Model-Driven Performance Analysis Methodology for Distributed Software Systems

Visual simultaneous localization and mapping (VSLAM) is an essential technique used in areas such as robotics and augmented reality for pose estimation and 3D mapping. Research on VSLAM using both monocular and stereo cameras has grown significantly over the last two decades. There is, therefore, a need for emphasis on a comprehensive review of the evolving architecture of such algorithms in the literature. Although VSLAM algorithm pipelines share similar mathematical backbones, their implementations are individualized and the ad hoc nature of the interfacing between different modules of VSLAM pipelines complicates code reuseability and maintenance. This paper presents a software model for core components of VSLAM implementations and interfaces that govern data flow between them while also attempting to preserve the elements that offer performance improvements over the evolution of VSLAM architectures. The framework presented in this paper employs principles from model-driven engineering (MDE), which are used extensively in the development of large and complicated software systems. The presented VSLAM framework will assist researchers in improving the performance of individual modules of VSLAM while not having to spend time on system integration of those modules into VSLAM pipelines.

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Standalone Behaviour-Based Attack Detection Techniques for Distributed Software Systems via Blockchain

Applied Sciences ◽

10.3390/app11125685 ◽

2021 ◽

Vol 11 (12) ◽

pp. 5685

Author(s):

Hosam Aljihani ◽

Fathy Eassa ◽

Khalid Almarhabi ◽

Abdullah Algarni ◽

Abdulaziz Attaallah

Keyword(s):

Attack Detection ◽

Detection Methods ◽

Software Systems ◽

Distributed Software ◽

Detection Techniques ◽

Detection Systems ◽

Novel Approach ◽

Validation Experiment ◽

Critical Issues ◽

Concrete Solution

With the rapid increase of cyberattacks that presently affect distributed software systems, cyberattacks and their consequences have become critical issues and have attracted the interest of research communities and companies to address them. Therefore, developing and improving attack detection techniques are prominent methods to defend against cyberattacks. One of the promising attack detection methods is behaviour-based attack detection methods. Practically, attack detection techniques are widely applied in distributed software systems that utilise network environments. However, there are some other challenges facing attack detection techniques, such as the immutability and reliability of the detection systems. These challenges can be overcome with promising technologies such as blockchain. Blockchain offers a concrete solution for ensuring data integrity against unauthorised modification. Hence, it improves the immutability for detection systems’ data and thus the reliability for the target systems. In this paper, we propose a design for standalone behaviour-based attack detection techniques that utilise blockchain’s functionalities to overcome the above-mentioned challenges. Additionally, we provide a validation experiment to prove our proposal in term of achieving its objectives. We argue that our proposal introduces a novel approach to develop and improve behaviour-based attack detection techniques to become more reliable for distributed software systems.

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Deployment and dynamic reconfiguration planning for distributed software systems

Software Quality Journal ◽

10.1007/s11219-007-9019-2 ◽

2007 ◽

Vol 15 (3) ◽

pp. 265-281 ◽

Cited By ~ 21

Author(s):

Naveed Arshad ◽

Dennis Heimbigner ◽

Alexander L. Wolf

Keyword(s):

Dynamic Reconfiguration ◽

Software Systems ◽

Distributed Software ◽

Reconfiguration Planning

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Hierarchical Performance Modeling and Analysis of Distributed Software Systems

Handbook of Parallel Computing - Chapman & Hall/CRC Computer & Information Science Series ◽

10.1201/9781420011296.ch12 ◽

2007 ◽

pp. 12-1-12-22 ◽

Cited By ~ 1

Author(s):

Reda Ammar

Keyword(s):

Performance Modeling ◽

Software Systems ◽

Distributed Software ◽

Modeling And Analysis ◽

Performance Modeling And Analysis

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