CCF推荐 | SCI期刊专刊信息5条

计算机体系结构,并行与分布式计算

Journal of Systems Architecture

Special Issue on the 2019 IEEE Symposium on Real-time Computing ISORC (SI:ISORC19)

全文截稿: 2019-07-29

影响因子: 0.913

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 4区

  • 小类 : 计算机：软件工程 - 4区

网址: http://www.journals.elsevier.com/journal-of-systems-architecture/

ISORC has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology. Accepted papers from ISORC 2019 will be invited for submission to this Special Issue of Journal of Systems Architecture. From the original CFP of the ISORC conference, the specific ORC focus areas include, but are not limited to:
• Programming and system engineering: real-time programming challenges, ORC paradigms, object/component models, languages, synchronous languages.
• Embedded distribution middleware, model maintenance, system of systems, time-predictable systems and hardware.
• Distributed computing and communication infrastructures: real-time communication, networked platforms, protocols, Internet QoS, peer-to-peer computing, sensor networks, VANETS and V2V and V2I communication, trusted and dependable systems.
• Algorithms for Real Time Analytics: clustering and classification approaches, stream processing algorithms, real time decision tree generation and update, real time machine learning, statistical approaches. Approaches related to stream correlation and sampling.
• System software: real-time kernels and OS, middleware support for ORC, QoS management, extensibility, synchronization, resource allocation, scheduling, fault tolerance, security.
• Real-time algorithms and infrastructure support for decentralized architectures including distributed ledgers with a focus on scalability and resilience.
• Applications: Medical devices, intelligent transportation systems, Industrial automation systems and Industry 4.0, Internet of Things and Smart Grids, Embedded systems (automotive, avionics, consumer electronics, building systems, sensors, etc), multimedia processing, RT Web-based applications.
• System evaluation: performance analysis, monitoring & timing, dependability, end-to- end QoS, overhead, fault detection and recovery time.
• Cyber-physical and cyber-social systems (e.g. social media analytics).
• Time-sensitive social dispersed computing.

计算机科学理论

Theoretical Computer Science

Algorithms and Discrete Mathematics – celebrating the silver jubilee of Indian Institute of Technology Guwahati

全文截稿: 2019-07-31

影响因子: 0.772

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：理论方法 - 4区

网址: http://www.journals.elsevier.com/theoretical-computer-science/

Indian Institute of Technology Guwahati (IIT Guwahati), the sixth member of the IIT fraternity, was established in 1994. Presently, it is an establish premier institute. On successful completion of 25 years, IIT Guwahati is celebrating its Silver Jubilee. On this occasion a special issue of TCS-A has been planned that will publish high quality papers describing original research of theoretical or practical significance on a range of topics in the area of Algorithms and Discrete Mathematics. The topics of interest include, but are not limited to all aspects of Algorithms and Data Structures, Graph Theory and Combinatorics, Combinatorial Optimization, Computational and Combinatorial Geometry and Stringology.

计算机体系结构,并行与分布式计算

Computers & Electrical Engineering

Special Section on Optimization algorithms for Industry 4.0

全文截稿: 2019-08-01

影响因子: 1.747

CCF分类: 无

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 3区

  • 小类 : 计算机：跨学科应用 - 4区

  • 小类 : 工程：电子与电气 - 4区

网址: http://www.journals.elsevier.com/computers-and-electrical-engineering/

Industry 4.0 is a term coined to signify the dramatic changes and revolution occurring in manufacturing process by leveraging the services of cyber-physical systems. The driving forces behind industry 4.0 revolution are big data analytics, simulation, robotics, Internet of Things (IoT), system integration both horizontally and vertically, Cloud and other forms of distributed computing paradigms, cyber security, augmented reality and additive manufacturing. Gone are the days where there was a stiff competition between companies in terms of the product manufactured. The trend has shifted in such a way that competing companies are measured or ranked based on how well they have embraced the above technologies into their manufacturing process and adapted to the evolving changes across these areas. In simple terms Industry 4.0 can be termed as computerization of Industry 3.0. Industry 4.0 provides a perfect platform in identifying business opportunities and identifying the key areas and features that may cater to these new and exciting opportunities.

Several aspects need to be considered while developing an optimized approach. It must also be noted that adapting to these technologies alone is not sufficient and by adapting to these technologies there should be a significant impact to the manufacturing process on a positive front. Most of these technologies are new and hence most of the approaches and algorithms used across these technologies are also naïve. In other words the mere adapting of these technologies into the manufacturing process alone will not yield better results, the focus should also be directed towards how these raw concepts, approaches and algorithms can be optimized to produce better results. Another aspect that needs to be considered during optimization is to have an eye on the futuristic evolutions and changes that might impact the current process. Also, the optimized algorithms should be aimed at providing robust, secure and stable and consistent results over a manufacturing period. Another aspect that needs to be contemplated is the scalability and portability of the algorithm in terms of features and volume of data that it can handle. The real challenge for several researchers is to enhance and optimize these existing approaches by considering all these aspects.

This special section provides a platform to share original ideas related to optimizing algorithms pertaining to several technologies that are driving forces for Industry 4.0. Also new ideas and approaches that enhance the performance of existing algorithms and any complexity reduction techniques which lead to performance enhancements can be shared.

Topics:

Topics of interest include:

New techniques to enhance Industry 4.0.

Smart manufacturing systems that promote Industry 4.0.

Intelligent systems for smart data analytics in Industry 4.0.

Data optimization leading to efficient manufacturing in Industry 4.0.

Optimized algorithms that promote distributed manufacturing in Industry 4.0.

Enhancements to privacy, security and trust in Industry 4.0 enablers.

Big data analytics and Industry 4.0.

Enhancement in Robotics and automation promoting Industry 4.0.

Optimized approaches that promote distributed computing in Industry 4.0.

Enhanced strategies and applications in Fog and Edge computing in Industry 4.0.

Enhanced IoT devices that promote Industry 4.0.

IoT based services and enhancements promoting Industry 4.0.

Sophisticated simulation models for real time applications promoting smart manufacturing.

Effective and efficient cyber physical systems that promote Industry 4.0.

Augmented reality based services in smart and distributed manufacturing.

Challenges and solutions in adopting Industry 4.0 across business.

Futuristic trends of Industry 4.0.

Designing and simulating successful manufacturing models promoting Industry 4.0.

数据库管理与信息检索

Information Processing & Management

Special Issue on "Novel techniques for managing and processing information in the Web, Mobile, and IoT technology era"

全文截稿: 2019-08-30

影响因子: 3.444

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：信息系统 - 3区

网址: http://www.journals.elsevier.com/information-processing-and-management/

The World Wide Web, once a single interconnection of static, physically distributed content passively accessed by human users through personal computers, is constantly evolving. During the explosion of Web-based social networks the Web evolved into an environment allowing millions of users worldwide to interact and collaborate in the creation of user-generated content within many virtual communities. In this line, Web 2.0 is the umbrella term used to encompass several developments which followed, namely social networking sites and social media sites (e.g., Facebook), blogs, wikis, folksonomies (e.g. Flickr), video sharing sites (e.g., YouTube), Web applications ("apps"), collaborative platforms, and mashup applications. Many technologies such as HTML 5, CSS3, AJAX and client-side scripting helped to bring these ideas into practice.

Moreover, the current Web can be seen as an evolutionary step from the Web 2.0 in that access to content is nowadays ubiquitous, and content itself is far more heavy and heterogeneous than ever. First, ubiquitous access has been mainly pushed by the inception of mobile computing and mobile devices; in fact reports show that by 2020 the number of mobile device users will be about 70% of the global population. Second, served and published Web content is not only those following traditional interchange formats (text, images, video) but also e.g. executable code/Web APIs (e.g. Mashape.com, ProgrammableWeb.com), from which new applications can be built and in turn published back to the Web. The recent notion of "Web of objects", which find its root in Web-accesible IoT applications, promotes the interconnection of hardware elements capable of producing huge amounts of sensor data.

Moreover, the role of Web application end users and Web developer/designers is nowadays somewhat blurry, due to modern Web technologies that greatly simplify the creation/deployment of rich Web sites and mobile applications that might consume Web-accesible services and data. In addition, the advent of Semantic Web technologies pave the way to the creation of intelligent applications, and thus the tandem human user-browser is no longer the only way to take advantage of Web content.

In this context, the huge and heterogeneous nature of today’s Web content, in addition to the different sources of clients exploiting it (regular users, developers, automated applications) calls for advanced information processing and management techniques to answer the following research questions: how to extract and learn valuable information from existing Web content? how can different Web sources be fused/aggregated to produce new, consistent information? How to ensure scalability in light of huge sources of Web data? In short, novel approaches and techniques are needed to address the increasing complexity of the Web that is coming and the applications therein. We solicit high-quality papers proposing solutions and approaches to cope with these problems.

计算机网络

Computer Communications

Special Issue on 5G Radio Access Network Design and Optimization

全文截稿: 2019-09-01

影响因子: 2.613

CCF分类: C类

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：信息系统 - 3区

  • 小类 : 工程：电子与电气 - 3区

  • 小类 : 电信学 - 3区

网址: http://www.journals.elsevier.com/computer-communications

5G mobile systems are expected to support highly dynamic traffic and stringent delay requirements. Pervasive deployment of a large number of low-power small base stations

(BSs) with possibly overlapped radiation ranges appears to be the most viable solution to meet the requirements. C-RAN is promised to serve in such a scenario by centralizing the baseband units (BBUs) of the BSs into a common BBU pool, while leaving the remote radio units (RRUs) geographically distributed over a wide area for providing radio transmission/reception functions. The centralization of the baseband processing functions shall provide remarkable benefits in terms of resource sharing and most importantly, a seamless inter-BBU collaboration for interference mitigation. The antennas, with all the radio-frequency functionalities and minimal local processing, are hosted at the RRUs, while modulation/demodulation and precoding/decoding are performed at the BBUs.

A tremendous amount of research works regarding the 5G C-RAN design, modelling, and optimization has been reported in the past a few years. However, there are still a number of open issues to be addressed, including the design of front-hauls, the C-RAN backbone interconnections, and the indoor distribution system, etc., which are crucial in supporting the rich and heterogeneous mobile services in the future 5G networks.

The SI is positioned to serving as a platform of gathering a number of researchers in the area of 5G C-RAN design and operation to present their the most state-of-the-art contributions to the related topics, which include but not limited to:

1. CPRI function split schemes and performance evaluation

2. C-RAN designs for emerging applications and service requirements (e.g., IoT, V2x, massive MIMO, and URLLC)

3. C-RAN designs for indoor distributed systems

4. C-RAN for supporting 5G indoor/outdoor positioning systems

5. Energy efficient design for C-RAN backbone

下载Call4Papers App，获取更多详细内容！