Scalable storage architectures, archival storage, storage virtualization, emerging storage devices and techniques Performance benchmarking, resource management, and workload studies from production systems including both traditional HPC and data-intensive workloads. Programmability, APIs, and fault tolerance of storage systems Parallel file systems, metadata management, and complex data management, object and key-value storage, and other emerging data storage/retrieval techniques Programming models and frameworks for data intensive computing including extensions to traditional and nontraditional programming models, asynchronous multi-task programming models, or to data intensive programming models Techniques for data integrity, availability and reliability especially Productivity tools for data intensive computing, data mining and knowledge discovery Application or optimization of emerging “big data” frameworks towards scientific computing and analysis Techniques and architectures to enable cloud and container-based models for scientific computing and analysis Techniques for integrating compute into a complex memory and storage hierarchy facilitating in situ and in transit data processing Data filtering/compressing/reduction techniques that maintain sufficient scientific validity for large scale compute-intensive workloads Tools and techniques for managing data movement among compute and data intensive components both solely within the computational infrastructure as well as incorporating the memory/storage hierarchy
计算机综合与前沿
DAPP 2020
ACM SAC 2020 Decentralized Applications (DAPP) with Blockchain, DLT and Crypto-Currencies
The 35th ACM Symposium on Applied Computing (SAC) will happen from March 30th to April 3rd 2020 in Brno, Czech Republic. This is the Website of its track focusing on Decentralized Applications (DAPP) with Blockchain, DLT and Crypto-Currencies. The proceedings of the accepted papers will be published in the official ACM digital library! The additional Student Research Competition is sponsored by Microsoft Research.
计算机科学与技术
SICBS 2019
International Conference on Security with Intelligent Computing and Big-data Services
全文截稿: 2019-10-01
开会时间: 2019-12-04
会议难度: ★★
CCF分类: 无
会议地点: New Taipei City, Taiwan, China
网址:http://www.sicbs2019.info
SICBS’19 will provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Security with Intelligent Computing and Big-data Services. It aims at strengthening the international academic cooperation and communications, and exchanging research ideas. All accepted papers in SICBS’19 will be published by Springer in the series “Advances in Intelligent Systems and Computing” (AISC), (pending) which is indexed by EI Compendex. Furthermore, extended versions of selected papers will be published in the following SCI-indexed Journals and EI-indexed Journals:
International Journal of Network Security (EI) Journal of Information Hiding and Multimedia Signal Processing (EI) Journal of Supercomputing (SCI) Journal of internet Technology (SCIE) Journal of Information, Technology, and Society
计算机科学与技术
EvoCop 2020
European Conference on Evolutionary Computation in Combinatorial Optimisation
全文截稿: 2019-11-01
开会时间: 2020-04-15
会议难度: ★★
CCF分类: 无
会议地点: Seville, Spain
网址:http://www.evostar.org/2020/cfp_evocop.php
Topics of interest include, but are not limited to: Applications of metaheuristics to combinatorial optimisation problems Representation techniques Practical solution of NP-hard problems Neighbourhoods and efficient algorithms for searching them Variation operators for stochastic search methods Theoretical developments Constraint-handling techniques Parallelisation and grid computing Search space and landscape analyses Comparisons between different (also exact) methods Heuristics Genetic programming and Genetic algorithms Tabu search, iterated local search and variable neighbourhood search Ant colony optimisation Artificial immune systems Scatter search Particle swarm optimisation Memetic algorithms Hybrid methods and hybridisation techniques Matheuristics (hybrids of exact and heuristic methods) Hyper-heuristics and autonomous search Automatic algorithm configuration and design Metaheuristics and machine learning Surrogate-model-based methods Estimation of distribution algorithms String processing Scheduling and timetabling Network design Vehicle routing Graph problems Satisfiability Packing and cutting problems Energy optimisation problems Multi-objective optimisation Search-based software engineering
软件工程
PLDI 2020
ACM SIGPLAN conference on Programming Language Design and Implementation
全文截稿: 2019-11-22
开会时间: 2020-06-15
会议难度: ★★★★★
CCF分类: A类
会议地点: London, UK
网址:https://pldi20.sigplan.org/home
Welcome to the home page of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2020)!
PLDI is the premier forum in the field of programming languages and programming systems research, covering the areas of design, implementation, theory, applications, and performance.
PLDI 2020 will be held at the Royal Geographical Society in London, June 15-20. We are excited that PLDI will be co-located with HOPL-IV, the Fourth ACM SIGPLAN History of Programming Languages Conference, which will take place at the same venue during June 14-16.
The main PLDI conference will be Wednesday, 17 June through Friday, 19 June. As ever, PLDI will be co-located with a host of exciting workshops and tutorials, which will be announced in due course and which will take place on Monday, 15 June, Tuesday, 16 June, and Saturday, 20 June.
数据库管理与信息检索
ICCCBDA 2020
International Conference on Cloud Computing and Big Data Analytics
全文截稿: 2019-11-25
开会时间: 2020-04-10
会议难度: ★
CCF分类: 无
会议地点: Chengdu, China
网址:http://www.icccbd.com/
ICCCBDA 2020 is one of the leading international conferences for presenting novel and fundamental advances in the fields of Cloud Computing Big Data Analytics. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Cloud Computing and Big Data Analytics related techniques.
Cloud computing and Big Data Analytics is a very hot topic in recent years, as well as a very important technology. By the advent of Big Data, cloud computing as the representative of technological innovation, it will set off a wave of reform in many areas, and will gradually create more value for human.