کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
461069 696540 2014 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Flexible resource monitoring of Java programs
ترجمه فارسی عنوان
نظارت منابع انعطاف پذیر برنامه های جاوا
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی


• SPASS-meter, a novel tool for online monitoring of components of software systems.
• Components can be defined declaratively through interfaces (annotations or external).
• Condenses measurement data at runtime = basis for adaptive systems.
• Supports wide range of Java-platforms (incl. Android) and resource types.
• Competitive efficiency (cmp. to Kieker, OpenCore) despite additional processing.

Monitoring resource consumptions is fundamental in software engineering, e.g., in validation of quality requirements, performance engineering, or adaptive software systems. However, resource monitoring does not come for free as it typically leads to overhead in the observed program. Minimizing this overhead and increasing the reliability of the monitored data is a major goal in realizing resource monitoring tools. Typically, this is achieved by limiting capabilities, e.g., supported resources, granularity of the monitoring focus, or runtime access to results. Thus, in practice often several approaches must be combined to obtain relevant information.We describe SPASS-meter, a novel resource monitoring approach for Java and Android Apps, which combines these conflicting capabilities with low overhead. SPASS-meter supports a large set of resources, flexible configuration of the monitoring scope even for user-defined semantic units (components), runtime analysis and online access to monitoring results in a platform-independent way. We discuss the concepts of SPASS-meter, its architecture, realization and validation, the latter in terms of case studies and an overhead analysis based on performance experiments with SPASS-meter, OpenCore and Kieker. SPASS-meter provides a detailed view of the runtime resource consumption at reasonable overhead of less than 3% processing power and 0.5% memory consumption in our experiments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 93, July 2014, Pages 163–186
نویسندگان
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