CCF推荐 | 高难度国际会议信息6条

图形学与多媒体

DCC 2020

Data Compression Conference

全文截稿: 2019-11-01

开会时间: 2020-03-24

会议难度: ★★★★

CCF分类: B类

会议地点: Utah, USA

网址：https://www.cs.brandeis.edu/~dcc/index.html

The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications.

Compression of specific types of data (text, images, video, etc.).
Compression in networking, communications, and storage.
Applications to bioinformatics.
Applications to mobile computing.
Applications to information retrieval.
Computational issues for compression related applications.
Inpainting-based compression, perceptual coding.
Compressed data structures.
Quantization theory, and vector quantization (VQ).
Joint source-channel coding.
Compression related standards.

信息安全及密码学

PKC 2020

International Workshop on Practice and Theory in Public Key Cryptography

全文截稿: 2019-11-02

开会时间: 2020-05-04

会议难度: ★★★★

CCF分类: B类

会议地点: Edinburgh, Scotland

网址：https://pkc.iacr.org/2020/

This is the 23rd edition of the International Conference on Practice and Theory of Public Key Cryptography, the main annual conference with an explicit focus on public-key cryptography, sponsored by IACR, the International Association for Cryptologic Research. Original research papers on all aspects of public-key cryptography, covering theory, implementations and applications, are solicited for submission to PKC 2020. Accepted papers will be published by Springer in their Lecture Notes in Computer Science series.

计算机体系结构,并行与分布式计算

EuroSys 2020

European Conference on Computer Systems

全文截稿: 2019-11-04

开会时间: 2020-04-27

会议难度: ★★★★

CCF分类: B类

会议地点: Heraklion, Crete, Greece

网址：https://2020.eurosys.org/

The EuroSys conference series brings together professionals from academia and industry. It has a strong focus on systems research and development: operating systems, database systems, real-time systems, network middleware, distributed, parallel, or embedded computing systems. EuroSys has become a premier forum for discussing various issues of systems software research and development, including implications related to hardware and applications.

The 15th edition of EuroSys will follow the pattern established by the previous EuroSys conferences, by seeking papers on all aspects of computer systems. EuroSys 2020 will also include a number of workshops to allow junior and senior members of the systems community to explore leading-edge topics and ideas before they are presented at a conference.

The European Conference on Computer Systems (EuroSys) is a premier international forum for presenting computer systems research. EuroSys 2020 seeks papers on all areas of computer systems research, including:

Cloud computing and datacenter systems
Operating systems
Distributed systems
File and storage systems
Networked systems
Language support and runtime systems
Systems security and privacy
Dependable systems
Database systems and data analytics frameworks
Virtualization and virtualized systems
Systems for machine learning/machine learning for systems
Mobile and pervasive systems
Parallelism, concurrency, and multicore systems
Real-time, embedded, and cyber-physical systems
Tracing, analysis, verification, and transformation of systems

计算机体系结构,并行与分布式计算

ETS 2020

IEEE European Test Symposium

全文截稿: 2019-12-09

开会时间: 2020-05-25

会议难度: ★★★

CCF分类: C类

会议地点: Tallinn, ESTONIA

网址：http://www.ieee-ets.org/

The IEEE European Test Symposium (ETS) is Europe’s premier forum dedicated to presenting and discussing scientific results, emerging ideas, applications, hot topics and new trends in the area of electronic-based circuits and system testing, reliability, security and validation. In 2020, ETS will take place in the Radisson Blu Sky Hotel in Tallinn. The city is known for the picturesque Old Town with its medieval architecture. It is organized by the Tallinn University of Technology (TalTech), which co-sponsors the event jointly with the IEEE Council on Electronic Design Automation (CEDA). In addition to scientific paper submissions, ETS offers a track for informal contributions dedicated to early hot ideas and relevant case studies as well as a PhD forum. A Test Spring School and Fringe Workshops will be organized in conjunction with ETS’20.

计算机体系结构,并行与分布式计算

CCGRID 2020

IEEE/ACM International Symposium on Cluster, Cloud and Grid

全文截稿: 2019-12-10

开会时间: 2020-05-11

会议难度: ★★★

CCF分类: C类

会议地点: Melbourne, Australia

网址：http://cloudbus.org/ccgrid2020/

The CCGrid symposium series serves as a major international forum for presenting and sharing recent research accomplishments and technological developments in the field of Cluster, Cloud and Internet computing.

The first CCGrid Conference started in Brisbane, Australia, in 2001. Since then, the conference has successfully been hosted around the world. Returning back to its originating country, the 20th International conference is going to be held in Melbourne, Australia.  

Tremendous advances in processing, communication and systems/middle-ware technologies are leading to new paradigms and platforms for computing, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and ACM, with the overarching goal of bringing together international researchers, developers, and users and to provide an international forum to present leading research activities and results on a broad range of topics related to these platforms and paradigms and their applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2020 conference.

In 2020, CCGrid will return to Melbourne, Australia, to celebrate its 20th anniversary. CCGrid 2020 will have a special focus on three important issues that are significantly influencing all aspects of Cluster, Cloud, and Internet computing: Adaptive Elastic Computing, Green Computing, and Cyber-Physical Computing. Topics of interest include, but are not limited to:

Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, etc.

More decentralized approaches to cloud computing. Edge/fog/mist computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing.

Architecture, Networking, Data Centers  

Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs.

Storage, and I/O Systems  

Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge.

Programming Models and Runtime Systems  

Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems.

Resource Management and Scheduling  

Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques.

Performance Modelling and Evaluation  

Performance models. Monitoring and evaluation tools. Analysis of system/application performance.

Cyber-Security and Privacy  

Cloud security and trust. Access control. Data privacy and integrity. Regulation.

Sustainable and Green Computing  

Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness.

Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc.  

Applications to real and complex problems in science, engineering, business and society. User studies. Experiences with large-scale deployments systems and data science applications. Distributed AI/Machine Learning on the cloud. Data streaming analytics for intelligent transportation systems.

数据库管理与信息检索

PODS 2020

ACM SIGMOD Conference on Principles of DB Systems

摘要截稿: 2019-12-15

全文截稿: 2019-12-22

开会时间: 2020-06-14

会议难度: ★★★★

CCF分类: B类

会议地点: Portland, OR, USA

网址：https://sigmod2020.org

The Principles of Database Systems (PODS) symposium series, held in conjunction with the SIGMOD conference series, provides a premier annual forum for the communication of new advances in the theoretical foundations of data management, traditional or nontraditional (see https://databasetheory.org/PODS).

Topics of Interest

For the 39th edition, PODS continues to aim to broaden its scope, and calls for research papers providing original, substantial contributions along one or more of the following tracks:

- deep theoretical exploration of topical areas central to data management

- new formal frameworks that aim at providing a basis for deeper theoretical investigation of important emerging issues in data management

- validation of theoretical approaches from the lens of practical applicability in data management. Papers in this track should provide an experimental evaluation that gives new insight in established theories. Besides, they should provide a clear message to the database theory community as to which aspects need further (theoretical) investigation, based on the experimental findings.

Topics that fit the interests of the symposium include, but are not limited to:

- concurrency & recovery, distributed/parallel databases, cloud computing
- data and knowledge integration and exchange, data provenance, views and data warehouses, metadata management
- data-centric (business) process management, workflows, web services
- data management and machine learning
- data mining, information extraction, search
- data models, data structures, algorithms for data management
- data privacy and security, human-related data and ethics
- data streams
- design, semantics, query languages
- domain-specific databases (multi-media, scientific, spatial, temporal, text)
- graph databases and (semantic) Web data
- incompleteness, inconsistency, uncertainty in data management
- knowledge-enriched data management
- model theory, logics, algebras, computational complexity

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