Computer Performance Engineering

Name: Computer Performance Engineering | 12th European Workshop, EPEW 2015, Madrid, Spain, August 31 - September 1, 2015, Proceedings
Brand: Springer
Price: 50.28 EUR
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12th European Workshop, EPEW 2015, Madrid, Spain, August 31 - September 1, 2015, Proceedings

Marta Beltrán William Knottenbelt Jeremy Bradley(Editor)

Springer (Publisher)

Published on 21. August 2015

X, 307 pages

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978-3-319-23267-6 (ISBN)

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Content

Intro
Preface
Organization
Contents
Applications I
A Markovian Queueing System for Modeling a Smart Green Base Station
1 Introduction
2 The Model
3 Process of the System State
4 Stationary Solution
4.1 Algorithms for Stationary Probabilities
4.2 Performance Metrics
4.3 Numerical Example
5 First Passage Times
6 An Approximated Product-form Model
7 Conclusion
References
Static and Dynamic Hosting of Cloud Servers
1 Introduction
2 Static and Dynamic Policies
2.1 Queued Jobs
3 Virtual Machines Do Not Move
4 Conclusion
References
Security and Performance Tradeoff Analysis of Mobile Offloading Systems Under Timing Attacks
1 Introduction
2 System Overview and The Model
2.1 Behavior of System and Attackers
2.2 The System Model
3 Metrics
3.1 Security Metrics
3.2 Performance Metrics
3.3 Tradeoff Metric
4 Model Analysis
4.1 CTMC Steady-State Probability Computation
4.2 CTMC with Absorbing State - MTTSF Analysis
4.3 Throughput Analysis
5 Numerical Results
6 Conclusion and Future Work
References
Non-Markovian Performability Evaluation of ERTMS/ETCS Level 3
1 Introduction
2 The ERTMS/ETCS L3 Case-Study
3 Non-Markovian Modeling and Analysis
3.1 Stochastic Time Petri Nets
3.2 Regenerative Transient Analysis Through Stochastic State Classes
4 Performability Evaluation of ERTMS/ETCS Level 3
4.1 A Non-Markovian Model of Communication Availability
4.2 Evaluation of the Communication Availability Model
4.3 A Non-Markovian Model of ERTMS/ETCS Level 3
4.4 Evaluation of the ERTMS/ETCS Level 3 Model
5 Conclusions
References
Modelling Techniques I
Simplifying Layered Queuing Network Models
1 Introduction
2 Related Work
3 The Layered Queuing Network (LQN) Model
4 The Simplification Process
4.1 Details of the Operations: Example 1
4.2 Details of the Operations: Example 2
5 Case Study
6 Conclusions
References
Moment-Generating Algorithm for Response Time in Processor Sharing Queueing Systems
1 Introduction
2 Background
2.1 Scheduling
2.2 PS Applications
2.3 Queueing Models
2.4 Response Times
3 Related Work on Response Times
4 Moment-Generating Algorithm
5 Multi-Class Algorithm
6 Case Studies
7 Conclusion and Future Work
References
On Generalized Processor Sharing and Objective Functions: Analytical Framework
1 Introduction
2 Analytical Framework
3 Some Illustrative Examples
4 Framework Application
5 Achieving a Specific Performance Vector
6 Conclusions
References
Software Performance
Comparing the Accuracy of Resource Demand Measurement and Estimation Techniques
1 Introduction
2 Extracting Resource Demands
2.1 Performance Management Work - Tools Monitoring
2.2 Dynatrace Application Monitoring
2.3 Library for Resource Demand Estimation
3 Evaluation
3.1 Standalone Evaluation
3.2 Distributed Setup
4 Related Work
5 Conclusion and Future Work
References
Estimating the Impact of Code Additions on Garbage Collection Overhead
1 Introduction
2 Garbage Collection Essentials
3 Modeling Garbage Collection Overhead
3.1 Reconstructing Allocation Behavior
3.2 Considering Additional Allocations
3.3 Estimating Collection Time
4 Evaluation and Discussion
4.1 Methodology and Metrics
4.2 Workloads
4.3 Measurement Platform and Results
4.4 Results Discussion
5 Related Work
6 Conclusion
References
Performance Awareness in Java EE Development Environments
1 Introduction
2 Performance Awareness Approach
2.1 Developer Interaction
2.2 Model Creation
2.3 Data Collection and Aggregation
2.4 Performance Simulation
3 Evaluation
3.1 Experiment Setup
3.2 Experiment Results
4 Related Work
5 Conclusion and Future Work
References
Modelling Techniques II
Canonical Form of Order-2 Non-stationary Markov Arrival Processes
1 Introduction
2 Theoretical Background
3 Previous Results for MAP(2) and RAP(2) Processes
4 Canonical Form of Order-2 NMAP
5 Equivalence of the NMAP(2) and NRAP(2) Classes
6 Conclusion
References
Markov Decision Petri Nets with Uncertainty
1 Objectives and Contributions
2 Background
3 Markov Decision Petri Net with Uncertainty
4 Case Study
5 Conclusions
References
On-the-fly Fluid Model Checking via Discrete Time Population Models
1 Introduction
2 Population Models
2.1 Continuous Time Population Models
2.2 Discrete Time Population Models
2.3 Relationship Between the Models
3 Properties of Individual Objects
4 Fluid Model Checking via Discrete Time Models
5 Benchmark Examples and Comparison
5.1 A Computer Worm Epidemic Model
5.2 A Client-Server Model
6 Related Work
7 Conclusions
References
Computing Response Time Distributions Using Iterative Probabilistic Model Checking
1 Introduction
2 Problem Statement and Case Study
2.1 Service-Oriented Systems
2.2 Performance Questions
3 A Formal Model for Service Systems
3.1 iDSL Language Syntax
3.2 iDSL Model of iXR Systems
3.3 Three Sampling Methods for Measurements
3.4 Performance Queries in iDSL
3.5 Translation to Modest
4 Computing Response Time Distributions
4.1 From iDSL Queries to Modest
4.2 Aggregating Latencies of Service Requests
4.3 Iterative Model Checking for Probability Bounds
4.4 Transforming Bounds into a Set of Possible CDFs
4.5 Answering the Performance Queries Using the CDFs
5 Case Study Results
6 Conclusion
References
Applications II
iDSL: Automated Performance Prediction and Analysis of Medical Imaging Systems
1 Introduction
2 Methodology
3 Measurements and Emperical CDFs
3.1 Measuring Activities on a Real System
3.2 Grouping Activities into Execution Times
3.3 Using Execution Times to Estimate eCDFs
3.4 Predicting eCDFs for the Complete Design Space
4 Extending the iDSL Language and Solution Chain
4.1 The iDSL Model of iXR Systems
4.2 Automated Prediction of eCDFs for the Complete Design Space
4.3 Automated Aggregation of Latencies
5 Results of a Case Study on iXR Systems
5.1 The Performance of an iXR System
5.2 The Validity and Applicability of the iDSL Model
6 Conclusions and Future Work
References
Stream Processing on Demand for Lambda Architectures
1 Introduction
2 Stream Processing On Demand
2.1 Data Processing in the Lambda Architecture
2.2 Decision-Making Model
3 Experimental Validation
3.1 Use Case and Design Options
3.2 Implementation of the Batch Layer
3.3 Performance Model Prototype
3.4 Controlled Experiment
4 Related Work
5 Conclusion and Future Work
References
An AnyLogic Simulation Model for Power and Performance Analysis of Data Centres
1 Introduction
2 System Description
3 Data Center Models
3.1 Model Overview
3.2 IT Equipment Model
3.3 Cascade Model
3.4 Workload
3.5 Power Management Strategies
3.6 Power-Performance Metrics
Power Consumption.
Response Time.
Power State Utilisation.
3.7 Visualisation
4 Results
4.1 Case Study: Computational Cluster
4.2 Model Validation
5 Conclusions and Future Work
References
Simulation Techniques
Rare Event Simulation with Fully Automated Importance Splitting
1 Introduction
2 Formal Models and Properties
3 Stopping Criteria
4 Rare Event Simulation Through Importance Splitting
5 Fully Automated Importance Splitting
6 Experimental Validation
7 Concluding Remarks
References
Speed-Up of Stochastic Simulation of PCTMC Models by Statistical Model Reduction
1 Introduction
2 A Brief Introduction of PCTMC
3 Directed Relation Graph with Error Propagation
3.1 Group-Based Direct Coupling Coefficient
3.2 Indirect Coupling Coefficient
4 Statistical Model Reduction
4.1 Statistical Transition Rate Evaluation
4.2 Model Reduction Algorithms
Algorithm with Fixed Length Sampling.
Algorithm with Flexible Length Sampling.
4.3 Comparison of the Two Algorithms
5 Modelling Language and Model Definition
5.1 PALOMA
5.2 Model Definition
6 Experiments
6.1 Discussion
7 Conclusion
References
Author Index

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Computer Performance Engineering

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