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We recently presented a highly advantageous DCN architecture that supports on-demand, run-time topology malleability using WDM and optical space/wavelength switching technologies. We further investigate some implementation-related issues including scalability, hop-by-hop latency and optical power budget.
One of the working requirements for many data access applications is the availability of the most updated information. In wireless communications service networks, remote data access consumes expensive wireless spectrum. An efficient cache can reduce the data access cost, by cutting down the amount of data transferred over the wireless channels. However, deploying an efficient cache in wireless environment...
We present the design and implementation of ENDEAVOUR - a framework for integrated end-to-end disaster recovery (DR) planning. Unlike existing research that provides DR planning within a single layer of the IT stack (e.g. storage controller based replication), ENDEAVOUR can choose technologies and composition of technologies across multiple layers like virtual machines, databases and storage controllers...
We introduce the coupled placement problem for modern data centers spanning placement of application computation and data among available server and storage resources. While the two have traditionally been addressed independently in data centers, two modern trends make it beneficial to consider them together in a coupled manner: (a) rise in virtualization technologies, which enable applications packaged...
We describe the design of an agile data center with integrated server and storage virtualization technologies. Such data centers form a key building block for new cloud computing architectures.We also show how to leverage this integrated agility for non-disruptive load balancing in data centers across multiple resource layers - servers, switches, and storage. We propose a novel load balancing algorithm...
As storage deployments within enterprises continue to grow, there is an increasing need to simplify and automate. Existing tools for automation rely on extracting information in the form of device models and workload patterns from raw performance data collected from devices. This paper evaluates the effectiveness of applying such information extraction techniques on real-world data collected over...
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