimation in high performance microprocessors

  • R. JosephM. Martonosi
  • Computer Science
    ISLPED'01: Proceedings of the 2001 International Symposium on Low Power Electronics and Design (IEEE Cat. No.01TH8581)
  • 2001
The Castle project is presented, which aims to deduce the actual runtime power dissipated by different processor units on the CPU chip by leveraging existing hardware.