Understanding and Comparing Approaches for Performance Engineering of Self-adaptive Systems Based on Queuing Networks
JUSPN, volume-14 , Issue 2 (2021), PP 27 - 35
Published: 30 Apr 2021
by Davide Arcelli from Università degli Studi dell’Aquila, L’Aquila, Italy, 67100
Abstract: Enabling self-adaptation within hardware/software systems is a complex task, mainly due to environment uncertainty that has to be faced while the system is providing its functionalities. Besides, non-functional goals that have to be met by the system may be introduced, defining Quality-of-Service (QoS) requirements which drive the adaptation. This paper enhances a previous study which surveyed the literature with respect to performance-driven self-adaptation, supported by the Queuing Network paradigm. The seven approaches identified in previous work are detailed in this paper based on a well-defined taxonomy deriving from the former’s classification scheme and spanning over different dimensions, with particular emphasis on the way adaptation mechanisms are introduced, e.g. available knobs, nonfunctional goals, sources of uncertainty. Based on such taxonomy, internal characteristics of those approaches are described, as well as commonalities and differences, aimed at providing a detailed view of the current state-of-art in the context of performance-driven self-adaptation supported by the Queuing Network paradigm. read more... read less...
Keywords: Self-Adaptive Systems, Software Architecture, Autonomous Systems; Software Performance Engineering; Queuing Networks.
Problems of Quantitative Estimation of the TPP’ ACS TP Intelligence Level
JUSPN, volume-14 , Issue 2 (2021), PP 21 - 26
Published: 23 Apr 2021
by E. K. Arakelyan, A. V. Andryushin, Pashchenko F.F. S. V. Mezin, A. A. Kosoya from National Research University “MPEI”, Moscow, Russia, 111250, V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia,117997
Abstract: Actual problems of increasing the intelligence of TPP’ (thermal power plant) automated control systems (ACS) built on the basis of modern PTC (program and technical complexes) are considered. It is shown that from the standpoint of the modern approach, complex technical control systems satisfy the definition of intelligent control systems as systems that act rationally and optimally. It is from these positions that the report considers the problems of increasing the intelligence of the TPP’ automated control system based on the creation of a unified system for improving the quality of control and solving optimization problems at all hierarchical levels of technological and production processes control. As an estimation of the level of intelligence, it is proposed to use a conditional "intelligence coefficient", the essence of which is to determine the share of intelligent technologies in the total volume of performed functions of the automated control system on the considered task or control function. A method for determining the intelligence coefficient at hierarchical levels of control and the automated control system as a whole is proposed. An illustrative example of calculating this coefficient at all hierarchical levels of control in relation to TPPs with CCGT (combine circle gas turbine)) PGU-450 is provided. It is shown that for a significant increase in the level of intelligence of the ACS based on PTC, special attention should be paid to the intellectualization of optimization problems at the block and station levels of control. read more... read less...
Keywords: Intelligent System, Control, Rationality, Optimality, Intelligence Increasing, Intelligence Coefficient, Function Groups, Hierarchical Levels, Methodology, Illustrative Example
Convergence of Internet of Things and Blockchain Technology in Managing Supply Chain
JUSPN, volume-14 , Issue 2 (2021), PP 11 - 19
Published: 20 Apr 2021
by Kamalendu Pala, Ansar-Ul-Haque Yasar from Department of Computer Science, City, University of London, London, United Kingdom, EC1V 0HB, Transportation Research Institute (IMOB), Hasselt University, Hasselt, Belgium, B-3590
Abstract: Information and communication technologies (ICT) are ushering enormous evolution in recent decades, and many disruptive technologies, such as the Internet of Things (IoT), blockchain technology, big data, and service-oriented computing (SOC), have emerged. These technologies are guiding the supply chain management (SCM) community and enable the fusion of digital and physical world of many industries (e.g. automotive, retail, pharmaceutical, apparel). Modern supply chains have transformed into highly complex vale creating business networks and turned into an important source of competitive advantage. However, it has become increasingly challenging to cross-check the source of raw materials and maintain visibility of products and merchandise, while they are moving through the value chain network. The application of the IoT can help companies to observe, track, and monitor products, activities, and processes within their respective value chain networks. In combination with IoT, blockchain technology can enable a wider range of different application scenarios to improve value chain transparency and to increase the effectiveness of business transactions trust. In this way, business information system architecture plays an important role in storing, processing, and distributing data and information. This paper presents a blockchain-based architecture for the IoT applications, which brings distributed data processing capabilities using a SOC framework to support business services in the apparel manufacturing network. read more... read less...
Keywords: Apparel Manufacturing, Big Data, Blockchain Technology, Internet of Things, Service-Oriented Computing, Supply Chain Management
iXen: Secure Service Oriented Architecture and Context Information Management in the Cloud
JUSPN, volume-14 , Issue 2 (2021), PP 01 - 10
Published: 16 Apr 2021
by Euripides G.M. Petrakis, Xenofon Koundourakis from School of Electrical and Computer Engineering, Technical University of Crete (TUC), Chania, Crete, Greece
Abstract: iXen's ambition is to overcome the limits of existing IoT platforms in the cloud and deal with challenges of security and interoperability. Therefore, iXen is interoperable and expandable (i.e. services can be added or removed) while being secure by design: access to services is granted only to authorized users (or other services) based on user roles and access policies. Leveraging principles of Service Oriented Architectures (SOA) and the most recent EU standards for context information management, iXen is implemented as a composition of RESTful micro-services in the cloud. iXen adopts a 3-tier architecture design model. The first layer supports connectivity of the vast diversity of IoT devices with the cloud. The second (middle) layer implements IoT data functionality including, database, security and context management services allowing devices to publish information and, users (or other services) subscribed to devices to get notified about the availability of this information. Flow-based programming services in the middle layer allow fast development of new applications by wiring together IoT devices and services. The third layer makes IoT applications available to customers based on subscriptions. The experimental analysis shows that iXen is responding in real-time to complex service requests under heavy workloads. read more... read less...
Keywords: Cloud, IoT, Service Oriented Architecture, Micro-Services, Context Management, Flow-Based Programming
CLASSIFICATION OF LOGICAL VULNERABILITY BASED ON GROUP ATTACK METHOD
JUSPN, volume-14 , Issue 1 (2021), PP 19 - 26
Published: 21 Jan 2021
by Faisal Nabi, Jianming Yong, Xiaohui Tao from School of Management and Enterprise, University of Southern Queensland1West St, Darling Heights QLD 4350, Australia School of computer Sciences, University of Southern Queensland, QLD 4350, Australia
Abstract: New advancements in the field of e-commerce software technology have brought many benefits; at the same time, however, developing processes always leads to a number of different problems, from the design phase to the implementation phase. Software faults and defects increase the problems with reliability and security and for these reasons; a solution for these issues is needed. This paper addresses the problems associated with a lack of clear component-based web application related classification of logical vulnerabilities. The primary method of addressing the issues is through identifying Group Attacking Method by categorizing two different types of vulnerabilities in component-based web applications. read more... read less...
Keywords: Security Dimensions, CBS Application, Group Attack Method, Application logic, Attack Classification
DWPT vs OFDM Under a Noisy Industrial Channel
JUSPN, volume-14 , Issue 1 (2021), PP 13 - 17
Published: 18 Jan 2021
by Safa Saadaoui , Mohamed Tabaa, Khadija Bousmar, Fabrice Monteiro, Abbas Dandache from LPRI, EMSI Casablanca, Morocco, LGIPM, Lorraine University, Metz, France
Abstract: In the industrial world, a trend towards connected, robotic and intelligent factories is in constant development to face competition from countries with low production costs. The industrial revolution ‘Industry 4.0’ is considerably reducing the boundaries between the physical and digital worlds. This has given rise to interconnected factories in which people, machines and products interact with each other using smart sensors. Commonly referred to as Industrial Internet of Thing (IIoT). Except that, it requires adapted communication systems for the industrial environment. Such a propagation environment is known by its complexity that should be considered in order to propose a robust and reliable communicating system. In this paper, a performance evaluation between a pulse-modulated Discrete Wavelet Packet Transform (DWPT) system and an Orthogonal Frequency Division Multiplexing (OFDM) multicarrier modulation system over a noisy industrial channel will be presented. Thus, allowing not only to provide an alternative to conventional high-rate industrial wireless communication systems but also to know the limits of both techniques read more... read less...
Keywords: IIoT, Industry 4.0, DWPT/IDWPT, OFDM, Industrial Channel
An approach of Complex Infrastructure Networks in Ecological Landscape
JUSPN, volume-14 , Issue 1 (2021), PP 07 - 12
Published: 15 Jan 2021
by Gianni Fenu, Enrico Podda from Department of Computer Science, University of Cagliari, Via Ospedale 72, Cagliari, Italy, 09124
Abstract: In recent years, complex networks have become more and more tools of interest to study dynamics related to land analysis. A further step forward was made studying ecological corridors, useful sets of land patches that connect areas of interest otherwise disjointed and independent. Ecological corridors have proven themselves as particularly useful in order to allow animals, mostly land animals, to migrate in case of adversity taking place in the area of origin, or starvation. It is now established that take care of single areas of interest, like those of the “Natura 2000” project, has shown its limits. Ecological corridors are therefore crucial for better preservation of fauna. However, it is not easy to understand what are the critical issues that lead to critical or unusable ecological corridors. This paper analyzes how patches of ecological corridors can quickly jeopardize the usefulness of the corridor itself and of the entire network which it belongs, even if from a first analysis they do not seem particularly important. read more... read less...
Keywords: Complex Networks, Ecological Networks, Ecological Corridors, Connectivity.
IOT ANALYSIS AND MANAGEMENT SYSTEM FOR IMPROVING WORK PERFORMANCE WITH AN IOT OPEN SOFTWARE IN SMART BUILDINGS
JUSPN, volume-14 , Issue 1 (2021), PP 01 - 06
Published: 11 Jan 2021
by Salam Traboulsia, Stefan Knauth from Faculty of Geomatics, Computer Science and Mathematics, Stuttgart University of Applied Sciences, Schellingstr. 24, D-70174 Stuttgart, Germany
Abstract: With the aim of investigating the effect of climate on the heating in buildings and human productivity, the data of thermal sensors distributed at rooms and buildings level were sent to an implemented analytic management system. This latter integrated an Internet of Things (IoT) open-source software. As part of the smart buildings project, the challenge here is to analyze the aggregated data. Therefore, statistical methods were applied to study the relationship between climate and environmental parameters of the HFT University buildings in the city Stuttgart (Germany) during 2016. Moreover, we studied the effect of indoor temperature on the thermal sensation at the same location. To optimize the result, this study was limited to workdays and cold seasons. read more... read less...
Keywords: Internet of Things (IoT), buildings performance, workplace performance