To find out how to publish or submit your book proposal:
To find a journal or submit your article to a journal:
ILM
Information lifecycle management (ILM) is a comprehensive approach that involves a process and a strategy for managing data throughout its entire lifecycle. It is a new way of looking at the storage infrastructure and involves matching the business value of corporate information with appropriate retention policies and storage systems. ILM ensures that data is managed efficiently and effectively, from creation to disposal, in order to optimize its value and minimize risks.From: Data Protection [2019], CRC Handbook of Modern Telecommunications [2019]
The research on this page is brought to you by Taylor & Francis Knowledge Centers. This collection is automatically generated from our most recent books and journals on this topic.
Over the years different strategies have emerged to manage storage. For many years hierarchical storage management (HSM) has been the mainstay for large enterprise data management. The most current thinking is centered on information life cycle management (ILM). ILM is the process of managing the placement and movement of data on storage devices as they are generated, replicated, distributed, protected, archived, and eventually retired. ILM seeks to understand the value of data and migrates them across storage systems for the most costeffective access strategy. A report from Horison Information Strategies [Horison] states that enterprises need to
Understand how data should be managed and where data should reside. In particular, the probability of reuse of data has historically been one of the most meaningful metrics for understanding optimal data placement. Understanding what happens to data throughout its lifetime is becoming an increasingly important aspect of effective data management.
Residential Electrical Load Monitoring and Modeling – State of the Art and Future Trends for Smart Homes and Grids
It is widely accepted that ILM is infeasible to be implemented in large-scale applications due to the cost, installation, and communication issues. NILM has experienced slow progress in recent years, and there are even negative views on the feasibility of residential load disaggregation [137].