Monitoring in adaptive systems using reflection

Abstract

Continuous evolution is a key trait of software-intensive systems. Many research projects investigate mechanisms to adapt software systems effectively in order to ease evolution. By observing its internal state and surrounding context continuously using feedback loops, an adaptive system is able to analyze its effectiveness by evaluating quality criteria and then self-tune to improve its operations. The goals of these feedback loops range from keeping single variables in a prescribed range to satisfying non-functional requirements by regulating decentralized, interdependent subsystems.To be able to observe and possibly orchestrate continuous evolution of software systems in a complex and changing environment, we need to push monitoring of evolving systems to unprecedented levels. It has been established that security has to be built into a system from the ground up and cannot be added as an afterthought-the same is probably true for intensive monitoring. We propose to monitor adaptive systems with autonomic elements to enhance their assessment capabilities. In this paper, we discuss how to build monitoring into Java programs from the ground up with reflection technology to detect normal and exceptional system behavior.

Information Artifact Evaluation with TEDSrate

“…Others highlighted the importance of continuous feedback on artifact (use) performance [1,17]. Yet, others have relied on built-in monitoring and self-tuning functionalities as well as automatic user review scanning and salient-issue ranking methods [5,6,13]. Also, although not new, recent studies have reintroduced the utilization of personae and scenarios in both artifact design and artifact evaluation (Anvari, et al, 2015;Schneidewind, et al, 2012).…”

An Investigation of the Monitoring Activity in Self Adaptive Systems

“…A bytecode based instrumentation approach was proposed to monitor and control resource consumption in standard Java Virtual Machines (JVMs) [28], and to generate calling context-sensitive profiles for performance analysis [29,30]. Dowson et al [31 ] discussed how to build monitoring into Java programs from the ground up with reflection technology to detect normal and exceptional system behavior. [32] proposed a runtime monitoring approach to ensure the adherence of the web services to the contracts specified between the involved parties.…”

An Analysis of Language-Level Support for Self-Adaptive Software

“…For example, the metaprogramming support of Java allows one to inspect an object by accessing even private fields. Dawson et al [2008] propose to use Java dynamic proxies to monitor self-adaptive applications by intercepting method calls. Dynamic proxies are part of the reflection facilities of Java because they can provide an interface which is dynamically selected.…”