by clicking on the page. A slider will appear, allowing you to adjust your zoom level. Return to the original size by clicking on the page again.
the page around when zoomed in by dragging it.
the zoom using the slider on the top right.
by clicking on the zoomed-in page.
by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
by clicking on thumbnails to select pages, and then press the print button.
this publication and page.
displays a table of sections with thumbnails and descriptions.
displays thumbnails of every page in the issue. Click on a page to jump.
allows you to browse through every available issue.
GCN : June 2013
GCN JUNE 2013 • GCN.COM 27 friendly and console-driven services, data centers will become even easier to manage and operate." The impact will extend beyond data cen- ters to the "end user experience in areas including mobility, BYOD and social [me- dia]," said Anthony Robbins, vice president of federal sales for Brocade. "As virtualization takes over the entire IT infrastructure, 'as a service' will really take off, enabling all IT as a service, in particular cloud, whether public, private or hybrid," Robbins said. "Tomorrow's government worries nothing about IT, and everything about service level agreements. This will be true both in the case of providing citizen services and in support of the warfighter. The entire acquisition system in place to- day won't exist 20 years from now." In Bourgeois' vision, applications can be easily migrated between virtual data centers and even across physical envi- ronments without having to be reconfig- ured. Cloned environments for develop- ment, testing and reconstitution can be provisioned in minutes or even seconds. Moreover, the policy-driven automation capabilities of the software-defined data center will allow the fault tolerance and high availability features to be carried out automatically and across physical data centers, thereby lowering the cost and increasing the ability to meet or exceed availability requirements. "Perhaps most important, the software- defined data center will finally allow the IT organization to shift resources away from operations and towards helping the mis- sion respond to changing business needs," Bourgeois said. Bourgeois said big data would also con- tinue to affect future data centers, but in slightly different and better ways than it does today. The accumulation of data has been accelerated by the use of sensors and other data-gathering devices, and the IT industry only recently has started ad- dressing the implications of all that data, he said. "Advancements such as in-memory data processing are beginning to transform how applications and middleware technologies are developed and deployed," Bourgeois said. "Over time, data analytical systems will begin to take on features that allow them to recognize events and trends in data and carry out downstream activities in an automated fashion as a result." The users themselves, and the devices they use, will transform the data center and the way data is used. "Applications will be accessed by any mobile device and us- ing any native operating system," he said, which "paves the way for the enterprise app store to serve up applications to users that may be using smart phones, tablets or laptops regardless of the network they are using." With a software defined data center, "the enterprise IT organization can even present a different set of applications to the same user depending upon which de- vice they are using to access the app store and which network that they are access- ing," he said. All of this will be combined in what Dan- iel Kent calls the "intercloud." "The term cloud clearly embeds many technologies and business models," said Kent, director of federal solutions and CTO of the US Federal division of Cisco. "And technologies used to build out clouds are numerous. So, many streams of innovation and development will continue to add im- pact to data centers over the coming years." Cloud computing is still in its nascent stage, with a range of cloud types being built. "Over the coming years we will start to see the world of many clouds emerge," he said. "This is where agencies will lever- age dozens or even hundreds of various types of clouds that are providing specific resources to meet specific needs of the agencies." Kent's vision will require intercloud con- necters, systems that are open in nature and provide consistency in network op- erations, security, visibility and control to agencies for the resources that are hosted in another's cloud. An example would be where an agency leverages compute power in Amazon's cloud to meet a dynamic need of a program, something we are already seeing agencies such as NASA experiment with today. Kent agrees that software-defined net- working also will be transformative. "SDN is just starting to be adopted in academia and research labs and for multitenant cloud architectures," where applications can dynamically use network resources based on the application's needs. At the same time, a highly scalable network fabric is coming into play. "Put these technologies together and the notion of a highly programmable and scalable network fabric that can dynami- cally meet the needs of the applications in real time is what you will see in the fu- ture," he said. Finally, Kent sees that the future will be ruled and shaped by the increasingly popu- lar "Internet of things." Those devices are already out there, and it makes sense that data centers will have to deal with them one way or the other. "We expect to have 50 billion things connecting to networks by 2020, up from 10 billion now," he said. "As more and more devices, sensors and objects connect to the Internet and each other, it will create an enormous amount of network connections. More interesting- ly, these connected objects will collective- ly generate vast amounts of unstructured data," he said. "These billions of con- nected devices will provide a continuous stream of real-time data over the network. These large data sets will be transported, collected, aggregated and analyzed in the data centers and will create new para- digms for data center networks, comput- ing and storage." • --- DANIEL KENT, CISCO