scholarly journals NetLogger: A toolkit for distributed system performance tuning anddeb ugging

2002 ◽  
Author(s):  
Brian Tierney ◽  
Dan Gunter
Keyword(s):  
Distributed System ◽  
System Performance ◽  
Performance Tuning

Predicting Graceful Extensibility of Human-Machine Systems: A New Analysis Method for Evaluating Extensibility Plots to Anticipate Distributed System Performance

2020 ◽  
Vol 64 (1) ◽  
pp. 313-318
Author(s):  
Dane A. Morey ◽  
Jesse M. Marquisee ◽  
Ryan C. Gifford ◽  
Morgan C. Fitzgerald ◽  
Michael F. Rayo
Keyword(s):  
Artificial Intelligence ◽  
Distributed System ◽  
System Performance ◽  
Healthcare Setting ◽  
Evaluation Methods ◽  
Performance Data ◽  
Analysis Method ◽  
Machine System ◽  
Machine Systems

With all of the research and investment dedicated to artificial intelligence and other automation technologies, there is a paucity of evaluation methods for how these technologies integrate into effective joint human-machine teams. Current evaluation methods, which largely were designed to measure performance of discrete representative tasks, provide little information about how the system will perform when operating outside the bounds of the evaluation. We are exploring a method of generating Extensibility Plots, which predicts the ability of the human-machine system to respond to classes of challenges at intensities both within and outside of what was tested. In this paper we test and explore the method, using performance data collected from a healthcare setting in which a machine and nurse jointly detect signs of patient decompensation. We explore the validity and usefulness of these curves to predict the graceful extensibility of the system.

Performability Modeling of Distributed Systems and Its Formal Methods Representation

2020 ◽  
pp. 203-233
Author(s):  
Razib Hayat Khan
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
Functional Properties ◽  
Distributed System ◽  
System Performance ◽  
Early Stage ◽  
Behavioral Changes ◽  
Design Development ◽  
Modeling Framework ◽  
System Components

A distributed system is a complex system. Developing complex systems is a demanding task when attempting to achieve functional and non-functional properties such as synchronization, communication, fault tolerance. These properties impose immense complexities on the design, development, and implementation of the system that incur massive effort and cost. Therefore, it is vital to ensure that the system must satisfy the functional and non-functional properties. Once a distributed system is developed, it is very difficult and demanding to conduct any modification in its architecture. As a result, the quantitative analysis of a complex distributed system at the early stage of the development process is always an essential and intricate endeavor. To meet the above challenge, this chapter introduces an extensive framework for performability evaluation of a distributed system. The goal of the performability modeling framework is to consider the behavioral change of the system components due to failures. This reveals how such behavioral changes affect the system performance.

Performability Modeling of Distributed Systems and Its Formal Methods Representation

2021 ◽  
pp. 704-727
Author(s):  
Razib Hayat Khan
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
Functional Properties ◽  
Distributed System ◽  
System Performance ◽  
Early Stage ◽  
Behavioral Changes ◽  
Design Development ◽  
Modeling Framework ◽  
System Components

A distributed system is a complex system. Developing complex systems is a demanding task when attempting to achieve functional and non-functional properties such as synchronization, communication, fault tolerance. These properties impose immense complexities on the design, development, and implementation of the system that incur massive effort and cost. Therefore, it is vital to ensure that the system must satisfy the functional and non-functional properties. Once a distributed system is developed, it is very difficult and demanding to conduct any modification in its architecture. As a result, the quantitative analysis of a complex distributed system at the early stage of the development process is always an essential and intricate endeavor. To meet the above challenge, this chapter introduces an extensive framework for performability evaluation of a distributed system. The goal of the performability modeling framework is to consider the behavioral change of the system components due to failures. This reveals how such behavioral changes affect the system performance.

Performance Optimization Method on Smart Grid Information Platform

2013 ◽  
Vol 765-767 ◽  
pp. 1041-1045
Author(s):  
Lin Qian ◽  
Dong Hui Li ◽  
Xiao Zhi Wu ◽  
Guang Xin Zhu ◽  
Jiang Hui Liu
Keyword(s):  
Smart Grid ◽  
Performance Optimization ◽  
System Performance ◽  
Optimization Method ◽  
Performance Tuning ◽  
Practical Significance ◽  
Chinese Government ◽  
Information Platform ◽  
Erp System

In recent years, with the development of economics, Chinese government feels obliged to build a strong smart grid, state grid company starts the construction process of SG-ERP system comprehensively. However, system performance bottleneck gradually has been spotted due to expanding of IT systems. So it has important theoretical value and strong practical significance to do research on smart grid information platform. This paper proposed a framework of performance tuning for large transaction database used in smart grid based on state grid information platform construction, this method will break system performance bottlenecks, improving the service quality of the platform. The results show that the proposed method can greatly increase the quality of system running, and provide a reliable guarantee for the running in strong smart grid.

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