NDLI: PowerPerfCenter: a power and performance prediction tool for multi-tier applications

Please wait, while we are loading the content...

Extreme big data processing in large-scale graph analytics and billion-scale social simulation

Uncertainties in the modeling of self-adaptive systems: a taxonomy and an example of availability evaluation

Speeding up processing data from millions of smart meters

Efficient optimization of software performance models via parameter-space pruning

The taming of the shrew: increasing performance by automatic parameter tuning for java garbage collectors

Engineering resource management middleware for optimizing the performance of clouds processing mapreduce jobs with deadlines

Understanding, modelling, and improving the performance of web applications in multicore virtualised environments

LIMBO: a tool for modeling variable load intensities

System performance analyses through object-oriented fault and coupling prisms

Application performance management using learning, optimization, and control

Software contention aware queueing network model of three-tier web systems

Modelling database lock-contention in architecture-level performance simulation

On the limits of modeling generational garbage collector performance

Automated analysis of performance and energy consumption for cloud applications

Exploring synergies between bottleneck analysis and performance antipatterns

Constructing performance model of JMS middleware platform

A power-measurement methodology for large-scale, high-performance computing

A meta-controller method for improving run-time self-architecting in SOA systems

An evaluation of zookeeper for high availability in system S

LibReDE: a library for resource demand estimation

Run-time performance optimization of a BigData query language

Efficient and accurate stack trace sampling in the Java hotspot virtual machine

Benchmarking graph-processing platforms: a vision

An experimental methodology to evaluate energy efficiency and performance in an enterprise virtualized environment

Adaptive model learning for continual verification of non-functional properties

Agile middleware for scheduling: meeting competing performance requirements of diverse tasks

Scalable hybrid stream and hadoop network analysis system

Server efficiency rating tool (SERT) 1.0.2: an overview

Model-driven engineering in practice: integrated performance decision support for process-centric business impact analysis

PowerPerfCenter: a power and performance prediction tool for multi-tier applications

Real-time multi-cloud management needs application awareness

Performance queries for architecture-level performance models

SPECjbb2013 1.0: an overview

Continuous validation of load test suites

PowerPerfCenter: a power and performance prediction tool for multi-tier applications

Content Provider	ACM Digital Library
Author	Doshi, Bhavin Apte, Varsha
Abstract	The performance analysis of a server application and the sizing of the hardware required to host it in a data center continue to be pressing issues today. With most server-grade computers now built with "frequency-scaled CPUs" and other such devices, it has become important to answer performance and sizing questions in the presence of such hardware. PowerPerfCenter is an application performance modeling tool that allows specification of devices whose operating speeds can change dynamically. It also estimates power usage by the machines in presence of such devices. Furthermore, it allows specification of a dynamic workload which is required to understand the impact of power management. We validated the performance metrics predicted by PowerPerfCenter against measured ones of an application deployed on a test-bed consisting of frequency-scaled CPUs, and found the match to be good. We also used PowerPerfCenter to show that power savings may not be significant if a device does not have different idle power consumption when configured with different operating speeds.
Starting Page	281
Ending Page	284
Page Count	4
File Format	PDF
ISBN	9781450327336
DOI	10.1145/2568088.2576758
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-03-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Performance prediction Frequency scaled cpu Power
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

PowerPerfCenter: A Power and Performance Prediction Tool For Multi-Tier Applications∗

The M3 (measure-measure-model) tool-chain for performance prediction of multi-tier applications

Performance Mimicking Benchmarks for Multi-tier Applications

PerfCenterLite: Extrapolating Load Test Results for Performance Prediction of Multi-Tier Applications

AutoPerf: Automated Load Testing and Resource Usage Profiling of Multi-Tier Internet Applications

Research on resource allocation for multi-tier web applications in a virtualization environment

Power Optimization with Performance Assurance for Multi-tier Applications in Virtualized Data Centers

Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance

Achieving Scalability of Self-optimizing Multi-tier Systems Performance Prediction

PowerPerfCenter: a power and performance prediction tool for multi-tier applications

Similar Documents

PowerPerfCenter: A Power and Performance Prediction Tool For Multi-Tier Applications∗

The M3 (measure-measure-model) tool-chain for performance prediction of multi-tier applications

Performance Mimicking Benchmarks for Multi-tier Applications

PerfCenterLite: Extrapolating Load Test Results for Performance Prediction of Multi-Tier Applications

AutoPerf: Automated Load Testing and Resource Usage Profiling of Multi-Tier Internet Applications

Research on resource allocation for multi-tier web applications in a virtualization environment

Power Optimization with Performance Assurance for Multi-tier Applications in Virtualized Data Centers

Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance

Achieving Scalability of Self-optimizing Multi-tier Systems Performance Prediction

PowerPerfCenter: a power and performance prediction tool for multi-tier applications