Efficiency of JADE Agent Platform

As software-intensive systems become larger, more parallel, and more unpredictable the ability to analyze their behavior is increasingly important. There are two basic approaches to behavioral analysis: static and dynamic. Although static analysis techniques, such as model checking, provide valuable information to software developers and testers, they cannot capture and predict a complete, precise, image of behavior for large-scale systems due to scalability limitations and the inability to model complex external stimuli. This chapter explores four approaches to analyzing the behavior of software systems via dynamic analysis: compiler-based instrumentation, operating system and middleware profiling, virtual machine profiling, and hardware-based profiling. We highlight the advantages and disadvantages of each approach with respect to measuring the performance of multithreaded systems and demonstrate how these approaches can be applied in practice.

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Exploiting Agent Technology

Encyclopedia of Information Technology Curriculum Integration ◽

10.4018/978-1-59904-881-9.ch054 ◽

2011 ◽

pp. 323-331 ◽

Cited By ~ 1

Author(s):

Hong Lin

Keyword(s):

Distributed Systems ◽

Software Engineering ◽

Distributed System ◽

Large Scale ◽

Focal Point ◽

Agent Technology ◽

Software Systems ◽

Agent Based ◽

The Right ◽

Cooperating Agents

Agent-oriented design has become one of the most active areas in the field of software engineering. The agent concept provides a focal point for accountability and responsibility for coping with the complexity of software systems both during design and execution (Yu, 2001). It is deemed that software engineering challenges in developing large-scale distributed systems can be overcome by an agent-based approach (Paquette, 2001). In this approach, a distributed system can be modeled as a set of autonomous, cooperating agents that communicate intelligently with one another, automate or semi-automate functional operations, and interact with human users at the right time with the right information.

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Dynamic Analysis and Profiling of Multithreaded Systems

Advanced Operating Systems and Kernel Applications ◽

10.4018/978-1-60566-850-5.ch009 ◽

2011 ◽

pp. 156-199 ◽

Cited By ~ 1

Author(s):

Daniel G. Waddington ◽

Nilabja Roy ◽

Douglas C. Schmidt

Keyword(s):

Operating System ◽

Dynamic Analysis ◽

Large Scale ◽

Behavioral Analysis ◽

Software Systems ◽

Large Scale Systems ◽

Advantages And Disadvantages ◽

Model Complex ◽

Basic Approaches ◽

External Stimuli

As software-intensive systems become larger, more parallel, and more unpredictable the ability to analyze their behavior is increasingly important. There are two basic approaches to behavioral analysis: static and dynamic. Although static analysis techniques, such as model checking, provide valuable information to software developers and testers, they cannot capture and predict a complete, precise, image of behavior for large-scale systems due to scalability limitations and the inability to model complex external stimuli. This chapter explores four approaches to analyzing the behavior of software systems via dynamic analysis: compiler-based instrumentation, operating system and middleware profiling, virtual machine profiling, and hardware-based profiling. We highlight the advantages and disadvantages of each approach with respect to measuring the performance of multithreaded systems and demonstrate how these approaches can be applied in practice.

Download Full-text