A multi-backend database system for performance gains, capacity growth and hardware upgrade

Traditional database systems have long been plagued by performance problems when there is either an increase in the mainframe usage or in the database applications. Solutions to these problems have been sought, first, by offloading the database system from the mainframe computer to a single, dedicated backend computer. The backend computer has its own disk storage, is used to perform all of the database operations, and interacts with the mainframe. However. database systems with this software single-backend approach still encounter the performance problems when either the backend usage or database applications increase. The software multiple-backend approach to database management and hardware upgrade is therefore proposed to overcome the performance-gains and capacity-growth problems of either traditional mainframe-based database systems or conventional software single-backend database systems. In this paper we specify the design requirements and issues of the software multi-backend database systems. We show how these requirements and issues affect the design and implementation of a multi-backend database system known as MBDS. Since MBDS is designed specifically for performance gains, capacity growth, and hardware upgrade, we benchmark MBDS in order to verify whether its design and implementation can indeed relate the gains and growth directly to the multiplicity of backends in terms of the response-time reduction and invariance.

[1]  Jayanta Banerjee,et al.  Performance Study of a Database Machine in Supporting Relational Databases , 1978, VLDB.

[2]  James B. Rothnie,et al.  Attribute based file organization in a paged memory environment , 1974, CACM.

[3]  David K. Hsiao,et al.  A Message-Oriented Implementation of a Multi-Backend Database System (MDBS) , 1983, IWDM.

[4]  David K. Hsiao,et al.  The implementation of a multi-backend database system (MDBS): Part IV, The revised concurrency control and directory management processes and the revised definitions of inter-process and inter-computer messages , 1984 .

[5]  David K. Hsiao,et al.  Performance measurement methodologies for database systems , 1985, ACM '85.

[6]  Ali Orooji,et al.  The Implementation of a Multi-Backend Database System (MDBS). Part I. Software Engineering Strategies and Efforts Towards a Prototype MDBS. , 1983 .

[7]  Frank Harary,et al.  A formal system for information retrieval from files , 1970, Commun. ACM.

[8]  Paula R. Strawser A methodology for benchmarking relational database machines , 1984 .

[9]  David K. Hsiao,et al.  Performance Evaluation of a Database System in Multiple Backend Configurations , 1985, IWDM.

[10]  Evan L. Ivie,et al.  A back-end computer for data base management , 1974, CACM.

[11]  David K. Hsiao,et al.  The Implementation of a Multi-Backend Database System (MDBS). Part 3. The Message-Oriented Version with Concurrency Control and Secondary-Memory-Based Directory Management. , 1983 .

[12]  Eugene Wong,et al.  Canonical structure in attribute based file organization , 1971, CACM.