Simulating computer systems: techniques and tools
Simulating computer systems: techniques and tools
Concurrency control performance modeling: alternatives and implications
ACM Transactions on Database Systems (TODS)
Capacity planning and performance modeling: from mainframes to client-server systems
Capacity planning and performance modeling: from mainframes to client-server systems
DoD legacy systems: reverse engineering data requirements
Communications of the ACM
Automated support for legacy code understanding
Communications of the ACM
Using an enabling technology to reengineer legacy systems
Communications of the ACM
Migrating legacy systems: gateways, interfaces & the incremental approach
Migrating legacy systems: gateways, interfaces & the incremental approach
Computer architecture (2nd ed.): a quantitative approach
Computer architecture (2nd ed.): a quantitative approach
Y2K risk management: contingency planning, business continuity, and avoiding litigation
Y2K risk management: contingency planning, business continuity, and avoiding litigation
Planning the Reengineering of Legacy Systems
IEEE Software
Realities of Off-Shore Reengineering
IEEE Software
IEEE Software
DEXA '95 Proceedings of the 6th International Conference on Database and Expert Systems Applications
Performance evaluation for software migration
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
| Hi-index | 0.00 |
Many organizations have a number of mission-critical systems that are out-of-date, but that are essential to their activities and cannot be discontinued. This problem is known as the Legacy System Dilemma, and it is usually solved by the migration of the existing systems to a completely new environment. Although there are many strategies and tools to perform this migration, no methods are available for evaluating the performance of the new system before its migration has been completed. This paper presents CAPPLES, a capacity planning and performance analysis method for the migration of legacy systems. A real case study is presented where CAPPLES was successfully applied to predict the behaviour of a new version of a mission-critical legacy system. Details of how to use CAPPLES, such as the characterisation of the synthetic workload and the simulation of the new system, are also provided.