The volume of users attempting to access information simultaneously remains a challenge for cloud storage, but Virginia Polytechnic Institute and State University associate professor Ali R. Butt plans to address this issue by further developing Mizan, a high-performance and load balanced in-memory object caching storage system.
Butt wants to make the load-balancer track hotspots and apply appropriate strategies, and he says this tracking might reveal key repetitious inquiries or provide a better idea of where data is migrating. He says with this information, "we may be able to dynamically mitigate imbalances, while supporting high-performance and efficient use of resources."
Butt, who has received a NetApp Faculty Fellowship, plans to use the Amazon EC2-based cloud cluster to conduct the experiments. "The choice of this design will allow Mizan to scale up to a large number of cache nodes and scale up its performance by fully exploiting the parallelism offered by emerging massively multi-core computer architectures," he says.
From Virginia Tech News
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