计算机类 | 高引SCI期刊约稿信息7条

计算机科学与技术

Microprocessors and Microsystems

Special Issue on Quantum Computer Architecture: a full-stack overview

全文截稿: 2018-05-04

影响因子: 1.025

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 : 计算机：理论方法 - 4区

  • 小类 : 工程：电子与电气 - 4区

网址: https://www.journals.elsevier.com/microprocessors-and-microsystems

Quantum computers hold the promise for solving efficiently important problems in computational sciences, which are intractable on classical computers today, by exploiting quantum phenomena such are superposition and entanglement. Up to now, quantum computing has been a field mostly dominated by physicists. They are working on the design and fabrication of the basic units of any quantum system, called quantum bits or qubits. However, building a quantum computer involves more than producing ‘good’ qubits. It requires the development of an entire quantum computer architecture and then contributions from different fields such as formal languages, compilers, operating systems, routing and interconnects, and computer architecture.

This Special Issue on Quantum Computer Architecture is devoted to the journal versions of the talks from the First International Workshop on Quantum Computer Architecture, held in Delft, The Netherlands, on November 30, 2017. This special issue also invites researchers to submit a paper on the following main topics:

- Quantum applications

- System software for quantum computer: operating systems,

- programming languages and compilers

- Scalable quantum simulator

- Quantum (micro-)architecture and quantum instruction set architecture

- Fault-tolerant quantum computation

- Scalable quantum computer architecture

- Mapping and routing of quantum circuits

计算机科学与技术

Physical Communication

Special issue on The Advances of Fronthaul and Backhaul Communication for 5G and Beyond (Submission due on May 15, 2018)

全文截稿: 2018-05-15

影响因子: 1.583

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 工程：电子与电气 - 4区

  • 小类 : 电信学 - 4区

网址: https://www.journals.elsevier.com/physical-communication

The next generation wireless networks (NGWNs) are envisioned to adopt a wide variety of novel concepts and paradigm shifts that will play a major role in the deployment “5G and Beyond” and “Wireless 2.0” technologies. Massive Internet protocol (IP)–based connectivity including all of the cyber–physical systems equipped with wireless transmission and reception (a.k.a. Internet of everything (IoE)), ubiquitous and superior quality of experience (QoE), improved security, extremely–low latency, environment–friendly operation, extended coverage, capacity, and data rate with enhanced efficiency are only a few of the prominent characteristics of the NGWNs among many others. In parallel with these characteristics, the services to be provided widen in such a way that augmented reality, online gaming with extended dimensions, improved manufacturing processes, precision farming, fully autonomous transportation systems and many other applications are expected to be developed based on the envisioned capabilities of the NGWNs. It is obvious that such ambitious anticipations come at the expense of strict and very demanding technical requirements such as a high–degree of softwarization, extremely–flexible architectures, seamless operations across ultra–dense heterogeneous networks with backward compatibility, optimized network access with sub–millisecond latencies, cross–layer adaptation and harmonization, high–degree of sustainability and reliability, increased security and extended privacy.

Even though each and every requirement item listed above constitutes a standalone and challenging research problem, ultra–dense heterogeneous networks with backward compatibility deserve a special attention since NGWNs must coexist with old as well as recently emerging technologies. Considering the cost of operation including deployment, maintenance, and optimization, an efficient provisioning of fronthaul/backhaul communication systems and modules is required.

In this special issue, researchers from academia and engineers from industry are invited to contribute with their solutions to challenging problems raised by backhaul/fronthaul networking and communications for NGWNs. It is believed that technical contributions in this field of research pave the way for “5G and Beyond” and “Wireless 2.0” by expediting the convergence of already existing networks and emerging ones. The scope of the special issue includes and is not limited to the following topics:

- Analysis of coexistence of multiple heterogeneous networks (cellular, WiFi, WiGig, etc.), associated problems and solutions;

- Investigation of the concurrence of different cell sizes (macro, micro, pico, and femto) present in the same physical region;

- Exploration of multiple competitive high–data rate physical layer technologies such as free–space optics, visible light, terahertz, hybrid radio frequency (RF) communications;

- Incorporation of networked flying platforms such as drones, balloons, unmanned air vehicles, and other high–altitude platforms into already existing infrastructures;

- Best practices from the industrial perspective and relevant challenges for fronthaul/backhaul communications in heterogeneous networks;

- Evaluation of security and privacy issues pertaining to fronthaul/backhaul communications links under constraints such as ultra–low latency and energy efficiency.

Additional research contributions promoting advances in the development of fronthaul and backhaul communication systems for 5G and beyond networks are welcome.

计算机体系结构,并行与分布式计算

Journal of Parallel and Distributed Computing

Special Issue on Advanced Interconnection Network Architectures for Supercomputers and Data-Centers (HiPINEB 2018)

全文截稿: 2018-05-30

影响因子: 1.93

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：理论方法 - 3区

网址: http://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing/

Best papers among those selected for HiPINEB 2018 will be invited to submit a paper to a Journal Special Issue on the Elsevier's Journal of Parallel and Distributed Computing (JPDC) with impact factor: 1.930 (JCR 2016). In addition, we also encourage to submit a paper to this special issue to all researchers and professionals, both from industry and academia, working in the area of interconnection networks for scalable HPC systems and Datacenters, and especially those involved in Exascale performance and Big-Data.

The list of topics covered by this Special Issue includes, but is not limited to, the following:

* Interconnect architectures and network technologies for high-speed, low-latency interconnects.

* Scalable network topologies, suitable for interconnecting a huge number of nodes.

* Power saving policies in the interconnect devices and network infrastructure, both at software and hardware level.

* Emerging ideas, work-in-progress and early, high-impact achievements.

* Good practices in the configuration of the network control software.

* Network communication protocols: MPI, RDMA, Hadoop, etc.

* APIs and support for programming models.

* Routing algorithms.

* Quality of Service (QoS).

* Reliability and Fault tolerance.

* Load balancing and traffic scheduling.

* Network Virtualization.

* Congestion Management.

* Applications and Traffic characterization.

* Modeling and simulation tools.

* Performance Evaluation.

计算机体系结构,并行与分布式计算

Computers & Electrical Engineering

Special Issue on Innovative Technologies for Micro-grid and Smart-grid Systems

全文截稿: 2018-05-31

影响因子: 1.57

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：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/

In recent years the world has witnessed a rapid growth in demand for electrical energy, resulting in serious energy crises having direct impact on economics, society and development of any country. The predominant reliance on fossil fuel-based electrical energy use is a direct cause of global warming. Therefore, promotion of the use of renewable energy sources, for meeting electrical energy demand, is an important strategy in order to enhance the energy security of any country. In this connection, wind and solar-based electrical power generation have gained the attention of researchers worldwide, thus enabling high penetration of renewable sources in the main electrical grid. Power generation from these renewable resources is intermittent because of their dependence on environmental conditions. As a result, fluctuation of power generation from solar and wind systems has a direct impact on the voltage level, supply frequency, and waveform, and hence on the quality and quantity of the power supplied to the interconnected grid systems. The above scenario calls for energy resources integration through smart-grid technologies involving smart control and instrumentation, and information and communication technologies.

The aim of this special issue is to provide a platform to share up-to-date scientific achievements in the core as well as related fields. Authors are invited to submit outstanding and original unpublished research work focused on the latest findings in “Innovative Technologies for Micro-grid and Smart-grid Systems”.

Topics:

The topics of interest are limited to:

- Coordinated planning and operation of distribution systems

- Distribution automation and SCADA

- Integration of renewable and distributed generation

- Synchronized operation of power grid, DER and battery

- Load management systems and substation automation

- Advanced metering infrastructure (AMI) and smart metering

- Load forecasting and probabilistic load modeling

- Artificial intelligence in power and energy optimization

- Integrated energy and communication system architecture

- Distributed intelligent infrastructure

- Distributed energy storage

- Protection of active distribution grid

- Intelligent control and instrumentation

- Vehicle-to-Grid (V2G) technology

计算机科学与技术

Simulation Modelling Practice and Theory

Call for Papers: Special Issue on Modeling and Simulation of Cloud Computing and Big Data

全文截稿: 2018-05-31

影响因子: 1.954

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：跨学科应用 - 3区

  • 小类 : 计算机：软件工程 - 3区

网址: https://www.journals.elsevier.com/simulation-modelling-practice-and-theory

Several years now cloud computing has been widely used by the scientific community and industry as users can benefit of the best computing infrastructures at low costs. Cloud computing’s adoption by enterprises is increasing, however there are critical issues which require attention, such as security and trust, to ensure data integrity and confidentiality.

There are important issues that must be addressed in cloud computing, such as resource allocation and scheduling, performance, energy conservation, reliability, protection of sensitive data, cost, availability, quality of service. Effective management of cloud resources is important to use effectively the power of these systems and achieve high system performance.

Recently, the term big data appears widely in science, business, biology, finance, etc. There are many big data applications and services, e.g. real-time systems monitoring, big healthcare data analytics, financial market activity monitoring. Therefore, appropriate systems and algorithms are required to deal efficiently with Big Data.

The scope of this Special Issue is to present state-of-the-art research covering a variety of concepts on Cloud Computing and Big Data, particularly in the process of modelling, simulation and performance evaluation of these technologies.

Papers for the Special Issue must provide a substantial novel contribution, and authors must carefully situate their work with regard to the relevant scientific literature. They must clearly address research issues ofCloud ComputingandBig Dataand show the role of modelling and simulation in this research area.

Topics of interest include, but are not limited to:

- Cloud and Big Data Systems modelling, simulation and performance evaluation

- Cloud Applications Performance

- Hybrid Clouds

- HPC in the Cloud

- Energy aware Clouds

- Resource allocation and scheduling

- Edge Cloud data management

- Big Data management in IoT

- Big Data analytics

- Big Data as a Service

- Big Data architectures for large-scale applications

- Big data integrity and confidentiality

- Big Data in business performance management

- Big Data privacy and security

计算机体系结构,并行与分布式计算

Future Generation Computer Systems

Tactile Internet: Technologies, Test Platforms, Trials, and Applications

全文截稿: 2018-06-01

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/

Until 4G services, high throughput even in cell edge areas and seamless connectivity are considered as key technical requirements. However, 5G services focus on the enhancement of end users’ experience instead of throughput itself. That is, the end users’ perspectives are more emphasized than network service providers’ technical aspects.

With 5G wireless networks, users can experience hologram contents or 3D high quality multimedia services based on virtual reality (VR) and augmented reality (AR) and mixed reality (MR) technologies. Low latency communication networks as well as ultra-high throughput is definitely necessary for users to experience realistic interaction with diverse interactive real-time multimedia services. Accordingly, Tactile Internet, i.e., the Internet with the characteristic of low delay for enabling the transmission of tactile information, has attracted attention as one of the core functions of 5G mobile communications. The tolerable delay-time for Tactile Internet has been set as 1 ms, so that user may not have an unnatural feeling when receiving tactile information through the Internet, since tactile sense is most sensitive to delay-time among the 5 human senses. The minimization of delay-time between communication systems to less than a few milliseconds will improve the communication quality felt by end-users. Intelligent transportation systems with autonomous vehicles and robot applications for smart industry and medical areas require such low latency in the context of Tactile Internet. In 3GPP to develop IMT-2020 standards for 5G includes the ultra-reliable low-latency communications (URLLC) as one of key technical aspects of 5G.

Therefore, this special issue invites research papers to share latest research insights and present emerging results on the Tactile Internet and/or URLLC. Topics of interest for this special issue include, but are not limited to the following.

1. Networking architecture and technologies

- Mobile Edge computing

- Network virtualization and slicing

- Cloud and Fog radio access networks (C-RAN, F-RAN)

2. Wireless technologies for Tactile Internet/URLLC

- Low-latency protocol design

- New Physical layer techniques

- Fronthaul/Backhaul design

- Radio Resource management

3. Test platforms, trials and applications

- Tactile Internet/UCLLC use-cases and technical requirements

- Networked robots with Tactile Internet/URLLC

- Intelligent transportation with Tactile Internet/URLLC

- Prototypes, test-beds, and demos for Tactile Internet

计算机科学与技术

Swarm and Evolutionary Computation

Special Issue on “Benchmarking Multi and Many Objective Evolutionary Algorithms on Challenging Test Problems”

全文截稿: 2018-06-01

影响因子: 3.893

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 计算机：人工智能 - 2区

  • 小类 : 计算机：理论方法 - 2区

网址: https://www.journals.elsevier.com/swarm-and-evolutionary-computation

Multi-objective optimization problems (MOPs) are commonly encountered in real-world applications. Multi-objective evolutionary algorithms (MOEAs) are effective in solving MOPs with a few objectives. In recent years, it was observed that MOEAs face difficulties in solving MOPs with four or more objectives. These problems are known as Many-objective Optimization Problems (MaOPs). Challenges faced by population-based algorithms when solving MaOPs include the inability of dominance based MOEAs to converge to the Pareto front with good diversity, high computational complexity in the computation of performance indicators, and the difficulties in decision making, visualization, and understanding the relationships between objectives and articulated preferences. To tackle these issues, numerous many objective evolutionary algorithms (MaOEAs) have been developed and evaluated on standard benchmark problems.

The objective of this special issue is to evaluate MOEAs as well as the recently developed MaOEAs on newly designed challenging MaOPs presented in the following technical report:

Hui Li, Kalyanmoy Deb, Qingfu Zhang and P N Suganthan, “Challenging Novel Many and Multi-Objective Bound Constrained Benchmark Problems,”Technical Report, 2017. (TR updated on 11th Jan 2018. Codes updated on 5th Jan 2018. You can do test runs and give us feedback, if you find any problem)

It is expected that to solve these challenging problems effectively, the state of the art algorithms will have to be improved. Hence, while including the novel problems also in their evaluation studies, researchers are invited to present their original works on the following multi and many objective optimization related issues (but not limited to):

Algorithm design issues such as selection rules, reproduction, mating restriction, and so on.

- Performance indicators

- Objective reduction

- Visualization techniques

- Preference Articulation

- Decision making methods

- Hybridized algorithms

- Development of further challenging Benchmark problems

- Many-objective real-world optimization problems

- Model learning

- Estimating knee, nadir points

- Constraint handling methods

- EAs for MCDM

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