Performance optimization of distributed applications in an extensible, adaptive environment

被引：0

作者：

Bakic, A

Mutka, MW ^{[1
]}

Rover, DT

Waheed, A

机构：

[1] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA

[2] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA

来源：

FUTURE GENERATION COMPUTER SYSTEMS | 2001年 / 18卷 / 01期

基金：

美国国家科学基金会;

关键词：

instrumentation; performance visualization and analysis; real-time systems;

D O I：

10.1016/S0167-739X(01)00048-6

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Management of performance data is central to the optimization process for complex, high-performance parallel and distributed systems. Management involves data collection, storage, transfer, buffering, filtering, processing, rendering, and presentation by various instrumentation, visualization, and analysis tools. Tool integration technologies and environments play a significant role in making different tools easier to combine and use. We present the PG(RT) environment that we have developed for these purposes. We describe how domain-specific instrumentation and visualization can be developed in PG(RT) and present two examples. The PG(RT) infrastructure is designed to support advanced analysis for resource scheduling, application and instrumentation steering, and performance data mining. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：131 / 145

页数：15

共 50 条

[21] Adaptive resource management middleware in distributed real-time systems
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
不详
[J]. Dianzi Keji Diaxue Xuebao, 2008, 1 (101-104):
[22] Distributed Adaptive Flocking Control for Large-Scale Multiagent Systems
Dey, Shawon
Xu, Hao
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 36 (02) : 3126 - 3135
[23] Design of distributed real time systems in process control applications
Hammerschmidt, O
Vogelsang, H
[J]. COMPUTERS IN INDUSTRY, 1998, 36 (03) : 261 - 270
[24] A platform for instrumentation-based profiling of distributed bytecode applications
Melab, N
Deruelle, L
Bouneffa, M
[J]. PARALLEL AND DISTRIBUTED COMPUTING SYSTEMS, 2001, : 466 - 471
[25] Adaptive Power Optimization and Control for Automobile PEMFC Air Management System Based on Fuzzy Q-Learning and Prescribed Tracking Performance
Wang, Yunlong
Wang, Yongfu
[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2025, 26 (02) : 2609 - 2620
[26] A HYBRID MONITOR FOR BEHAVIOR AND PERFORMANCE ANALYSIS OF DISTRIBUTED SYSTEMS
HABAN, D
WYBRANIETZ, D
[J]. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1990, 16 (02) : 197 - 211
[27] SCALEA: A performance analysis tool for distributed and parallel programs
Truong, HL
Fahringer, T
[J]. EURO-PAR 2002 PARALLEL PROCESSING, PROCEEDINGS, 2002, 2400 : 75 - 85
[28] Palomar adaptive optics project: status and performance
Troy, M
Dekany, R
Brack, G
Oppenheimer, B
Bloemhof, E
Trinh, T
Dekens, F
Shi, F
Hayward, T
Brandl, B
[J]. ADAPTIVE OPTICAL SYSTEMS TECHNOLOGY, PTS 1 AND 2, 2000, 4007 : 31 - 40
[29] SPHERE adaptive optics performance for faint targets
Jones, M. I.
Milli, J.
Blanchard, I.
Wahhaj, Z.
De Rosa, R. J.
Romero, C.
Ihanec, N.
[J]. ASTRONOMY & ASTROPHYSICS, 2022, 667
[30] Guard: Attack-Resilient Adaptive Load Balancing in Distributed Streaming Systems
Daghistani, Anas
Khayat, Mosab
Felemban, Muhamad
Aref, Walid G.
Ghafoor, Arif
[J]. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 19 (06) : 4172 - 4186

← 1 2 3 4 5 →