DBIMAT: A Runtime Program Monitoring and Performance Analysis Tool Based on Dynamic Program Instrumentation Frameworks

2013 ◽  
Author(s):  
Huazhuang Yao ◽  
Wang Shuai ◽  
Guo Chao ◽  
Yongyan Wang
Keyword(s):  
Performance Analysis ◽  
Dynamic Program ◽  
Analysis Tool ◽  
Program Monitoring ◽  
Program Instrumentation ◽  
And Performance

scholarly journals Network Measurement and Performance Analysis at Server Side

2018 ◽  
Vol 10 (7) ◽  
pp. 67 ◽  
Author(s):  
Guang-Qian Peng ◽  
Guangtao Xue ◽  
Yi-Chao Chen
Keyword(s):  
Performance Analysis ◽  
Network Performance ◽  
Mobile Apps ◽  
Detailed Knowledge ◽  
Analysis Tool ◽  
Relay Nodes ◽  
Data Intensive ◽  
Server Side ◽  
And Performance ◽  
Network States

Network performance diagnostics is an important topic that has been studied since the Internet was invented. However, it remains a challenging task, while the network evolves and becomes more and more complicated over time. One of the main challenges is that all network components (e.g., senders, receivers, and relay nodes) make decision based only on local information and they are all likely to be performance bottlenecks. Although Software Defined Networking (SDN) proposes to embrace a centralize network intelligence for a better control, the cost to collect complete network states in packet level is not affordable in terms of collection latency, bandwidth, and processing power. With the emergence of the new types of networks (e.g., Internet of Everything, Mission-Critical Control, data-intensive mobile apps, etc.), the network demands are getting more diverse. It is critical to provide finer granularity and real-time diagnostics to serve various demands. In this paper, we present EVA, a network performance analysis tool that guides developers and network operators to fix problems in a timely manner. EVA passively collects packet traces near the server (hypervisor, NIC, or top-of-rack switch), and pinpoints the location of the performance bottleneck (sender, network, or receiver). EVA works without detailed knowledge of application or network stack and is therefore easy to deploy. We use three types of real-world network datasets and perform trace-driven experiments to demonstrate EVA’s accuracy and generality. We also present the problems observed in these datasets by applying EVA.

scholarly journals ANALISIS INVENTARISASI ASET MILIK PEMERINTAH DAERAH KABUPATEN ROTE NDAO TAHUN 2019

2020 ◽  
Vol 12 (2) ◽  
pp. 135-148
Author(s):  
Cicilia Apriliana Tungga
Keyword(s):  
Information Technology ◽  
Performance Analysis ◽  
Research Data ◽  
Process Research ◽  
Analysis Tool ◽  
Improve Performance ◽  
District Government ◽  
Asset Inventory ◽  
And Performance ◽  
Asset Data

This research aims to analyze the level of the importance and the performance of the implementation of factors that determine the successful inventory of assets in Rote Ndao Regency. Importance Performance Analysis (IPA) is used as an analysis tool to process research data. The results showed that asset inventory has not been fully optimal. This can be seen from the results of data analysis that is unbalancing between interest and performance levels. There are 4 inventory factors that are priority to improve performance, namely: regional asset logging activities in Rote Ndao District Government, improvement of updated data base, implementation of regional asset census to get correct and accurate asset data, and information technology capabilities and completeness of infrastructure facilities in the office supported by HR capabilities   Keywords: inventory of regional assets , local government, Importance Performance Analysis (IPA)

scholarly journals Grid Environment for On-line Application Monitoring and Performance Analysis

2004 ◽  
Vol 12 (4) ◽  
pp. 239-251 ◽  
Author(s):  
Bartosz Baliś ◽  
Marian Bubak ◽  
Włodzimierz Funika ◽  
Roland Wismüller ◽  
Marcin Radecki ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Monitoring System ◽  
Performance Monitoring ◽  
Analysis Tool ◽  
Distributed Monitoring ◽  
Performance Measurements ◽  
Grid Environment ◽  
Graphical Tool ◽  
On Line ◽  
And Performance

This paper presents an application monitoring infrastructure developed within the CrossGrid project. The software is aimed at enabling performance measurements for the application developer and in this way facilitating the development of applications in the Grid environment. The application monitoring infrastructure is composed of a distributed monitoring system, the OCM-G, and a performance analysis tool called G-PM. The OCM-G is an on-line, grid-enabled, monitoring system, while G-PM is an advanced graphical tool which allows to evaluate and present the results of performance monitoring, to support optimization of the application execution. G-PM supports build-in standard metrics and user-defined metrics expressed in the Performance Measurement Specification Language (PMSL). Communication between the G-PM and the OCM-G is performed according to a well-defined protocol, OMIS (On-line Monitoring Interface Specification). In this paper, the architecture and features of the OCM-G and G-PM are described as well as an example of use of the monitoring infrastructure to visualize the status and communication in the application, to evaluate the performance, including discovering the reason of the performance flaw.

Technology auditing and risk management of technology incubators/science parks

2017 ◽  
Vol 13 (1) ◽  
pp. 44-56 ◽  
Author(s):  
Jarunee Wonglimpiyarat
Keyword(s):  
Risk Management ◽  
Performance Analysis ◽  
Management Tool ◽  
Analysis Tool ◽  
Science Parks ◽  
New Approach ◽  
Content Type ◽  
Management Of Technology ◽  
Technology Incubators ◽  
And Performance

Purpose The purpose of this paper is to discuss the application of risk management and auditing to technology incubators/science parks. The proposed audit plan focusses on the risk assessment using the Committee of Sponsoring Organizations of the Treadway Commission (COSO) framework. Design/methodology/approach The risk-based audit plan for auditing and managing the risks associated with the operation of technology incubators/science parks is based on the application of the COSO framework. Findings The proposed audit plan and performance analysis as a result of COSO application can be used as a risk management tool to improve effective operation of the incubator programmes. Originality/value The paper addresses the challenges of new auditing approach. In particular, the study applies the COSO framework to manage the risks of technology incubators/science parks which would help fill the gap in technology auditing. The audit plan and the performance analysis tool provide a new approach to assist R&D managers in performing risk assessments across various aspects of incubation operation.

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