The proceedings contain 70 papers. The topics discussed include: auditing the performance test plan to ensure useful results;the one percent solution;10 ways to slow down your java applications;load testing on a budge...
The proceedings contain 70 papers. The topics discussed include: auditing the performance test plan to ensure useful results;the one percent solution;10 ways to slow down your java applications;load testing on a budget;say goodbye to post mortems, say hello to effective problem management;a KALM approach to capacity planning - road rules;bridging numbers and dollars: setting user-centric performance objectives;visualizing Linux I/O performance metrics;planning for the inevitability of failures in a computer center;java performance measurement and analysis;object, measure thyself: performance monitoring and data collection;application scaling on CMT and multi-core systems;understanding the performance and management implications of FICON/FCP protocol intermix mode (PIM);8081 so you want to manage your Z-series MIPS? then detect & control application workload variance!;and exception based modeling and forecasting.
The proceedings contain 128 papers. The topics discussed include: a large UNIX application sizing methodology;a mathematical approach to the management of service requirements;a methodology for modeling M204 online ex...
The proceedings contain 128 papers. The topics discussed include: a large UNIX application sizing methodology;a mathematical approach to the management of service requirements;a methodology for modeling M204 online existing workloads using BEST/1 and MICS MVS model generator;a performance management handbook: documenting the process;a performance model of a fault-tolerant distributed system for evaluating reliability mechanisms;a taxonomy of reasoning strategies for expert systems;a timing estimation method for large system software development;an analytical approach to terminal configuration engineering;becoming a manager: the transition from technician to manager;capacity planning for applications still under development;capacity planning in an ACP/TPF message switching environment;and commercial workload demand forecasting and management reporting at American Airlines.
The proceedings contain 144 papers. The topics discussed include: data communications identification techniques for use in chargeback, capacity planning and reporting;MVS/ESA performance, accounting and capacity data ...
The proceedings contain 144 papers. The topics discussed include: data communications identification techniques for use in chargeback, capacity planning and reporting;MVS/ESA performance, accounting and capacity data that is now captured in MVS/ESA version 4.2;validating outsourcing bids - an exercise in long range capacity planning and forecasting;the costs of storage: guiding users in media selection;a three phase approach to ensure DB2 application performance;managing mission-critical applications for peak performance;a performance engineer's view of systems development and trials;how to avoid disaster in planning for new applications: benchmarking and modeling as a solution;knowledge based decision support for capacity management tools;and capacity planning for new applications throughout a typical development life cycle.
The proceedings contain 89 papers. The topics discussed include: automated performance management advice using computational intelligence;benchmark program generator for compiler performance analysis;capacity modeling...
The proceedings contain 89 papers. The topics discussed include: automated performance management advice using computational intelligence;benchmark program generator for compiler performance analysis;capacity modeling for remote access services;capacity planning analyses of large networks: case study;evolution of performance testing in a distributed client server environment;focus on the end-user in the new data processing environment;load testing in an IR organization: getting by 'with a little help from my friends’;performance management and capacity planning for mainframe oracle systems;planning performance assessment and stress testing;tutorial on an integrated performance & capacity management process;utilizing transformed correlations in performance analyses;and 'muscling-up' your performance and capacity activities to achieve real benefit and value.
The proceedings contain 149 papers. The topics discussed include: a graphical paradigm for the design and analysis of distributed systems;a practical approach for estimating true I/O contention;analysis of data access...
The proceedings contain 149 papers. The topics discussed include: a graphical paradigm for the design and analysis of distributed systems;a practical approach for estimating true I/O contention;analysis of data access methods in a distributed computing system;applying expert system technology to enhance sort performance;how expert is your expert system for performance management;on some performance aspects of the client/server computing paradigm;quick bottleneck prediction for modeling and system performance;the performance of ORACLE financials on various SPARCserver configurations;alarm based vs. historical trending performance management or really large UNIX installation performance management;an analysis of historic UNIX performance and resource usage trends;application performance: an improvement exercise of the third kind;and continuous system measurement: self-referential analysis for insight into your computing environment.
This paper investigates the potential of advanced object detection technologies to automate and enhance the accuracy and efficiency of the vote counting process in democratic elections that utilize paper-based ballots...
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Emotions play an important role in human cognition. With the development of affective computing, there is an increasing number of studies on building emotional machines. However, today’s machines are far from having ...
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Stream-based monitoring is a runtime verification approach for cyber-physical systems that translates streams of input data, such as sensor readings, into streams of aggregate statistics and verdicts about the safety ...
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ISBN:
(纸本)9783031742330;9783031742347
Stream-based monitoring is a runtime verification approach for cyber-physical systems that translates streams of input data, such as sensor readings, into streams of aggregate statistics and verdicts about the safety of the running system. It is usually assumed that the values on the input streams represent fully accurate measurements of the physical world. In reality, however, physical sensors are prone to measurement noise and errors. These errors are further amplified by the processing and aggregation steps within the monitor. This paper introduces RLOLA, a robust extension of the stream-based specification language LOLA. RLOLA incorporates the concept of slack variables, which symbolically represent measurement noise while avoiding the aliasing problem of interval arithmetic. With RLOLA, standard sensor error models can be expressed directly in the specification. While the monitoring of RLOLA specifications may, in general, require an unbounded amount of memory, we identify a rich fragment of RLOLA that can automatically be translated into precise monitors with guaranteed constant-memory consumption.
The proceedings contain 105 papers. The topics discussed include: evolutionary computation in early detection and classification of plant diseases from aerial view of agricultural lands;innovative fire and gas recogni...
The proceedings contain 105 papers. The topics discussed include: evolutionary computation in early detection and classification of plant diseases from aerial view of agricultural lands;innovative fire and gas recognition system featuring remote monitoring and automated alerts;real-time object recognition for advanced driver-assistance systems (ADAS) using deep learning on edge devices;adaptive anomaly detection in cardiovascular time series through deep reinforcement and active learning;challenges and innovations in multimedia and real-time networking: a review of modeling approaches;improving breast cancer diagnosis through advanced image analysis and neural network classifications;and survey of hybrid deep learning autoencoders for enhanced visible light communication systems.
With its robust capabilities for non-linear regression and classification, kernel-based learning has emerged as a fundamental component of state-of-the-art machine learning approaches. In order to improve probabilisti...
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