Call For Papers

All aspects of distributed systems which apply machine learning or computational intelligence techniques are within the scope of the symposium. Like other conferences, ACMiNS requires that papers not be submitted simultaneously to any other conferences or publications; that submissions not be previously published in peer-reviewed conferences; and that accepted papers not be subsequently published elsewhere.
Topics of interest include, but are not limited to, the following:
Cluster, Cloud and Grid Computing
Context-Aware Distributed Systems
Data-Driven Network Architecture Design
Dependable Distributed Algorithms and Systems
Distributed Collaborative Information Processing
Big Data Analytics and Feature Extraction
Distributed Machine Learning Systems and Infrastructure
Distributed Multimedia Systems
Distributed Network Control and Management
Distributed Operating Systems and Middleware
Distributed Software-Defined Networks
Distributed Data Mining for Grid, Cloud, Big Data and IoT
Edge and Fog Computing
Green Networks and Green Networked Systems
Information-Centric Networking, Content Distribution and Retrieval
Internet of Things, Smart Cities, and Cyber-Physical Systems
Knowledge Discovery in Distributed Environments
Large Scale Distributed Deep Networks
Learning-Based Network Optimization
Methods for Design, Implementation and Analysis of Networked Systems
Middleware Architectures and Platforms for Networked Systems
Mobile, Ad-Hoc, Opportunistic, Vehicular and Sensor Networks
Mobility and Location Management
Network Data Mining
Optimization, Modeling and Simulation
Peer-To-Peer and Overlay Networks
Recommender Systems
Reliability and Fault-tolerant Computing
Resilient Load Balancing
Resource Management and Scheduling
Routing and Traffic Management
Security, Privacy, Trust
Self-Managing Storage for Enterprise Clusters
Self-stabilization, Self-organization, Autonomy
Shared and Transactional Memory, Concurrency, Synchronization
Social Networks and Crowdsourcing
Web Services and Mobile Services
All papers that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to workshop, contributions, and readability. Acceptance of papers will be communicated to authors by email. The authors of the accepted papers will be allowed to make corrections in accordance with the suggestions of the reviewers and submit final camera-ready papers within the stipulated deadline.