“Slagter remarked that a cloud environment meant at least three actors had both practical and legal responsibility in keeping data private and secure: the cloud provider itself was responsible for the physical security of the building where the servers were located as well as the security protocols used; the ISV had responsibility for the security of the application that was being run; and the customer had to have a set of security policies and procedures governing who had access to the portal into the cloud and who was licensed, within the customer’s own company, to use the application software and access the data.”
In this video from the 2014 HPC User Forum in Seattle, Charlie Gonzales from IBM presents: The IBM Platform Cloud Service.
“The independent software vendors, which make the programs that scientists and engineers would like to use in the cloud, are not sure how they can license their software for such an environment. As Felix Wolfheimer of CST remarked, in a moment of candor: “There is a lot of fear in the sales department about opening up the licensing model’ so that software licenses will be flexible enough for use in the cloud.”
“Expanding access, new data intensive workloads – researchers, engineers, designers would like to have efficient technical computing facilities with maximum flexibility. But not any cloud would do – providing key technology on the performance, system and solution side is the foundation of democratized access to simulation. In this presentation we will show how technology drives flexible compute models for HPC, and also have some considerations and examples of what we are doing with the ecosystem like cloud service providers and software vendors today and tomorrow – with a special view on the manufacturing segment – to enable the best of both worlds: HPC/Cloud to match your access, workload and budget to the best option.”
“One important recent technological development might have the power to change the world of HPC cloud: UberCloud Containers. The UberCloud started in mid-2013 using an open platform, called Docker, that can package an application and its dependencies in a virtual container that runs on any modern Linux server. The UberCloud enhanced Docker to suit it for technical computing applications in science and engineering.”
One of the best ways to realize the full performance benefits of virtualization is to make it available through a private cloud. The VMware vCloud Suite realizes operational efficiency through policy-driven operations. By providing simplified operations management, the cloud solution drives greater resource utilization and staff productivity.
As more applications and computing resources move to the cloud, enterprises will become more dependent on cloud vendors, whether the issue is access, hosting, management, or any number of other services. Even in today’s IT environment, cloud consumers want to avoid vendor lock-in—having only one cloud provider. They want to know that they will have visibility into data and systems across multiple platforms and providers.
“High Performance Computing allows scientists and engineers to solve complex science, engineering, and business problems using applications that require high bandwidth, low latency networking, and very high compute capabilities. AWS allows you to increase the speed of research by running HPC in the cloud and to reduce costs by providing Cluster Compute or Cluster GPU servers on-demand without large capital investments.”
The software defined data center is the underlying data center architecture that allows most IT infrastructure to be defined in software and to function as enterprise-wide resources. This approach enables ITaaS to be delivered in a virtualized environment with greater agility, speed and quality of service.