TweetIn the past two decades, enormous innovation has taken place on top of the Internet architecture.
With the evolution of cloud computing and virtualization, IT managers have had to change in recent years the way we interact with technology.
In a series of three articles, we will try to explore the potential of Software Defined Networking, keys vendors and products, recent development on Software Defined Networking, key acquisitions and the market potential. We are about to witness a revolution in the networking towards so-called “Software Defined Networking” or “Software Defined Network” (SDN). Definition on Wikipedia: “Software-defined networking (SDN) is an approach to building data networking equipment and software that separates and abstracts elements of these systems.
SDN thus gives owners and operators of networks better control over their networks, allowing them to optimize network behavior to best serve their and their customers’ needs. SDN focuses less on decoupling and more on programming interfaces that provide network equipment, whether or not a separation of control plane and footblocks. This is not only a focus on Cisco, and other vendors, including Arista, Extreme and Juniper currently provide direct access to their products. With a common definition of SDN, overall control of the network is achieved by centralizing logic of the control plane function, and network operations organization can cope with a group of network devices as a single entity.
The group most associated with the development of standards based on SDN is the Open Networking Foundation (ONF). SDN lets network operators manage, configure, optimize and secure network resources quickly via dynamic, automated SDN programs, which are independent on proprietary software.
SDN addresses the ever changing network requirements to the dynamic computing and software needs of data centers, cloud environments, etc.
With the cloud is more flexible now in the IT collection, services and applications, there is virtually on demand from virtual server clusters. SDN enables automated virtualization an open network infrastructure unlike the conventional very hierarchical network architectures. For example, cloud providers will benefit from the new technology, since they receive a highly scalable multi-tenancy environment. Using open APIs, third party could provide advanced networking features and services, such as load balancers, or intrusion prevention systems. In coming days, we would see the availability of the functionality that enables organizations to effectively manage this new form of networking. In 2012, more than 1.7 million jobs in the field of cloud computing remained unoccupied, according to analysts firm IDC. Cloud marketing has the ability to drastically change the ways in which they reach and engage their audience, particularly with regard to distributing and storing mission-critical data. More and more companies encourage their employees to work on their devices, thus reducing the cost of computer equipment, but also increase the cost to maintain licenses and safety. Despite the inclination to wait until all of the cloud’s kinks have been worked out, holding off on cloud initiatives until the industry matures won’t guarantee success. The software industry is undergoing major changes by trends such as cloud, SaaS, mobile technology and the “consumerization of IT”. Cloud Computing is not so much about technology but more about the new business models that this technology enables. The business model canvas is a visual template for developing and discussing business models.
The business model canvas has nine basic building blocks and specific relations between those building blocks. In the Business Model Canvas, “Customer Segments” are the groups of customers that the company ultimately serves, i.e.
In the AWS case, although basically anybody with a credit card can spin up a virtual machine, it looks like Amazon is primarily targeting software developers and (startup) SaaS providers as its main customers. The value proposition of cloud computing centres around its five essential characteristics. Value propositions are delivered to customers through communications, distribution and sales channels.
It is often assumed that cloud computing relies solely on self-service direct sales, but the reality is much more diverse.
One of the ways that AWS maintains relationships with its customer segments is through conferences.
Revenue streams are the result of value propositions that are successfully offered to customers.
The structure of revenue streams is where cloud computing differs from earlier IT service models, as they are usage based rather than asset based.

Key resources are the assets required to offer and deliver the previously mentioned elements (e.g. In more traditional IT service models the revenue streams are tightly coupled to the cost structure. The business model canvas is a good tool to map out the particularities of cloud provider business models. We’ve heard so much about the Internet of Things (IOT) being the next enormous step for both the Internet and for Big Data. Even more, the IOT is going to require an ability to catch and make sense of streams of data that are generated by all of those billions of devices and sensors.
While this is done in the financial services markets today, this technology will need to be applied to supply chains, logistics, healthcare and many more business models. On this front, much of the technology to integrate exists today but isn’t broadly adopted yet. The other key point here is that the best Streaming technologies do the integration on the fly, often from many disparate sources before it ever lands anywhere. Enter your email address to subscribe to this blog and receive notifications of new posts by email. Like every other aspect of technology servicing, software testing too has been seeing a gradual migration to the cloud over the past decade. Email, e-commerce, search, social networks, cloud computing, and the web as we know it is all good examples. SDN allows system administrators to network services more easily through abstraction of lower level functionality into virtual services. For instance, in data centers SDN can be used to reduce energy usage by allowing some routers to be powered down during off-peak periods. A secondary reason for this shift in focus is because Cisco recently announced that as part of its offer of SDN, it would provide API across multiple platforms. An advantage of this approach is that it allows very detailed access and controls the network elements, but does not provide a central point and is vendor specific. With SDN, network flows are controlled at the level of abstraction of the global network, rather than at the individual device level. The ONF was launched in 2011 and has a vision to make the OpenFlow and Linux Foundation’s new OpenDaylight based SDN as the new standard for networks. The driving trends for a new network paradigm include the rise of cloud services, focus on Big Data, consumerization of IT, and changing network patterns. Due to the increasing virtualization of networks, we will see a high demand and a correspondingly significant market growth for SDN in the coming years. Service providers can offer higher pay services by policy-based control and analysis in a more flexible way.
Providers are also working on multi-tenant, virtual switches with ports spread across multiple physical systems. There is also no doubt that in the current environment, SDN is only suitable for early adopters. The second is the availability of a wide range of applications that leverage centralized control inherent in most forms of SDN.
The rest of this article describes each of them, and gives a brief example of how they apply to a cloud provider proposition. This is the central element that describes why a customer would ultimately pay for the product or service. For example, in the AWS EC2 case, the core component of the value proposition is rapid self-service provisioning of virtual machines with pay per use billing.
This is the new playground of the Silicon Valley (and elsewhere) VC and entrepreneur and is attracting lots of attention and cash.
If 2 billion people struggle to be connected today, the need to add 25X devices is going to require a whole new way of connecting things. When the moment is just right, rules will need to be applied to kick off messages to people or other systems. As much as technology captures our imagination, it captures the pocketbook only when it fits a business purpose and generates revenue. What was once the luxury of high-speed business models will need to be the heavy lifting infrastructure of companies that want to compete on a level playing field.
A 2010 study by Fujitsu revealed that testing and development tools were the second most widely used cloud applications (website services being the first).There are multiple reasons why cloud testing is not only easier, but also more efficient.
For example, instead of creating a physical NIC, an administrator can create hundreds of virtual NIC from a network.

SDN enables innovation in all kinds of networks — including data centers, wide area telecommunication networks, wireless networks, and enterprises and in homes — through relatively simple software changes. The SDN ecosystem amplitude is reflected in the fact that today ONF has more than 70 members of various types, including suppliers providing silicon and switches, network devices, controllers, test equipment, telecommunication services, data center services, hyper-scale and smartphones. However, given the combination of the huge investments being made by the big players, along with the current wave of acquisitions, the SDN landscape is likely to change significantly in the next 12-18 months.
One of the most inspiring ways of looking at business models is through the so-called “Business Model Canvas”. The main cloud provider example I will use is Amazon Web Services (AWS), in particular EC2 (virtual machines on demand). Interestingly, that interface used to lag in functionality behind the main AWS services, but these days most new features are announced on the API and the Web UI simultaneously. But there is more; the service can only be delivered through advanced and unique fulfilment software and processes.
And if you want to do this for your own organization, consider my Cloud Business Essentials workshop. This will require technology built to absorb these streams and make sense of them as they arrive, at full velocity, at the point of collection. This is a process bonanza that will require real technology muscle to be flexible and fast enough.
Without in-memory computing power, the IOT would be powered by traditional technology architectures and that will never work for the speed and scale of the problem. That will happen not when TechCrunch creates the VC and entrepreneur’s mashup above, but when business and individuals derive value from it. This is exactly why Gartner believes that integration will be 50% of the challenge of major projects for the next several years. Firstly, in a number of large companies, development and testing teams are spread across the world – a cloud based testing tool helps in faster collaboration. These innovations have helped data centers to improve the control, management and data loads. This article explores the basics of cloud computing business models as drawn out on such a canvas. An example is reduced capital expenditure and reduced risk of over-investing or under-provisioning. Finally, though details are scarce, we can assume that AWS does extensive analytics on the activities customers engage in on the platform. Also, it saves time for teams from downloading and uploading test reports – a cloud based report can be easily accessed from anywhere in the world and can be set-up quite easily.Besides the basic advantages that cloud testing provide, there are also other ways by which you can leverage the cloud to make software testing a much more productive process.
The new technique can also virtualize the network so that they can respond flexibly to the needs of different applications. The power of the business model canvas approach will become clear if we see how it can distinguish between various cloud service offerings and traditional IT. Conventional load testing practice involves building a load testing environment that is tested using an appropriately built load testing hardware.
With cloud testing, you could invoke a third party load testing tool to simulate an environment of thousands of concurrent users, initiate database transactions and generate automated reports on the application performance. The cost of using a pay-as-you-go third party service is also cheaper than installing your own load environment.Big Data Testing ToolsThere has been a lot of emphasis on automating test cases over the past decade. The benefits of test automation far outweigh the investment in terms of cost and resources incurred. Automation for businesses that make extensive use of big data analytics is all the more harder considering the complex environments they work on. But thanks to cloud based functional test automation tools, it is possible to build accurate test cases using synthetic data that can efficiently generate test reports. The advantage with such platform-as-a-service tools was that it was simple to scale resources on demand.
Such testing experiements require teams to allocate significant resources for computation and storage.
With cloud tools like EC2 and Rackspace, the cost for such computation and storage allocation is minimal and can be made available at the click of a button. It will be interesting to see the kind of tools and services that cloud can offer to make software testing even more optimized and efficient in future.

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