IEEE International Conference on Computer Communications
15-19 April 2018 // Honolulu, HI // USA

Workshop on RS-FCN: Resource Slicing for Future Clouds and Networks - Call For Papers

Virtualization is a key enabling technology both in Cloud and in NFV/SDN networking. From an operational point of view, physical resources must be allocated to support the virtual resources assigned to users in a way that allows full isolation of each resource consumer. Isolation means that actions of one user should not affect the service of others, and it requires, in addition to host level resource partitioning, the allocation of global networking and other functional services provided by the cloud operator -- this is referred to as resource slicing. In NFV/SDN, computation and communication resources can be allocated to a group of services in the form of virtual network slices that  can be consumed on the fly, with fine granularity, serving a specific purpose during a specific period of time. Network slices can be independently and dynamically configured with surgical accuracy, deciding the proximity, availability, and scaling of resources that are required to meet each slice’s QoS requirements at any point in time. Similarly, in the cloud, slicing enables the elastic allocation of physical and lower level functionality resources (e.g., DNS, analytics) to each of the tenants of a data center. 

This workshop aims at bringing together the communities of cloud, networking, and theoretical resource allocation with the goal of discussing and designing novel models, protocols, and algorithms for the above-described ecosystem of future clouds and networks based on elastic resource slicing. We solicit novel contributions on related topics, which include but are not limited to the following: 

  • New models and abstractions for the definition of cloud resource slicing
  • New models and abstractions for the definition of network slices
  • Resource allocation algorithms for resource slicing
  • End-to-end network slice embedding in distributed cloud infrastructures
  • Dynamic resource slicing algorithms
  • Adaptive scaling and efficient traffic engineering for network slicing 
  • Resource provisioning and service chaining for network slices
  • Distributed, centralized, and hybrid network optimization algorithms with applications to network slicing
  • Architectures for hierarchical control
  • ​Cloud resource and network slicing in 5G​