Timely and cost-efficient data exploration through adaptive tuning
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Query processing in traditional Database Management Systems (DBMS) has been extensively studied in the literature and adopted in industry. Such success is, in part, due to the performance of their Query Execution En-gines (QEE) for supporting the execution ...
Current cluster architectures provide the ideal environment to run federations of main-memory database systems (FMMDBs). In FMMDBs, data resides in the main memory of the federation servers, significantly improving performance by avoiding I/O during the ex ...
A common requirement of many scienti c applications is the ability to process queries involving expensive predicates corresponding to user programs. Optimizing such queries is hard because static cost predictions and statistical estimates are not applicabl ...
The needs for run-time data storage in modern wired and wireless network applications are increasing. Additionally, the nature of these applications is very dynamic, resulting in heavy reliance to dynamic memory allocation. The most significant problem in ...
Today’s storage interfaces hide device-specific details, simplifying system development and device interoperability. However, they prevent database systems from exploiting devices’ unique performance characteristics. Abstract and device-independent annotat ...
In many large companies the widespread usage of computers has led a number of different application-specific databases to be installed. As company structures evolve, boundaries between departments move, creating new business units. Their new applications w ...
The main objective of this paper is to present a flexible annotation management framework for a multimedia database system, applied to meeting recordings. Presented research and development activities are carried out within the scope of the IM2 project in ...
Recent studies have shown that the hardware behavior of database workloads is suboptimal when compared to scientific workloads, and have identified the processor and memory subsystem as the true performance bottlenecks, when running decision-support worklo ...