计算机类 | MSST 2019等国际会议信息6条

计算机体系结构,并行与分布式计算

MSST 2019

International Conference on Massive Storage Systems and Technology

全文截稿: 2019-01-07

开会时间: 2019-05-20

会议难度: ★★★★

CCF分类: B类

会议地点: Santa Clara, California, USA

网址：http://storageconference.us

MSST 2019, as is our tradition, will focus on distributed storage system technologies, including persistent memory, new memory technologies, long-term data retention (tape, optical disks...), solid state storage (flash, MRAM, RRAM...), software-defined storage, OS- and file-system technologies, cloud storage, big data, and data centers (private and public). The conference will focus on current challenges and future trends in storage technologies.  

MSST 2019 will include a day of tutorials, two days of invited papers, and two days of peer-reviewed research papers. The conference will be held, once again, on the beautiful campus of Santa Clara University, in the heart of Silicon Valley.

计算机综合与前沿

AICoB 2019

International Conference on Algorithms for Computational Biology

全文截稿: 2019-01-12

开会时间: 2019-05-28

会议难度: ★★

CCF分类: 无

会议地点: Berkeley, California, USA

网址：http://alcob2019.irdta.eu

AlCoB aims at promoting and displaying excellent research using string and graph algorithms and combinatorial optimization to deal with problems in biological sequence analysis, genome rearrangement, evolutionary trees, and structure prediction.

Previous events were held in Tarragona, Mexico City, Trujillo (Spain), Aveiro, and Hong Kong.

The conference will address several of the current challenges in computational biology by investigating algorithms aimed at:

1.- assembling sequence reads into a complete genome,
2.- identifying gene structures in the genome,
3.- recognizing regulatory motifs,
4.- aligning nucleotides and comparing genomes,
5.- reconstructing regulatory networks of genes, and
6.- inferring the evolutionary phylogeny of species.
Special focus will be put on methodology and significant room will be reserved to young scholars at the beginning of their career.

人工智能

LION 2019

Learning and Intelligent Optimization

全文截稿: 2019-01-13

开会时间: 2019-06-10

会议难度: ★★★

CCF分类: 无

会议地点: Chania, Greece

网址：http://www.lion13.pem.tuc.gr

The large variety of heuristic algorithms for hard optimization problems raises numerous interesting and challenging issues. Practitioners are confronted with the burden of selecting the most appropriate method, in many cases through an expensive algorithm configuration and parameter tuning process, and subject to a steep learning curve. Scientists seek theoretical insights and demand a sound experimental methodology for evaluating algorithms and assessing strengths and weaknesses. A necessary prerequisite for this effort is a clear separation between the algorithm and the experimenter, who, in too many cases, is "in the loop" as a crucial intelligent learning component. Both issues are related to designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained from different runs or during a single run can improve the algorithm development and design process and simplify the applications of high-performance optimization methods. Combinations of algorithms can further improve the robustness and performance of the individual components provided that sufficient knowledge of the relationship between problem instance characteristics and algorithm performance is obtained.

This meeting, which continues the successful series of LION events, is aimed at exploring the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

The main purpose of the event is to bring together experts from these areas to discuss new ideas and methods, challenges and opportunities in various application areas, general trends and specific developments.

信息安全及密码学

BSidesBud 2019

BSides Budapest IT Security Conference

全文截稿: 2019-01-15

开会时间: 2019-03-28

会议难度: ★★

CCF分类: 无

会议地点: Budapest, Hungary

网址：https://2019.bsidesbud.com/call-for-paper/

BSides Budapest presentations should be focused on topics that are of interest to IT security and technology professionals who are paying attention to current trends and issues. Presentations dealing with new technologies are always encouraged. Some examples include (but not limited to):

Information technology
Network security
Mobile security
Web Application Security
Vulnerability research and zero days
Penetration testing and security assessment
Forensics
Malware analysis and new trends in malicious codes
Cryptography
Car/Vehicles hacking
Virtualization and cloud computing
Innovative attack / defense strategies
Embedded device security / Internet of things
Hardware hacking
Phone phreaking
Robotics

计算机网络

DDINS 2019

International Workshop on Data Driven Intelligence for Networks and Systems

全文截稿: 2019-01-25

开会时间: 2019-05-20

会议难度: ★★

CCF分类: 无

会议地点: Shanghai, China

网址：http://icc2019.ieee-icc.org/workshop/w15-first-international-workshop-data-driven-intelligence-networks-and-systems-ddins

Network traffic is expected to grow exponentially in the next decade thanks to the advances in smart devices, Internet of Things (IoT) and cloud computing. Not only the volume of the traffic is increasing, the characteristics of the traffic are also becoming more diverse. While many advanced communication technologies have been proposed to push up the network capacity, increasing capacity alone is inadequate to deal with the traffic diversity. To properly manage traffic diversity, different but coherent strategies are needed at different protocol layers, and this often results in complex designs in the network which are difficult to deploy and manage. The recent advancement in artificial intelligence (AI) technology has provided a promising approach to deal with complex problems faced in the network design and operation.

The trend towards highly integrated networks with diverse underlying access technologies to support simultaneously multiple vertical industries has demanded complex operation in the network. This represents a great challenge in network design. This Workshop focuses on applying AI technologies to deal with the design complexity in wireless networks, particularly the machine learning techniques that are based on empirical or simulated data. Topics that may apply data driven intelligence to manage the complexity of a smart wireless network include, but not limited to:

Quality of Service (QoS) and Quality of Experience (QoE) support
Radio resource allocation and transmission scheduling
Medium access control design
Data centers and cloud systems
Radio access technology selection
Spectrum sharing in intra- and inter-tier HetNets
Traffic load estimation and resource reservation
User mobility prediction and handover support
Network fault detection and self-healing
Network self-configuration and self-organization
Intrusion detection and self-protection

信息安全及密码学

WiSec 2019

ACM Conference on Security and Privacy in Wireless and Mobile Networks

摘要截稿: 2019-01-18

全文截稿: 2019-01-25

开会时间: 2019-05-15

会议难度: ★★★

CCF分类: C类

会议地点: Miami, FL, USA

网址：https://wisec19.fiu.edu/

ACM WiSec is the leading ACM and SIGSAC conference dedicated to all aspects of security and privacy in wireless and mobile networks and their applications. In addition to the traditional ACM WiSec topics of physical, link, and network layer security, we welcome papers focusing on the security and privacy of mobile software platforms, usable security and privacy, biometrics, cryptography, and the increasingly diverse range of mobile or wireless applications such as Internet of Things, and Cyber-Physical Systems. The conference welcomes both theoretical as well as systems contributions.

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