Evaluation Criteria for Self-Management in DBMSs

As computing systems continue to grow in size and complexity, the need for self-management is becoming more prevalent. The difficulty and cost associated with the maintenance of large scale systems means that there needs to be a paradigm shift towards systems that manage themselves according to high-level policies. Furthermore, these complex large-scale systems typically require intensive data management and this has led to database management systems that incorporate features such as self-configuration, self-optimization, selfprotection, and self-healing. This paper proposes criteria for evaluating self-management features in database management systems and uses those criteria to evaluate the self-management features in popular databases such as DB2, SQL Server, Oracle 10g, Teradata and Sybase ASE.

• Type: Conference
• Year: 2007
• Where: EISWT
• Authors: Armando Barreto, Ben Wongsaroj, Tariq M. King, Tuan Cameron, Suzette V. Diaz, Joseph Cilli, Abdul Muqueet, Sean D. Bullard, Malek Adjouadi, Ouri Wolfson, Scott Graham, Naphtali Rishe
• Keywords: Database Management Systems, EISWT 2007, Internet Technology, Large Scale Systems, Self-management Features