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Dear Colleagues, Please consider contributing to the 1st ACM CoNEXT Workshop on Emerging in-Network Computing Paradigms (ENCP’19) to be held on 9-12 December 2019; Orlando, FL, USA. Workshop link: http://www.cs.umsl.edu/~encp19/ <http://www.cs.umsl.edu/~encp19/> Scope and Topic List The integration of computing and networking is considered a promising direction to fulfill the strict low latency and high data exchange requirements of a number of new and innovative application use-cases (e.g., augmented/virtual reality, autonomous driving, drone coverage). Context-aware networking can help maximize the compute utilization at the edge increasing the network capacity. For instance, network functions may enable intelligent distribution of tasks to resources, the reuse of results from previously executed tasks, adaptability to the dynamic nature of edge ecosystems (e.g., network dynamics, bursty rates of tasks, dynamic resource availability). The ENCP workshop has the integration of networking and computing as the central theme with a focus on mechanisms for the joint optimization of networking and computing resources, infrastructure virtualization, in-network caching, compute reuse, and security and privacy concerns. The ENCP workshop has the goal of serving as a venue, where minds from the Distributed Computing, Information-Centric Networking (ICN), Network Function Virtualization (NFV), Software-Defined Networking (SDN), Edge Computing communities meet to advance the state-of-the-art in the area of systems for In-Network Computing. The workshop welcomes submissions from researchers and practitioners from academia and industry, who explore challenges and advances in architectures, algorithms, protocols, middleware, and technologies in the current or the future clean-slate Internet. We also encourage work-in-progress and position papers that describe original ideas, present new directions, or have the potential to stimulate insightful discussions. ENCP invites submissions of unpublished work on the following topics (but not limited to): • Architectures of in-network computing • In-network caching solutions • Virtualization for in-network computing systems • Network Function Virtualization (NFV) for in-network computing • Security, privacy, trust management, and access control in in-network computing architectures • Information-Centric Networking (ICN) for in-network computing • Software-Defined Networking for in-network computing • In-network computing for challenged networks (e.g., disaster scenarios) • Deployment and interoperability with traditional network architectures/functions • Network slicing for in-network computing systems • Internet of Things (IoT) for in-network computing • Pricing and billing in in-network computing systems • Highly available in-network computing systems • Management of in-network computing systems • In-network computing in the era of 5G • Scalability, performance advancements, and fault-tolerance • Tools for troubleshooting, monitoring, and validation of in-network computing systems and architectures • Innovative applications that in-network computing enables • In-network computing in public and private clouds, as well as edge computing paradigms • Resource allocation, modeling, and analysis • Applications of machine learning to in-network computing • Microservice architectures • Distributed consensus algorithms • Data processing frameworks Important dates Paper registration deadline: September 9, 2019 Paper submission deadline: September 16, 2019 Acceptance notification: October 4, 2019 Camera-ready deadline: October 13, 2019 Submission details The workshop solicits papers written in the standard (2-column, 10pt ACM format). All the submissions will be double-blind and will be peer-reviewed. Per the anonymity guide, authors must remove their own names and any other information that may identify themselves to the reviewers. Submissions should be no more than 6 pages (including references, appendix, and all figures). The submission links will be announced shortly. — Reza Tourani Assistant Professor Department of Computer Science Saint Louis University
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