Phase characterization for power: Evaluating control-flow-based and event-counter-based techniques

C Isci, M Martonosi - The Twelfth International Symposium on …, 2006 - ieeexplore.ieee.org
Computer systems increasingly rely on dynamic, phase-based system management
techniques, in which system hardware and software parameters may be altered or tuned at …

Deep Reinforcement Learning for Workload Prediction in Federated Cloud Environments

Z Ahamed, M Khemakhem, F Eassa, F Alsolami… - Sensors, 2023 - mdpi.com
The Federated Cloud Computing (FCC) paradigm provides scalability advantages to Cloud
Service Providers (CSP) in preserving their Service Level Agreement (SLA) as opposed to …

Data analytics workloads: Characterization and similarity analysis

R Panda, LK John - 2014 IEEE 33rd International Performance …, 2014 - ieeexplore.ieee.org
Performance of modern day computer systems greatly depends on the wide range of
workloads, which run on the systems. Thus, a representative set of workloads, representing …

Constructing a non-linear model with neural networks for workload characterization

RM Yoo, H Lee, K Chow… - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
Workload characterization involves the understanding of the relationship between workload
configurations and performance characteristics. To better assess the complexity of workload …

Evaluating benchmark subsetting approaches

JY Joshua, R Sendag, L Eeckhout… - 2006 IEEE …, 2006 - ieeexplore.ieee.org
To reduce the simulation time to a tractable amount or due to compilation (or other related)
problems, computer architects often simulate only a subset of the benchmarks in a …

Proposing a Layer to Integrate the Sub-classification of Monitoring Operations Based on AI and Big Data to Improve Efficiency of Information Technology Supervision

AY Chakor, A Monir, A Abdellah - Applied Computer Systems, 2022 - sciendo.com
Intelligent monitoring of a computer network provides a clear understanding of its behaviour
at various times and in various situations. It also provides relief to support teams that spend …

Characterization of SPEC CPU2006 and SPEC OMP2001: Regression models and their transferability

EM Ould-Ahmed-Vall, KA Doshi… - ISPASS 2008-IEEE …, 2008 - ieeexplore.ieee.org
Analysis of workload execution and identification of software and hardware performance
barriers provide critical engineering benefits; these include guidance on software …

[图书][B] Finding representative workloads for computer system design

JL Bonebakker - 2007 - dl.acm.org
This work explores how improved workload characterization can be used for a better
selection of representative workloads within the computer system and processor design …

[PDF][PDF] A statistical evaluation of the impact of parameter selection on storage system benchmarks

N Park, W Xiao, K Choi, DJ Lilja - … of the 7th IEEE International Workshop …, 2011 - Citeseer
The performance evaluation of storage systems is a difficult task due to lack of
representative workloads. Storage benchmark tools test a single aspect such as random …

Fault injection for online failure prediction assessment and improvement

I Irrera - 2015 - search.proquest.com
Software is the fundamental brick of the systems that pervade our society, such as
communications, transportation, business and health caring. In fact, software is a mean for …