As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
The discovery of high-level long-term system behavior patterns is essential for several tasks such as system analysis, performance tuning, adaptive data placement in a cloud data centers. This paper describes techniques for mining long-term activities from database query logs. We describe algorithms for extraction of query groups with similar occurrence patterns, identification of periodic groups, and experimentally evaluate the correspondence of the query groups with business processes in the system.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.