DocumentCode
1973200
Title
Measuring and Applying Service Request Effort Data in Application Management Services
Author
Ying Li ; Katircioglu, Kaan
Author_Institution
IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
2013
fDate
June 28 2013-July 3 2013
Firstpage
352
Lastpage
359
Abstract
In Application Management Services (AMS), high resource utilization, effective resource planning and optimal assignment of service requests to resources are critical to success. Meeting these objectives requires a systematic and repeatable approach for determining the best way of measuring resource utilization, assessing workload and assigning service requests. In this paper, we present a two-step approach to help achieve the above objectives. We first measure the actual amount of effort that each resource spends on handling each service request (SR) based on a metadata model and a set of SR handling priority rules. Then, we proceed to measure resource utilization and assess SR assignment process based on the effort data calculated in step one.
Keywords
business data processing; meta data; resource allocation; AMS; SR assignment process; SR handling priority rules; application management services; metadata model; optimal service request assignment; resource planning; resource utilization; service request effort data; Conferences; AMS; application management services; resource planning; resource utilization; service request assignment; service request effort; service requests;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing (SCC), 2013 IEEE International Conference on
Conference_Location
Santa Clara, CA
Print_ISBN
978-0-7695-5026-8
Type
conf
DOI
10.1109/SCC.2013.64
Filename
6649715
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