Información de la Revista
The Journal of Systems Architecture: Embedded Software Design (JSA)
Factor de Impacto:

Solicitud de Artículos
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
Última Actualización Por Dou Sun en 2019-11-24
Special Issues
Special Issue on Augmented Reality and Internet of Things in the age of 5G
Día de Entrega: 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
Última Actualización Por Dou Sun en 2020-04-27
Special Issue on 5G Networks: Architectures and Protocols for Integrating Edge Computing, Caching, and Offloading (SI: 5G Networks-Edge)
Día de Entrega: 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
Última Actualización Por Dou Sun en 2020-04-27
Special Issue on Design Architecture and Applications of Smart Embedded Devices in Internet of Things
Día de Entrega: 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
Última Actualización Por Dou Sun en 2020-04-30
Special Issue on ubiquitous and intelligent embedded systems (VSI:UIES20)
Día de Entrega: 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)
Última Actualización Por Dou Sun en 2020-05-27
Special Issue on Security and Privacy in Fog Computing-based Critical Infrastructures
Día de Entrega: 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
Última Actualización Por Dou Sun en 2020-07-04
Special Issue on Safe and Intelligent Embedded Software and Systems
Día de Entrega: 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
Última Actualización Por Dou Sun en 2020-07-04
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