CAPACITY PLANNING USING CAPTUREjMVSTM, BEST/ITM AND SAS
نویسندگان
چکیده
Tn this paper~ we present a method for capacity planning which illustrates the mutually complementary role~ of CAPTURE/MVS~ BEST/I and SAS. The first two of these are software products developed by BGS Systems, Inc.; they provide the ability to extract and analyze MVS measurement data, and to project the performance impacts of system or workload changes. In this study, SAS 1::; used in cunjunction with output from the BEST/l iteration facility to generate graphs that depict the performance characteristics of several proposed upgrade strategies.
منابع مشابه
Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools
If you are running a metadata server in your SAS ® 9.1.3 environment, you must upgrade your metadata when you move to SAS ® 9.2. There are two possible approaches to take. The first approach is a migration, which will essentially copy your SAS 9.1.3 environment over to SAS 9.2 as part of your SAS 9.2 installation process. The second approach is to make a fresh start by installing SAS 9.2 first,...
متن کاملSAS-TDMA: a source aware scheduling algorithm for real-time communication in industrial wireless sensor networks
Scheduling algorithms play an important role for TDMA-based wireless sensor networks. Existing TDMA scheduling algorithms address a multitude of objectives. However, their adaptation to the dynamics of a realistic wireless sensor network has not been investigated in a satisfactory manner. This is a key issue considering the challenges within industrial applications for wireless sensor networks,...
متن کاملMulti-criteria logistics distribution network design using SAS/OR
This paper explores the use of the optimization procedures in SAS/OR software with application to the contemporary logistics distribution network design using an integrated multiple criteria decision making approach. Unlike the traditional optimization techniques, the proposed approach, combining analytic hierarchy process (AHP) and goal programming (GP), considers both quantitative and qualita...
متن کاملPreference-Based Planning via MaxSAT
In this paper, we explore the application of partial weighted MaxSAT techniques for preference-based planning (PBP). To this end, we develop a compact partial weighted MaxSAT encoding for PBP based on the popular SAS planning formalism. Our encoding extends a SAS based encoding for SAT-based planning, SASE, to allow for the specification of simple preferences. To the best of our knowledge, the ...
متن کاملExploiting MaxSAT for Preference-Based Planning
In this paper, we explore the application of partial weighted MaxSAT techniques for preference-based planning (PBP). To this end, we develop a compact partial weighted MaxSAT encoding for PBP based on the SAS formalism. Our encoding extends a SAS based encoding for SAT-based planning, SASE, to allow for the specification of simple preferences. To the best of our knowledge, the SAS formalism has...
متن کامل