Evaluating mission critical large-scale embedded system performance in real-time Java

2004 ◽  
Author(s):  
D.C. Sharp ◽  
E. Pla ◽  
K.R. Luecke
Keyword(s):  
Embedded System ◽  
Real Time ◽  
System Performance ◽  
Large Scale ◽  
Mission Critical

Session Initiation and IP Multimedia Subsystem Performance Evaluation

2017 ◽  
pp. 36-49
Author(s):  
Ashraf A. Ali ◽  
Khalid Al-Begain
Keyword(s):  
Performance Evaluation ◽  
Natural Disaster ◽  
System Performance ◽  
Large Scale ◽  
Performance Enhancement ◽  
Single Point ◽  
System Capacity ◽  
Ip Multimedia Subsystem ◽  
Sudden Increase ◽  
Mission Critical

In this chapter analyses the overall system capacity and scalability which is affected by added traffic introduced by more users who are trying to access the system provided services. This could happen in a mission critical communication system during natural disaster or large scale attack, where the system accessibility could be affected due to the sudden increase of number of users. The need for a more detailed study of other SIP and IMS KPIs is vital to have a better understanding of the overall system performance which will enable us to take it a step further toward system performance enhancement and optimization to avoid single point of failure of the system.

Scalability and Performance Analysis of SIP based Multimedia Services over Mission Critical Communication Systems

2019 ◽  
Vol 9 (1) ◽  
pp. 17-31
Author(s):  
Ashraf A. Ali ◽  
Khalid Al-Begain ◽  
Andrew Ware
Keyword(s):  
Performance Indicators ◽  
System Performance ◽  
Communication Systems ◽  
Large Scale ◽  
Multimedia Services ◽  
Large Scale Systems ◽  
Registration Process ◽  
Mission Critical ◽  
And Performance ◽  
Simulation And Evaluation

Various studies have suggested enhancing the performance of large-scale systems, such as mission critical communication systems (MCCSs). However, few have modelled and evaluated the performance of such systems in a way that targets overall system performance in real time. Moreover, it is not enough to define the Key Performance Indicators (KPIs) for a system without using them for system performance measurement and performance evaluation. The Session Initiation Protocol (SIP) and IP Multimedia Subsystem (IMS) both have a set of KPIs, such as the registration process delay, that can be used to measure and thus optimize overall system performance. This article articulates different options for system simulation and evaluation. The registration process affects performance and reflects the overall system performance. The article shows how the registration process is delayed and how the overall system scalability are negatively impacted by system overload.

Large-Scale Real-Time Hybrid Simulation for Evaluation of Advanced Damping System Performance

2015 ◽  
Vol 141 (6) ◽  
pp. 04014150 ◽  
Author(s):  
Anthony Friedman ◽  
Shirley J. Dyke ◽  
Brian Phillips ◽  
Ryan Ahn ◽  
Baiping Dong ◽  
...  
Keyword(s):  
Real Time ◽  
System Performance ◽  
Large Scale ◽  
Hybrid Simulation

Methods for the Quantification of Salivary Cortisol and of a-amylase in Biosensors and Portable Devices

2018 ◽  
Vol 68 (12) ◽  
pp. 2857-2859
Author(s):  
Cristina Mihaela Ghiciuc ◽  
Andreea Silvana Szalontay ◽  
Luminita Radulescu ◽  
Sebastian Cozma ◽  
Catalina Elena Lupusoru ◽  
...  
Keyword(s):  
Real Time ◽  
Medical Practice ◽  
Salivary Cortisol ◽  
Clinical Studies ◽  
Large Scale ◽  
Psychological Research ◽  
Portable Devices ◽  
Salivary Amylase ◽  
Specificity And Sensitivity

There is an increasing interest in the analysis of salivary biomarkers for medical practice. The objective of this article was to identify the specificity and sensitivity of quantification methods used in biosensors or portable devices for the determination of salivary cortisol and salivary a-amylase. There are no biosensors and portable devices for salivary amylase and cortisol that are used on a large scale in clinical studies. These devices would be useful in assessing more real-time psychological research in the future.

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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