SDN orchestration architectures and their integration with Cloud Computing applications

Abstract

Emerging cloud-based applications, running in geographically distributed data centers (DCs), generate new dynamic trac patterns which claim for a more ecient management of the trac ows. Geographically distributed DCs interconnection requires automatic and more dynamic provisioning and deletion of end-toend (E2E) connectivity services, through heterogeneous network domains. Each network domain may use a dierent data transport technology but also a dierent control/management system. The fast development of Software Dened Networking (SDN) and the interworking with current control plane technologies such as Generalized Multi-protocol Label Switching (GMPLS), demand orchestration over the heterogeneous control instances to provide seamless E2E connectivity services to external applications (i.e. cloud computing applications).In this work, we present dierent orchestration architectures based on the SDN principles which use the Path Computation Element (PCE) as a fundamental component. In particular, a single SDN controller orchestration approach is compared with an orchestration architecture based on the Application Based Network Operations (ABNO) dened within the International Engineering Task Force (IETF), in order to nd the potential benets and drawbacks of both architectures. Finally, the SDN IT and Network Orchestration (SINO) platform which integrates the management of Cloud Computing infrastructure with the network orchestration, it is used to validate both architectures by evaluating their performance providing two inter-DC connectivity services: E2E connectivity and Virtual Machine (VM) migration.

Software Defined Optical Networks (SDONs): A Comprehensive Survey

“…In particular, most studies have focused on hierarchical structures [433], [439], [440], while only one study has mainly focused on a flat orchestration structure [434]. In the context of DC internetworking, the studies [437], [438] have sought to bring out the tradeoffs between these two structures by examining a range of structures from centralized to distributed. While centralized orchestration can make decisions with a wide knowledge horizon across the states in multiple domains, distributed decision making preserves the privacy of network status information, reduces control traffic, and can make fast localized decisions.…”

“…VII-B2 Control Arch. [437], [438] H-PCE [439] Virt.-SDN Ctl. [440], [441] a) Hierarchical Multilayer Control: Felix et al [424] presented an hierarchical SDN control mechanism for packet optical networks.…”

A Deep Learning method for effective channel allotment for SDN based IOT

“…SDN enabled IoT is evolving as a scalable network architecture, which is capable enough to overcome the limitations of IP networks for transmission of data [6,7]. Indeed, SDN-based networks not only use IP destination address but also make use of several other components such as mac addressing, Network and Transport header of packets [8,9].SDN technologies uses control plane and data plane where these two are physically separated. The forwarding devices such as routers and switches only have the data plane and the central controller have the control plane.…”

Control, Management, and Orchestration of Optical Networks: Evolution, Trends, and Challenges

“…OpenFlow islands inter-connected by a GMPLS/PCE optical network) [26] [27]. The latter, by the provisioning of cloud services that require end-to-end Intra/Inter data center (DC) control and inter-connection of Virtual Machines (VMs) located in distributed data centers, in multiple geographically disperse sites or locations, where cloud locations are optimized for applications delivery [28]. Such orchestration is driven by the increased use of virtualized servers, the need to interconnect the supporting VMs and/or containers and fundamentally the Fig.…”