Title :
Analyzing user behavior from server logs for improved virtualization management
Author :
Prangchumpol, D. ; Sanguansintukul, S. ; Tantasanawong, P.
Author_Institution :
Fac. of Sci., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Many organizations are shifting to virtualization of servers to improve operational efficiency and reduce capital expenditures. Virtualization helps consolidate servers, improve hardware utilization and reduce the consumption of power and physical space in the data center. However, the problem of tuning dynamic resource allocation is a novelty. Managing heterogeneous workloads running within virtual machines is an interesting and challenging topic of server virtualization. This paper presents an analysis of trending user access and their data size requirements, both of which are meaningful for virtualization management. The results suggest that user behaviors are different in terms of workload, day and time of usage. The data size requested by users also differs across time periods. This preliminary study may offer an approach to improve management of data centers running heterogeneous workloads using server virtualization.
Keywords :
operating systems (computers); resource allocation; virtual machines; data size requirement; dynamic resource allocation; hardware utilization; server log; server virtualization; user behavior analysis; virtual machine; virtual operating system; virtualization management; Costs; Data mining; File servers; Hardware; Load management; Natural language processing; Platform virtualization; Resource management; Technology management; Virtual machining;
Conference_Titel :
Natural Language Processing, 2009. SNLP '09. Eighth International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-4138-9
Electronic_ISBN :
978-1-4244-4139-6
DOI :
10.1109/SNLP.2009.5340943