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Paradigm Shift to New DBMS Architectures: Research Issues and Market Needs

Moore’s law has driven CPU power and memory capacity to grow million times since the system R and Ingres projects started thirty years ago. The underlying software technology has also changed substantially. Today, operating systems support POSIX lightweight multithread library and virtually infinite address for efficient utilization of multiprocessor systems with very large memory. Despite these dramatic advances in underlying hardware and software, the initial RDBMS architecture of managing data and indexes as disk-resident block structures remains the same. The heavyweight process architecture is still dominant, incurring costly context switch overhead among multiple processes involved in transaction execution. Typical commercial RDBMS implementations involve several millions of lines of complex code that has been evolving over decades. Because it is extremely risky to overhaul any software of this size, commercial RDBMS implementations are likely to maintain the current, disk-resident heavyweightprocess architecture. On the application side, there is growing demand for real-time acquisition and analysis of a large volume of data, especially, continuously arriving stream data. Examples are traditionally found in financial services, telecom, defense and intelligence, logistics, and this list is being expanded to include other domains such as supply chain and retail with the development of RFID technology for ubiquitous tracking of physical objects. These so-called real-time enterprise applications demand