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
         
        
        
            fDate : 
June 28 2013-July 3 2013
         
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Services Computing (SCC), 2013 IEEE International Conference on
         
        
            Conference_Location : 
Santa Clara, CA
         
        
            Print_ISBN : 
978-0-7695-5026-8
         
        
        
            DOI : 
10.1109/SCC.2013.64