A revolution is in the offing for one of the most time-honored and familiar IT rituals: data backup. As Digital Business continues to multiply the volume of incoming data, the average enterprise backup has reached a petabyte or more in scale.
This is not an audience of trade show tire-kickers but one of supercomputing specialists who continuously push technology to its limits to solve some of the greatest scientific challenges.
Global Enterprise Cloud fully leverages the flexibility of Software-defined Storage and enables companies to replace storage silos with a single, scalable storage system that supports mixed workloads for multiple applications. Over the past decade, enterprise data centers have evolved into complex environments, designed to serve multiple workloads that include shared file storage, backup & archiving, compute virtualization, B2C cloud offerings and many legacy applications. Running such heterogeneous storage environments is inefficient and puts a heavy burden on the storage TCO.
In the early dates of computer use, time was shared on – often a single – very expensive resource and serial processing was the norm. Current technologies and computing have become increasingly parallel and distributed, however: by running processes in parallel, more complex computation can be done. But this is harder than it looks and the HPC community is having a hard time keeping its promises. The exceptions to this are called “Embarrassingly Parallel problems” such as Genomics simulations, Biology, Electronics problems etc. The industry is realizing more and more that algorithms will need to be changed to promote distributed computing and.
The cloud-computing paradigm has disrupted the technology landscape by changing how we build and consume technology. Google, Amazon, and other advanced service providers are powering this accelerated pace with a new model of IT: one based entirely on standard servers, powered by independent software, where the infrastructure is a utility at the service of applications through programmatic interfaces. Web application and cloud service providers are now deploying similar architectures. Web application providers at scale want the operational cost benefit of deploying their own infrastructure instead of paying the hidden cost of public cloud services. Cloud service providers need to expand their.
Content Distribution (or Content Delivery) refers to providing digital data to geographically distributed end users. Content Distribution can be in support of scale-out web applications or for digital media streaming services, including new non-linear content distribution models such as NDVR/NPVR and VoD. Key in the delivery of much of digital data is the service provided by Content Distribution Networks (CDNs). The architecture of a CDN, described in the simplest form, consists of two essential storage components: Origin Servers, which contain all the data, and Edge Servers, which are smaller faster servers, deployed closer to users and serve as a cache. Origin.