Control Orchestration Protocol: Unified Transport API for Distributed Cloud and Network Orchestration

Abstract

General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms Abstract-In the context of the fifth generation of mobile technology (5G), multiple technologies will converge into an unified end-to-end system. For this purpose, SDN is proposed as the control paradigm will integrates all network segments and heterogeneous optical and wireless network technologies together with massive storage and computing infrastructures.The Control Orchestration Protocol (COP) is presented as a unified Transport API solution for joint cloud/network orchestration, allowing interworking of heterogeneous control planes to provide provisioning and recovery of QoS-aware end-to-end services. E2E QoS is guaranteed by provisioning and restoration schemes, which are proposed for optical circuit/packet switching restoration by means of signal monitoring and adaptive modulation, and adaptive route control, respectively.The proposed solution is experimentally demonstrated in an international multi-partner testbed which consists of a multidomain transport network comprising OCS and OPS domains controlled by SDN/OpenFlow and GMPLS control planes and a distributed cloud infrastructure. The results show the dynamic provisioning of IT and network resources and recovery capabilities of the architecture.

Dynamic weight routing and optical-code algorithm based on SDN

“…After SDN is applied to the four-layer multi-granularity optical switching network, the data plane is decoupled from the control plane [10] , and path calculation and resource allocation will be controlled by the SDN controller [10] , the node focuses on data forwarding, which greatly reduces the pressure on the node. The controller is the most important part of SDN, reference [11] have revealed a new taxonomy of cutting-edge studies about solutions of controller placement problem (CPP) optimization in the SDN from different dimensions.…”

Resource Abstractions in NFV Management and Orchestration: Experimental Evaluation

“…The second approach tackled in [10], [17], [18], allows the lower-layer resource orchestrator to expose an abstracted infrastructure view without an 1:1 relationship/pre-calculated underlying physical resources. Thus, rather than associating a LL to a physical path, as done in the previous strategy, the LL is tied to a connectivity service type/class defining certain QoS characteristics (e.g., minimum guaranteed bandwidth, maximum delay, etc.).…”

Trusted and secure composite digital twin architecture for collaborative ecosystems

“…Therefore, trust must be analysed before starting communication and throughout the operation to ensure all connected DTs operate as expected. Examples of computation-based trust include quality of service (QoS) analysis [32,[47][48][49], ranking, and reputation management based on past behaviours [17,37,38,48,49].…”