Beschreibung
This work presents a research study of cloud flash caching considering three aspects. First, it presents a thorough study of different cache configurations including a new cache-optimized RAID configuration using a large amount of long-term traces collected from real-world public and private clouds. Second, it studies an on-demand flash cache management solution for meeting VM cache demands and minimizing device wear-out. It uses a new cache demand model Reuse Working Set (RWS) to capture the data with good temporal locality, and uses the RWS size (RWSS) to model a workloads cache demand. Finally, to handle situations where a cache is insufficient for VMs demands, it employs dynamic cache migration to balance cache load across hosts by live migrating cached data along with the VMs.
Autorenporträt
Dulcardo Arteaga obtained his Ph.D. in Computer Sciences at Florida International University (FIU) under the supervision of Dr. Ming Zhao in the Virtualized Infrastructure, Systems and Applications (VISA) Laboratory. Dulcardo's research focus is in block-level caching and virtualization.
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OmniScriptum SRL
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