Search

The fast growing development of Network Function Virtualization (NFV) trends and the remarkable progress of Software Defined Networking (SDN) have yielded a synergy between both, towards the provision of convergent networking solutions. Since the traditional networking principles were not designed according to the NFV principles, a work has emerged dedicated to protocol redesign among the academic fellows and the industry representatives. A typical example that has been introduced in such eco-system is the concept of network service chaining, as a composition of virtual network functions stitched together in a logically ordered fashion, to create an integral networking service that can be owned by network administrators, programmers, cloud- and telco-operators. This appoints SDN as an essential technology enabler in administering advanced traffic steering techniques, thanks to the SDN controller's capability to dynamically manage VNFs virtual connections and underlying dataplane flows. Despite the rapid progression, the strategies for traffic steering in NFV environment, are still facing imminent challenges to be addressed. This paper joins NFV and SDN technology into a novel traffic steering solution based on open source reference implementations (such as SDK for SDN, virtual Traffic Classifier, virtual Media Transcoder, and WAN Infrastructure Connection Manager) designed with performance and network optimizations in mind. We have successfully deployed and tested the system prototype in a real datacenter. The evaluation results of the prototype system: (1) validated the presented chain use cases, (2) affirmed an efficient performance and scalability of the chaining method, and (3) certified good quality of video traffic transmission and transcoding.

Running applications in the cloud efficiently requires much more than deploying software in virtual machines. Cloud applications have to be continuously managed: (1) to adjust their resources to the incoming load and (2) to face transient failures replicating and restarting components to provide resiliency on unreliable infrastructure. Continuous management monitors application and infrastructural metrics to provide automated and responsive reactions to failures (health management) and changing environmental conditions (auto-scaling) minimizing human intervention. In the current practice, management functionalities are provided as infrastructural or third party services. In both cases they are external to the application deployment. We claim that this approach has intrinsic limits, namely that separating management functionalities from the application prevents them from naturally scaling with the application and requires additional management code and human intervention. Moreover, using infrastructure provider services for management functionalities results in vendor lock-in effectively preventing cloud applications to adapt and run on the most effective cloud for the job. In this paper we discuss the main characteristics of cloud native applications, propose a novel architecture that enables scalable and resilient self-managing applications in the cloud, and relate on our experience in porting a legacy application to the cloud applying cloud-native principles.

Running applications in the cloud efficiently requires much more than deploying software in virtual machines. Cloud applications have to be continuously managed: (1) to adjust their resources to the incoming load and (2) to face transient failures replicating and restarting components to provide resiliency on unreliable infrastructure. Continuous management monitors application and infrastructural metrics to provide automated and responsive reactions to failures (health management) and changing environmental conditions (auto-scaling) minimizing human intervention. In the current practice, management functionalities are provided as infrastructural or third party services. In both cases they are external to the application deployment. We claim that this approach has intrinsic limits, namely that separating management functionalities from the application prevents them from naturally scaling with the application and requires additional management code and human intervention. Moreover, using infrastructure provider services for management functionalities results in vendor lock-in effectively preventing cloud applications to adapt and run on the most effective cloud for the job. In this paper we discuss the main characteristics of cloud native applications, propose a novel architecture that enables scalable and resilient self-managing applications in the cloud, and relate on our experience in porting a legacy application to the cloud applying cloud-native principles.

The fast growing development of Network Function Virtualization (NFV) trends and the remarkable progress of Software Defined Networking (SDN) have yielded a synergy between both, towards the provision of convergent networking solutions. Since the traditional networking principles were not designed according to the NFV principles, a work has emerged dedicated to protocol redesign among the academic fellows and the industry representatives. A typical example that has been introduced in such eco-system is the concept of network service chaining, as a composition of virtual network functions stitched together in a logically ordered fashion, to create an integral networking service that can be owned by network administrators, programmers, cloud- and telco-operators. This appoints SDN as an essential technology enabler in administering advanced traffic steering techniques, thanks to the SDN controller's capability to dynamically manage VNFs virtual connections and underlying dataplane flows. Despite the rapid progression, the strategies for traffic steering in NFV environment, are still facing imminent challenges to be addressed. This paper joins NFV and SDN technology into a novel traffic steering solution based on open source reference implementations (such as SDK for SDN, virtual Traffic Classifier, virtual Media Transcoder, and WAN Infrastructure Connection Manager) designed with performance and network optimizations in mind. We have successfully deployed and tested the system prototype in a real datacenter. The evaluation results of the prototype system: (1) validated the presented chain use cases, (2) affirmed an efficient performance and scalability of the chaining method, and (3) certified good quality of video traffic transmission and transcoding.