Benchmarking for AC on the Cloud

Papers

Closely Related

Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance
  • Run a variety of benchmarks (CPU, Memory, Disk, Network) on a large number of small and large EC2 instances over the course of a month
  • Results are stratified corresponding to the two CPU types: Xeon and Opertron
  • Xeon backed instances perform about twice as well as Opertron instances
  • Distribution of processor types varies by availability zone
EC2 Performance Analysis for Resource Provisioning of Service-Oriented Applications
  • Over a long time (hours) individual instances are stable in performance
  • Over a short time (minutes) instances are can have sharp dips in performance
  • Between instances of the same type, average performance can vary by a factor of 4
Exploiting Hardware Heterogeneity within the Same Instance Type of Amazon EC2
  • Measures the distribution of processor types, both Xeon and Opertron and broken down into specific models
  • Benchmarks the performance of each processor type
  • Checks CPU information located in '/proc/cpuinfo'; the VM hypervisor does not modify this
  • Outlines simple cost analysis of seeking out better performing instances
More for Your Money: Exploiting Performance Heterogeneity in Public Clouds
  • Examines EC2 variation on three levels: inter-architecture, intra-architecture, and temporal
  • measures significant variation in each case
  • proposes both black-box(measured performance) and grey-box(based on knowledge of processor distributions) placement methods
  • evaluates placement methods in simulations and on EC2

Somewhat Related

How is the Weather tomorrow? Towards a Benchmark for the Cloud
  • Discusses cloud services in general and what they offer
  • Lists important metrics to consider in cloud computing and how to go about writing a cloud-wide benchmark to measure these
Benchmarking in the Cloud: What it Should, Can, and Cannot Be
  • Provides a general overview of benchmarks and what makes a good one
  • Lists challenges to consider when developing a benchmark for the cloud; focuses on benchmarking entire cloud rather than individual nodes
A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing
  • Evaluates the EC2 cloud through a series of benchmarks to determine its suitability to scientific computing
  • Concluded that its performance and reliability were low compared to a dedicated cluster and thus less desirable
Resource Provisioning of Web Applications in Heterogeneous Clouds
  • test
An Evaluation of Amazon's Grid Computing Services: EC2, S3 and SQS
  • test
Exploring the Performance Fluctuations of HPC Workloads on Clouds
  • test

-- Main.geschd - 05 Aug 2013

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Topic revision: r4 - 2013-08-07 - geschd
 
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