Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks - Call for Papers

Call For Papers

Cloud computing has been widely adopted to enable convenient access to a shared pool of computing resources. Nevertheless, as the distance between the cloud and the edge device is usually large, cloud computing services may not provide guarantees to low latency applications, and transmitting a large amount of data (e.g., in big data analytics) from the device to the cloud may not be feasible or economical. To address these issues, edge (fog) computing has been proposed to deploy computing resources closer to end users. Edge computing allows edge devices to perform computation offloading to offload their computational tasks to the edge server, which executes the computational tasks on behalf of the edge devices. Another new technology called information-centric networking (ICN) has been extensively studied in recent years. In-network caching is used in ICN to reduce the duplicate content transmission in networks. ICN-based caching has been recognized as one of the promising techniques for future wireless/wired networks.

Recently, there is a phenomenal burst of research activities in integrating edge computing, caching, and offloading in next generation networks. From the perspective of applications (e.g., video), network, cache and compute are underlying resources enabling these applications. How to manage, control and optimize these resources can have significant impacts on the performance of applications.

The Workshop on "Integrating Edge Computing, Caching, and Offloading in Next Generation Networks" provides a forum that brings together industry and academia, engineers and researchers to discuss up-to-date developments in integrating edge computing, caching, and offloading in next generation networks. The workshop invites submissions of unpublished works on (but not limited to) the following topics:

• Trends and challenges of integrating edge computing, caching, and offloading
• Low-latency offload infrastructure
• Micro data cells/centers for integrating edge computing, caching, and offloading
• Cloudlets for integrating edge computing, caching, and offloading networks
• Supporting real-time multimedia services over edge computing, caching, and offloading networks
• Edge computing networks for wireless big data applications
• Machine learning based edge computing, caching, and offloading wireless networks
• Artificial Intelligence (AI), data mining and big data analytics in the edge of wireless network
• AI and machine learning for multimedia services
• Energy and spectrum efficient wireless network operations and wireless resource allocations via AI and machine learning algorithms
• Caching, and edge computing using software-defined networking (SDN) and network functions virtualization (NFV)
• Architectures and protocols for integrating edge computing, caching, and offloading
• Designs and optimizations for integrating edge computing, caching, and offloading
• Information-centric and content-centric networks
• Information theory for caching and offloading
• Cache-enabled networks
• Computation offloading in networks
• Networks for cloud computing
• Networks for edge/fog computing
• Integrating edge computing, caching, and offloading in 5G cellular networks
• Energy efficient hardware, software, networks and services
• QoS provisioning and resource management in integrating edge computing, caching, and offloading
• Modeling and performance evaluation of integrating edge computing, caching, and offloading
• Performance/complexity/cost tradeoff
• Pricing and billing for integrating edge computing, caching, and offloading
• Security and privacy for integrating edge computing, caching, and offloading
• Green and sustainable edge computing, caching, and offloading
• Big data for integrating edge computing, caching, and offloading
• Signal processing for integrating edge computing, caching, and offloading
• Information theory for integrating edge computing, caching, and offloading
• Interdisciplinary research for integrating edge computing, caching, and offloading
• Studies for integrating D2D/M2M and IoT with edge computing, caching, and offloading
• Implementations and trails for edge computing, caching, and offloading
• Standards, policies, and regulations for integrating edge computing, caching, and offloading