Lan Huang, Windsor W. Hsu, et al.
MSST 2006
One of the principal problems in Information Lifecycle Management (ILM) is to align the business value of data with the most cost-effective and appropriate storage infrastructure. In this paper, we present ACE: a framework of tools for ILM, that classifies data and storage resources, and generates a data placement plan for informed utilization of the available storage resources in the system. The goal of ACE is to design a data placement plan that provides cost benefits to an organization while allowing efficient access to all important data. To achieve this goal, ACE uses a policy-based approach to classify data and storage based on the metadata attributes and hardware capabilities respectively. The main advantage of using ACE is that it enables appropriate usage of under-utilized storage systems without extensive human intervention. Another key characteristic of ACE is that it uses a policy-based architecture to automate the process of data valuation and storage classification.
Lan Huang, Windsor W. Hsu, et al.
MSST 2006
Michael Factor
MSST 2006
Li Yin, Sandeep Uttamchandani, et al.
MSST 2006
Li Yin, Sandeep Uttamchandani, et al.
USENIX ATC 2006