计算机类 | CCF推荐期刊约稿信息6条

软件工程

Journal of Systems and Software

Special Issue on Software Variability in Dynamic Environments

全文截稿: 2018-03-30

影响因子: 2.444

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：软件工程 - 2区

  • 小类 : 计算机：理论方法 - 3区

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

Software variability management is a major challenge for modeling and building modern system families. An important precondition for the effective and efficient management of variability is that it must be explicitly modelled. With variability modelling coming of age, it is important to consider also non-functional properties of variable software systems. Nowadays, the role of context information is more and more important for changing environments where many smart devices (e.g., mobile phones IoT devices, wireless sensors, etc.) exploit context and location awareness properties to deal with the unforeseen events. In this light, critical systems, such as robots or smart vehicles, require advanced runtime reconfiguration and self-adaptive capabilities to deal with unpredictable situations and hazards.

In other cases, systems must be reconfigured and re-deployed at post-deployment time reducing the burden of human operation, and the variability of different configurable options must be managed with minimal human intervention. Emerging approaches such as Dynamic Software Product Lines attempt to cater the need for managing the system options dynamically at post-deployment time as an evolution of more traditional mechanisms like the MAPE-K loop. In addition, other timely problems such as mining and reverse engineering variability models from existing families of similar hardware-software products or the identification of security concerns in embedded systems that need to deal with different scenarios (e.g., security in smart cars software) are important challenges for modern software variability approaches. Additionally, the complexity and possible impact of dynamic environments and contexts in DSPLs, goes far beyond existing approaches and tools for mastering variability modeling, thus requiring novel solutions such as deep learning techniques

We invite to this special issue high-quality contributions with innovative and significant findings and experiences in the field of software variability in dynamic environments. We accept as submissions original and previously unpublished papers as well as extended versions of papers presented at the 12th International Workshop on Variability Modelling of Software-Intensive Systems (VAMOS 2018).

In order to address new challenges in the development of modern variability modeling and management approaches, this Special Issue focuses on solutions to model and implement software variability solutions in dynamic environments that demand more efficient solutions able to manage the diversity of system options, many of them used at runtime. You are invited to submit papers covering the different aspects on software variability management, but not limited to:

- Quality properties in dynamic variability models

- Managing runtime variability at post-deployment time

- Software variability and approaches to represent and manage context knowledge

- Managing variability at post-deployment time

- Refactoring and evolution of variable software systems

- Variability in complex systems of systems using sensors

- Variability constraint checking at runtime

- Multiple binding modes for critical systems

- Reasoning about context changes and system options at runtime

- Adding IoT devices and connecting to services dynamically (e.g, smart cities, smart cars)

- Deep learning" for (D)SPL engineering and context-aware adaptivity

- Reverse engineering and variability extraction/mining approaches

- Security concerns in (D)SPL engineering (e.g., in automotive software)

计算机体系结构,并行与分布式计算

Integration, the VLSI Journal

Integration, the VLSI Journal – Elsevier Special Issue of Asia and South Pacific Design Automation Conference 2018

全文截稿: 2018-04-15

影响因子: 1.0

CCF分类: C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 : 工程：电子与电气 - 4区

网址: https://www.journals.elsevier.com/integration

Scope:The Asia and South Pacific Design Automation Conference (ASP-DAC) is the major conference on design automation in Asian and South Pacific regions. We welcome contributions from all authors of ASP-DAC 2018. The topics of interest include (but are not limited to):

1. System-Level Modeling and Design Methodology:

2. Embedded System Architectures and Design:

3. On-chip Communication and Networks-on-Chip:

4. Embedded Software:

5. Device/Circuit-Level Modeling, Simulation and Verification:

6. Analog, RF and Mixed Signal:

7. Cross-layer Power Analysis, Low Power Design, and Thermal Management:

8. Logic/Behavioral/High-Level Synthesis and Optimization:

9. Physical Design:

10. Design for Manufacturability and Reliability:

11. Timing and Signal/Power Integrity:

12. Test and Design for Testability:

13. Security and Fault-Tolerant System:

14. Emerging Technology:

15. Emerging Application:

计算机体系结构,并行与分布式计算

Future Generation Computer Systems

Special Issue on the Economics of Computing Services

全文截稿: 2018-04-30

影响因子: 3.997

CCF分类: C类

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 计算机：理论方法 - 2区

网址: http://www.journals.elsevier.com/future-generation-computer-systems/

Advances in distributed systems technology have allowed for the provisioning of IT services on an unprecedented scale and with increasing flexibility. As the global market for infrastructure, platforms and software services is continuously evolving supporting new application domains, the need to understand and deal with the new implications and multitude of new challenges is quickly growing. Some well-timed such issues are related to the energy consumption that relate to the distributed systems’ operation and their increasingly contributing role to the network neutrality.

This Special Issue aims to solicit contributions that are interdisciplinary, combining business and economic aspects with engineering and computer-science related themes. Contributions to this Special Issue can include extensions to existing technologies, successful deployment of technologies, economic analyses, analyses of technology adoptions, and theoretical models. We welcome papers that combine micro- and macro-economic principles with resource management strategies in computer science and engineering. Case studies, which demonstrate practical use of economic strategies, benefits and limitations, are particularly encouraged. The purpose of this Issue is to gather original work and build a strong multidisciplinary community in this increasingly important area of a future information and knowledge economy.

The issue will focus on cloud, software, and services technologies and solutions related (but not limited) to:

- Market mechanisms, auctions models, and bidding languages

- Decision support for service selection and procurement

- Revenue and energy-aware resource management

- Pricing schemes, service level agreements (SLAs), and revenue models

- Blockchain applications and economy

- Open source ecosystems

- Economically efficient resource allocation, scheduling, and capacity planning

- Automated trading and bidding support tools

- Incentive design, strategic behavior & game theory

- Development of sustainable infrastructures

- Desktop grids, volunteer computing and crowd-sourcing

- Service value chains and value networks

- Trust, reputation, security, and risk management

- Economics of big data, software, services, service composition, and selection

- Community networks, social network systems, and resource sharing models

- Techno-economic analysis

- Economic modeling of networks, systems, software, and data

计算机网络

Journal of Network and Computer Applications

Towards 5G and beyond for the Internet of UAVs, Vehicles, Smartphones, Sensors and Smart Objects

全文截稿: 2018-04-30

影响因子: 3.5

CCF分类: C类

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 计算机：硬件 - 2区

  • 小类 : 计算机：跨学科应用 - 2区

  • 小类 : 计算机：软件工程 - 1区

网址: http://www.journals.elsevier.com/journal-of-network-and-computer-applications

Smart homes, smart cities, intelligent transportation systems, mobile crowdsensing are only some of the concepts that the latest technological advances made possible to offer. This perspective has occurred because Internet has become increasingly ubiquitous, allowing connecting anytime and everywhere not only people but also the objects of the so-called cyber-physical world. The shared vision of such systems is usually associated with one single concept, the Internet of Things (IoT). "Things" can be small sensors and actuators or objects like home appliances and smartphones, but increasingly vehicles and Unmanned Aerial Vehicles (UAVs). As a consequence, the IoT has the potential to revolutionize pervasive computing and its applications as it enables detailed characterization of the physical environment, as well as a rich set of interactions with the physical world. Unavoidably, wireless communications are on the basis of the IoT. Depending on the scenario, they must be designed to address some or all of different and challenging objectives that include extremely low to no power consumption, high to massive throughput, extreme reliability, minimal to negligible latency, ubiquitous coverage under all circumstances. These challenges are being addressed in the design of the future 5G and beyond networks, but still many issues remain unsolved. This special issue solicits the submission of high-quality and unpublished papers that aim to solve open technical problems and challenges typical of wireless communications in the Internet of Things, including networks of Sensors, Smartphones, Vehicles, UAVs and all Smart Objects that are around us. Both theoretical and experimental studies for typical IoT scenarios are encouraged. Furthermore, also high-quality review and survey papers are welcomed.

Topics of interest include (but are not limited to):

· Communication architectures, technologies, and applications for IoT systems towards and beyond 5G networks

· Energy-efficient communications and management for the next generation IoT

· Wireless technologies for smart homes, smart cities, and ITS

· Evolution of DSRC and LTE-V2V for connected vehicles

· Wireless communications for the Internet of UAVs

· Direct communications in IoT, including D2D, M2M, and V2V

· Standards and protocols for ultra-dense and highly mobile IoT networks

· Privacy, Security and Trust for IoT

· Beyond 5G wireless networks and architectures

· Experimental results, prototypes and testbeds in IoT towards 5G and beyond

计算机网络

IEEE Journal on Selected Areas in Communications

Series on Network Softwarization & Enablers 2nd Edition

全文截稿: 2018-05-01

影响因子: 8.085

CCF分类: A类

中科院JCR分区:

  • 大类 : 工程技术 - 1区

  • 小类 : 工程：电子与电气 - 1区

  • 小类 : 电信学 - 1区

网址: http://www.comsoc.org/jsac

The architectures of mobile networks (both core and radio access networks), fixed networks, and service delivery platforms are subject to an unprecedented techno-economic transformation. This trend, often referred to as Network Softwarization within an ever-growing community of researchers in both academia and industry, will yield significant benefits in terms of reducing expenditure and operational costs of next generation (5G and beyond) networks.

The key enablers are Network Function Virtualization, Software-Defined Networking, and Cloud, Fog, and (mobile/multi-access) Edge Computing. These technologies are still at their infancy. They introduce significant technical challenges that the research community is tackling. When they are integrated to enable fully programmable, flexible, service/vertical-tailored, and automated end-to-end networks (i.e., network slices), the challenges become more significant. The technical challenges pertain to the overall process, network slice instantiation and maintenance, slicing over multi-domains (i.e., both administrative and technology), orchestration and allocation of shared and isolated resources (i.e., computing and storage capacity, virtualized network functions, networking resources, and physical radio resources), and communication interfaces amongst different network slices along with supporting algorithms and mechanisms. The concept of network softwarization is expected to serve diverse services and verticals, including, but not limited to, Tactile Internet of Things, Pervasive Robotics, Self-driving, Immersive communications, Industry 4.0, and Augmented Reality.

We invite high-quality submissions to the IEEE JSAC series on network softwarization and enablers. The first issue of the series will be published in April 2018, followed by a number of other issues to be scheduled in the period of 2018 – 2020. We are seeking papers which have not been published before and are not currently under review by any journal. The scope of this series is papers in the general arena of network softwarization, specifically on, but not limited to, the following topics:

- RAN slicing

- Mobile core networks and their slicing

- Fixed network slicing

- Slice programmability, modeling, composition algorithms and deployment

- System/service orchestration and management

- Network function decomposition

- Network function virtualization

- Service function chaining

- Resource sharing, isolation, and federation

- Software defined networking

- Cloud computing technologies

- Virtualization techniques

- (mobile/multi-access) edge and fog computing

- MEC-, SDN-, NFV-based network service enhancement

- Service, slice, and infrastructure monitoring

- Performance, interoperability, and scalability issues

- Security, trust, and privacy issues in virtualized environments

- Best practices from experimental testbeds, trials and deployment

- Verticals, new value chains and business models

图形学与多媒体

Computer-Aided Design

Special issue on Computer-Aided Design on Advances in Generative Design

全文截稿: 2018-05-15

影响因子: 2.444

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：软件工程 - 2区

网址: http://www.journals.elsevier.com/computer-aided-design

Recent advances in manufacturing and material science enable the fabrication of complex digital geometric models that are difficult or impossible to produce by using conventional manufacturing technologies. The unprecedented manufacturing flexibility offers opportunities and challenges for computer-aided design of such digital models. Even for the most experienced designers, their intuition might be limited when manually exploring such unprecedented large design space. To empower designers, computer algorithms are being developed to generate desired designs under given design objectives and constraints. Such an algorithm-driven design process is now known as generative design. Example approaches range from shape and topology optimization to shape grammar based design, and to machine learning based designs, among others. The flexibilities in generative design and additive manufacturing are increasingly being combined to produce disruptive high-performance functional structures and digital materials with applications in aerospace, automotive, medical implants, soft robots, customized consumer products, and beyond. This vibrant research area is receiving growing attention in multiple disciplines, such as geometric modelling, graphics, numerical optimization, and computational mechanics.

The goal of this special issue is to bring together researchers from relevant fields into a common forum, to share cutting-edge research on generative design, and to push forward new design methods for advanced manufacturing. The joint efforts will accelerate the transition of generative design from the stage of conceptual design to final design, and the movement of additive manufacturing from prototyping to industrial production. The main topics include, but are not limited to the following:

- Shape and topology optimization

- Design through machine learning

- Big-data driven designs

- Genetic algorithms based design

- Design through shape grammars

- Generative design of digital material

- Generative design of lattice and cellular structures

- Generative design under manufacturability constraints

- Generative design considering multi-physics

- Shape modelling and analysis for generative design

- Innovative applications of generative design

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