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DISC 2017 : The International Symposium on DIStributed ComputingConference Series : International Symposium on Distributed Computing | |||||||||||||||
Link: http://www.disc-conference.org/wp/disc2017/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Welcome to DISC 2017
The International Symposium on DIStributed Computing (DISC) is an international forum on the theory, design, analysis, implementation and application of distributed systems and networks. DISC 2017 will be held in Vienna, Austria, between the 16th and 20th of October. DISC is organized in cooperation with the European Association for Theoretical Computer Science (EATCS). Important Dates Abstract Registration: May 01, 2017 (AoE) Paper Submission: May 08, 2017 (AoE) Notification: June 30, 2017 Camera-Ready Submission: August 5, 2017 Main Conference: October 17–19, 2017 Workshops: October 16 and October 20, 2017 Scope Original contributions to theory, design, implementation, modeling, analysis, or application of distributed systems and networks are solicited. Topics of interest include, but are not limited to: Distributed algorithms and data structures: correctness and complexity Concurrency, synchronization, and transactional memory Distributed operating systems, middleware, database systems Self-stabilizing, self-organizing, and autonomous systems Wireless, mobile, sensor and ad-hoc networks Fault tolerance, reliability, availability Game-theoretic approaches to distributed computing Specification, verification, and testing: tools, methodologies Networks: protocols, architectures, services, applications Multiprocessor and multicore parallel architectures and algorithms System on chip and network on chip architectures Security in distributed computing, cryptographic protocols Distributed computing issues in the Internet and the Web Cloud and peer-to-peer computing Software-defined networking and network functions virtualization Data science and network science Mobile agents and autonomous robots Biological and nature-inspired distributed algorithms Block chain, MapReduce, and other recent distributed paradigms |
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