Special Issues

IoT runs special issues to create collections of papers on specific topics. The aim is to build a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors who are experts in the subject and oversee the editorial process for papers. Papers published in a Special Issue will be collected together on a dedicated page of the journal website. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Efficiency of Modern Data Centers (EMDC)
edited by Eyhab Al-Masri, Di Wang and Iyswarya Narayanan
submission deadline 30 Sep 2021 | 1 articles
Keywords: IoT-Based Management for Ambient Devices; Reliability and Performance Methods; Design Methodologies for Data Centers; IT Equipment and Software Systems Benchmarks; Risk Management and Implementation Methods; Disaster Recovery Planning Methods; Server Metrics and Dashboards; Data Centers’ Design and Simulation Tools; Data Center Standards and Certifications; Data Centers’ Capacity Planning Methods; Data Centers’ Big Data Analytics; Data Centers’ Trends and Research Challenges; Data Center’s Architecture Design; Data Centers’ Environmental Conditions and Energy Efficiency; Data Center’s Power Provisioning and Management; Data Center’s Cooling System; Data Center’s (Renewable) Energy Sources and Management; Data Center’s Workload Management; Data Center’s Hardware Design and Optimization; Data Center’s Availability and Reliability; Data Center’s Infrastructure Optimization; Data Center’s Network Provisioning, Design and Optimization; Data Center’s Compute; Provisioning, Design and Optimization; Data Center’s Storage Provisioning, Design and Optimization; Data Center’s Operation Optimization; Data Center’s Emerging Energy Sources; Data Center’s Hardware/Software Stack Co-Optimization; Data Center’s Performance Monitoring, Accounting, and Optimization; Data Center’s Service Pricing Design and OptimizationMulti-tenant datacenter design and optimization; Virtualization in datacenters; Software-defined compute, network and storage; Distributed training of deep learning models in datacenters; Deep learning inference optimization in datacenters; Green Datacenters; Micro datacenter Management for Fog Computing; Resource Allocation and Management for Fog Computing
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