Journal for software defined networking

Enter the characters you see below Sorry, we just need to make sure you’re not a robot. SDS rose after VMware acquired Nicira for over a billion dollars in 2012. Data storage vendors used journal for software defined networking definitions for software-defined storage depending on their product-line. Abstraction of logical storage services and capabilities from the underlying physical storage systems, and in some cases pooling across multiple different implementations.

Since data movement is relatively expensive and slow compared to computation and services , pooling approaches sometimes suggest leaving it in place and creating a mapping layer to it that spans arrays. VMware for a more transparent mapping between large volumes and the VM disk images within them, to allow better performance and data management optimizations. NFS community but has expanded to many implementations. A number of Object Storage platforms are also examples of software-defined storage implementations examples of this are Scality RING and the open source swift project. Number of distributed storage solutions like Gluster are good examples of software defined storage. Automation with policy-driven storage provisioning with service-level agreements replacing technology details. Commodity hardware with storage logic abstracted into a software layer.

This is also described as a clustered file system for converged storage. It may co-reside with virtual machine supervisors or have exclusive control of its platform. The storage hypervisor software virtualizes the individual storage resources it controls and creates one or more flexible pools of storage capacity. By moving storage management into isolated layer it also helps to increase system uptime and High Availability. The storage hypervisor, a centrally-managed supervisory software program, provides a comprehensive set of storage control and monitoring functions that operate as a transparent virtual layer across consolidated disk pools to improve their availability, speed and utilization. Storage hypervisors enhance the combined value of multiple disk storage systems, including dissimilar and incompatible models, by supplementing their individual capabilities with extended provisioning, data protection, replication and performance acceleration services.

In contrast to embedded software or disk controller firmware confined to a packaged storage system or appliance, the storage hypervisor and its functionality spans different models and brands and types of storage covering a wide range of price and performance characteristics or tiers. The underlying devices need not be explicitly integrated with each other nor bundled together. A storage hypervisor enables hardware interchangeability. The storage hardware underlying a storage hypervisor matters only in a generic way with regard to performance and capacity. While underlying “features” may be passed through the hypervisor, the benefits of a storage hypervisor underline its ability to present uniform virtual devices and services from dissimilar and incompatible hardware, thus making these devices interchangeable.

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The term “hypervisor” within “storage hypervisor” is so named because it goes beyond a supervisor, it is conceptually a level higher than a supervisor and therefore acts as the next higher level of management and intelligence that sits above and spans its control over device-level storage controllers, disk arrays, and virtualization middleware. Business availability: Data mobility of virtual volumes can improve availability. Application support: Tiered storage optimization aligns storage costs with required application service levels”. The foundation of clouds: Intelligent abstraction”. VMworld 2012 A software-defined datacentre is an IT facility where the elements of the infrastructure – networking, storage, CPU and security – are virtualised and delivered as a service.

The provisioning and operation of the entire infrastructure is entirely automated by software. Software-defined storage: The reality beneath the hype”. Evaluation and design of highly reliable and highly utilized cloud computing systems, Page 12″. June 23, 2011 and written by Todd Erickson.

Published on November 23, 2010 and written by Lucas Mearian. Please help improve it or discuss these issues on the talk page. This article has been nominated to be checked for its neutrality. Discussion of this nomination can be found on the talk page.

This article needs additional citations for verification. This section may need to be rewritten entirely to comply with Wikipedia’s quality standards, as it seems to deviate from the SDN development history as described in this source. This section’s factual accuracy is disputed. Relevant discussion may be found on Talk:Software-defined networking.

The history of SDN principles can be traced back to the separation of the control and data plane first used in the public switched telephone network as a way to simplify provisioning and management well before this architecture began to be used in data networks. These early attempts failed to gain traction for two reasons. One is that many in the Internet community viewed separating control from data to be risky, especially owing to the potential for a failure in the control plane. Ethane project at Stanford’s computer sciences department.

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