Journal Information
The Journal of Systems Architecture: Embedded Software Design (JSA)
Impact Factor:

Call For Papers
The Journal of Systems Architecture: Embedded Software Design (JSA) is a journal covering all design and architectural aspects related to embedded systems and software. It ranges from the microarchitecture level via the system software level up to the application-specific architecture level. Aspects such as real-time systems, operating systems, FPGA programming, programming languages, communications (limited to analysis and the software stack), mobile systems, parallel and distributed architectures as well as additional subjects in the computer and system architecture area will fall within the scope of this journal. Technology will not be a main focus, but its use and relevance to particular designs will be.

Types of Paper
The journal welcomes the following types of contributions:
• Original research articles
• Review articles, providing a comprehensive review on a scientific topic
• Fast Communications: Short, self-contained articles on ongoing research, or reporting interesting, possibly tentative, ideas, or comments on previously published research
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Testing and Verification of Non-Functional Aspects of Cyber-Physical Systems: Theories, Methods, and Tools
Submission Date: 2020-07-25

Cyber-Physical Systems (CPSs) are composed by integrating and networking physical and computational (hardware, software, and network) components which work in dynamic environments. Example applications are smart grids, autonomous driving systems, healthcare and medical systems, robotics systems, and situational awareness real-time systems. These systems are composed of components of different non-functional requirements which should be verified or tested to find that the CPS will work satisfactory. Thus, testing and verification of CPSs (against specifications, if exist) is a must to be able to trust them (for critical situations) and to improve their behavior (for better user experience). In this special issue, we welcome original submissions around all theoretical and tool-oriented methods of testing, verification, and analysis of CPSs (in both views of standalone and cross-layer). Topics of interest, in the scope of embedded and cyber-physical systems, include (but not limited to): Non-functional testing and verification Security, energy, performance, and other non-functional metrics Control verification and control performance testing and analysis Test design and model-based testing Test oracle for non-functional properties Test platform and automation Automated test data generation Methodologies for testing and verification Metamorphic testing Distributed testing Empirical testing Runtime testing and verification Static and dynamic verification Toolchain for testing, verification, and analysis of software, hardware, and system Case studies, e.g. mobile applications, healthcare systems, ECUs, etc.
Last updated by Dou Sun in 2019-11-24
Special Issue on Parallel and Distributed Systems Architectures for Smart City
Submission Date: 2020-07-29

Smart cities have become the key enabler for next-generation intelligent systems with a mission to improve security, reliability, and efficiency. The increased profusion of advanced sensing technologies in recent years has disclosed a significant proliferation of compute-intensive applications in smart cities. The integral part of smart city applications includes various features such as environmental management, natural resource management, underwater exploration, social sustainability, regional competitiveness, cybersecurity, and improved quality of life. Such systems continuously produce a huge amount of data with a demand for advanced computing paradigms for data collection and processing. For instance, to predict the rate of urbanization in modern smart cities, city planning strategies based on population are derived with the help of salient data modeling and analytics approaches, which form the basis for intelligent decision making. Usually, sensor data from smart city applications are continuously monitored and analyzed for real-time automation for intelligent decision-making processes. Due to the reason that smart city applications are resource-constrained and data-intensive in nature the process of design and development of appropriate computing architectures can enhance the sustainable growth of emerging smart cities. In the current scenario, the smart city offers the most convenient and personalized services to the end-users. However, in future, there can be various security and privacy challenges. It is observed that smart, sustainable, secure, and energy-efficient computing architectures have become the basic requirement for the present-day smart city environment. Without these requirements, growth in smart cities is highly uncertain and diminished. Also, data computing infrastructure plays a prominent role in future smart city applications. An effective data infrastructure, with appropriate parallel or distributed computing architecture in a centralized or decentralized computing environment can enhance present-day smart city services to the next level of modern intelligent systems. These technological advancements can enhance various smart city services such as smart transportation, smart parking, smart buildings, smart lighting systems, smart healthcare, and many more. The enrichment of the computing platform not only add benefit to a particular application, but it can develop the smart city vision as a whole. Accordingly, it is well-known fact that research work relating to smart city computing paradigms is fast growing with increasing requirements for technological formulations and high-performance computing models. Sustainable smart city computing paradigms are highly inter-disciplinary which includes various computing requirements. In this context, this special issue provides a platform for the researches and academicians to present and enhance the latest research solutions. We invite novel and innovative interdisciplinary system architectures for the smart city computing environment. Efficient system designs, architectures, standards, protocols, and models from a computing perspective are invited for the special issue. The topics of interest for the special issue include, but not limited to the following: Data-driven Internet of Things (IoT) based blockchain architecture for emerging smart city requirements and future directions Synergy cloud computing, IoT, blockchain, fog computing, edge computing and grid computing dependent architecture for future generation computer intelligent smart cities Frontiers in distributed, parallel and cluster computing for improved quality of services in sustainable smart cities A multi-dimensional fog computing architectures and standards for various smart city applications A computing perspective on smart cities with advanced parallel and distributed architectures Sustainable development in smart cities with progression in parallel and distributed computing architectures Design and development of new innovative smart cities with various parallel and distributed system architectures Strategies for incorporation and co-existence of technologies and networks for effective resource management in smart cities Smart, connected and product based IoT architectures that transforms IoT innovations in to real-world smart city solutions Risk management cybersecurity architectures for smart cities with improved security and privacy measures Advanced intelligent computing architectures (artificial intelligence, machine learning, federated learning, etc.) to tackle emerging issues in remote health monitoring across smart cities Vision, goals and future directions of traditional and emerging computing paradigms for sustainable growth in smart cities Role of computing paradigms in e-governance for smart-cities (data analytics and decision making with advanced computing architectures). Standard computing architectures for smart facilities engineering and service management in smart cities Recent technological architectures for energy-aware smart construction management and operation maintenance in smart buildings
Last updated by Dou Sun in 2020-04-27
Special Issue on Augmented Reality and Internet of Things in the age of 5G
Submission Date: 2020-08-15

Internet of Things (IoT) has achieved adoption in many application domains. The upcoming 5G technology will help to unleash the full potential of IoT by enabling ultra-low-latency and high-bandwidth wireless communication, with vast improvements over the current capabilities of the 4G. Augmented Reality (AR) is a key technology that will facilitate a major paradigm shift in how users interact with data, by visualizing data from a multitude of sensors and overlaying relevant and actionable information over the physical world. 5G will help promote the wide adoption of AR for many applications beyond video gaming. The convergence of AR and IoT in the era of 5G leads to many challenging research directions that can potentially have large impacts on the modern society. Topics of this Special Issue include, but are not limited to: Novel AR techniques and devices IoT communication protocols for AR 5G and its applications in AR 5G-based video transfer techniques for AR 3D reconstruction in IoT environments for AR Real-world Applications of AR in IoT environments Knowledge-based discovery of devices, data and services in the IoT
Last updated by Dou Sun in 2020-04-27
Special Issue on 5G Networks: Architectures and Protocols for Integrating Edge Computing, Caching, and Offloading (SI: 5G Networks-Edge)
Submission Date: 2020-08-24

5G network does not interfere with the other wireless signals and can transmit data at a higher speed. Since 5G utilizes a higher frequency bandwidth, it cannot travel the longer distance and penetrate through solid objects. The speed of 5G assures faster connections compared with other generation networks. To attain fastest data transmission, data centers should be closer to the sources. Edge computing plays a critical role by bringing a distributed system of network and enhancing reliability, performance, and cost. In the distributed system of computing, local or device-to-device (D2D) or base station cell caching is possible along with D2D or base station cell offloading. Discussing about the architecture of the distributed system encompasses a base station, data centers, and mobile users. All the devices should be interlinked through a base station or data centers. Caches can be stored in one user or the base station and accessed from local or D2D. Protocol should be decentralized and connect edge computing with caches and offloading tasks such as virus scanning, searching. By integrating edge computing with caching and offloading in 5G networks, the system allows faster handling of real-time data and analysis. This special issue on architecture and protocols for integrating edge computing, caching, and offloading in 5G networks gives us an ideal platform to share innovative concepts and discussions related to the architecture and protocols for integration of edge computing, caching and offloading in 5G networks promoting reduced usage of bandwidth. Suitable Topics of interest include but not specified to: Lower latency computation offloading infrastructure for 5G network Optimization of workload for integrating edge computing, caching and offloading Complexity and performance analysis for integrating edge computing in 5G networks Policies and regulations based discussions for 5G network and edge computing integration Energy efficient software and services for edge computing and caching in 5G Security architecture and management for 5G networks Emerging applications of malware attack and intrusion detection in mobile based communication networks Cloud and data center management for customers using next generation communication networks Signal processing for integrating edge computing with caching and offloading in 5G Intelligent edge computing for liability and trust in 5G technologies Data protection and information sharing in integrated 5G networks
Last updated by Dou Sun in 2020-04-27
Special Issue on Design Architecture and Applications of Smart Embedded Devices in Internet of Things
Submission Date: 2020-09-01

Internet of Things (IoT) ‘on the rise’ is a mass-media hot topic and is emerging extensively due to its indispensable constituents of embedded devices, smart objects, and smart users, which are tied together by a communication infrastructure. This results in various paradigms such as smart cities, smart homes, smart transportation systems, smart grids, and smart logistics, just name of few. These embedded devices (sensors, RFID tags, actuators) in IoT are uniquely addressable, interconnected and interlinked in a heterogeneous wireless environment through standard communication protocols. Unlike existing technologies, IoT is the one which enables the loosely-coupled decentralized type of networking leading to an autonomous physical system with sensing/actuating, data processing, decision making, and storing functionalities. In addition, it provides a platform independent of existing technologies to enable user-centricity and provides a stage for performing user dependent actions, like controlling the status of an embedded device via Internet. However, such functionalities are still limited to specific scenarios i.e. controlling smart home appliances, etc. The standardization of IoT is yet to be finalized based on standard protocols and architectures. For this purpose, various other similar fields such as Machine to Machine communication, Cyber Physical System, Wireless Sensor Networks need to be analyzed based on the existing architectures and protocols such as Constrained Application Protocol, Web of Things Model, etc. The goal is to design an efficient architecture of smart embedded devices for various IoT environments i.e. smart homes, cities, building, vehicles, etc. considering energy consumption, processing power, communication technologies, resiliency, cost, performance, etc. However, keeping everything on a single platform is a challenging job. Therefore, a standard is needed to cover the integration of the embedded devices with the existing technologies in an IoT environment. The recent development shows impressive enhancements in concatenating the existing technologies under an umbrella. However, there is still a lack of designing of universal embedded devices for various type of IoT environments. Journal of Systems Architecture is soliciting high quality unpublished manuscripts presenting original results for its special issue. The aim of this special issue is to bring novel research ideas, highlight the open issues, and indicate current research advancements and future directions in designing of smart embedded devices, their architectures and various applications in IoT. Potential topics include, but are not limited to: Next generations of smart embedded devices architectures New algorithms and architectures for embedded devices in IoT paradigm Embedded devices supporting heterogeneous technologies in IoT Intelligent techniques supporting embedded devices Implementation of decision-making modeling in embedded devices Semi and full autonomous architectures based on embedded devices Integration of embedded devices in smart homes, smart buildings, etc IoT applications specific smart embedded devices Industrial practices and benchmark suites for embedded devices in IoT Practices, Issues and Challenges in migrations from conventional embedded devices to smart embedded devices Protocols supporting existing embedded devices
Last updated by Dou Sun in 2020-04-30
Special Issue on ubiquitous and intelligent embedded systems (VSI:UIES20)
Submission Date: 2020-09-30

Ubiquitous and intelligence embedded represents a new generation of smart cooperative objects that are equipped with AI software/hardware to enable a wide range of intelligent environments, e.g. smart cities, intelligent manufacturing, ambient assisted living, autonomous driving, just name of few. This results in the urgent and pressing needs of divergent intelligent embedded systems to fit into those specific working contexts with more scalability at multiple designing dimensions of models and systems. However, the system-level strong coupling of resource-hungry AI and resource-constrained embedded platform addresses new computing issues on how to make full usage of limited hardware to support energy efficient AI systems and how to efficiently migrate traditional intelligent algorithms to on-edge devices. Designing such ubiquitous and intelligent embedded systems also brings many challenging research issues of domain-specific optimization in software/hardware, such as intelligent sensor, 5G communication, IoT, industrial internet, system reliability, and so on. The goal of this special issue is to design smart embedded systems beyond the in-hand standards and technologies and deploy intelligence to the any places they need. Potential topics include, but are not limited to: Design of intelligent embedded systems Lightweight deep learning for IoTs Low-power design for intelligent embedded systems Credible embedded systems Ubiquitous computing and context-ware computing Heterogeneous multi-core system design Design of system-level software for embedded systems On-edge computing CPS and IoTs Embedded vision SW/HW co-design Real-time scheduling model and algorithm for embedded AI Applications for embedded systems (consumer electronics, 5G communication, manufacturing, aerospace engineering, health-care)
Last updated by Dou Sun in 2020-05-27
Special Issue on Security and Privacy in Fog Computing-based Critical Infrastructures
Submission Date: 2021-01-31

The increasing integration of information and communication technologies has undoubtedly boosted the efficiency of Critical Infrastructures (CI). However, the first wave of IoT devices, together with the management of enormous amount of data generated by modern CIs, has created serious architectural issues. Fog computing has emerged as a viable solution for many large-scale latency-sensitive CI-based applications. Usually, the concept of fog computing is useful for various mission critical applications that require real-time data processing. Despite the concept of fog computing offering several notable features (e.g., low latency, dynamic per user optimization, etc.), many issues remain for it to be an efficient computing paradigm. Especially, some issues related to performance and security urgently need to be considered. Given the importance of security considerations for IoT environments and the growing interest in fog computing and its associated technologies, this special issue is focused on security and privacy issues in fog computing-based critical Infrastructures (like smart-grid, IoT-based e-healthcare system, Vehicle-to-grid network, etc) Here we welcome high quality research from both academia and industry, with particular emphasis on novel ideas and techniques. Only technical papers describing previously unpublished, original, state-of-the-art research, and not currently under review by a conference or a journal will be considered. We will recommend submission of multimedia with each paper as this significantly increases the visibility, downloads, and citations of articles. Selection and Evaluation Criteria Relevance to the topics of this special issue Research novelty (e.g., new techniques) and potential impact Readability Potential topics include, but are not limited to: Authentication for fog computing- based critical Infrastructures Privacy for fog computing-based critical Infrastructures Accountability for fog computing-based critical infrastructures Block-chain security for fog-enabled critical infrastructures Hardware security of devices in fog-enabled critical infrastructures Safety issues in fog-enabled critical infrastructures Access control and key-management for fog-enabled critical infrastructures Theories, methods and applications in machine learning addressing security issues and solutions for fog-enabled critical infrastructures Trust management for fog computing Test-bed, prototype implementation and fog-based security applications New paradigms facilitating fog-enabled critical infrastructures Data security in fog-enabled critical infrastructures Deception Technologies for securing critical infrastructures
Last updated by Dou Sun in 2020-07-04
Special Issue on Safe and Intelligent Embedded Software and Systems
Submission Date: 2021-02-01

With the constraint of limited resources, embedded systems demand novel security techniques to protect their critical operations. For robustness, various resource-efficient fault tolerance techniques for reliable operations are also needed. On the other hand, Artificial Intelligence/Machine Learning (AI/ML) has become the key enabling technology for many applications, from recommendation systems to facial recogintion. However, the Deep Learning and Deep Reinforcement Learning, as the most effective AI/ML techniques, are generally quite complex where the model training are very computation-intensive and are typically performed offline and in the cloud. Even the runtime model inference may demand significant computing power from the computing platform, which may be a heterogeneous mixture of multicore CPUs, GPUs, DSPs, FPGAs and ASICs. Such complex requirements on safety, security, reliability and intelligence call for innovative security, fault tolerance, and AI/ML techniques for resource-constained embedded systems, such as Internet of Things (IoTs), where many challenging research issues of performance, efficiency, power-consumption, reliability, dependability and security need to be addressed. This special section aims to present a collection of papers on the following topics in the context of safe and intelligent embedded software and systems: Novel secure designs for embedded software and systems Innovative fault tolerance techniques for embedded software and systems Power efficient fault tolerance approaches embedded software and systems Intelligent algorithms and architectures for resource-constrained platforms AI/ML techniques for specialized heteorgenos platforms with GPUs/DSPs/FPGAs Performance optimization for safe and intelligent embedded systems
Last updated by Dou Sun in 2020-07-04
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