The PRISMA project is a large-scale research effort in the design and implementation of a highly parallel machine for data and knowledge processing. The PRISMA database machine is a distributed, main-memory database management system implemented in an object-oriented language that runs on top of a multi-computer system. A prototype that is envisioned consists of 64 processing elements.

In [4], we gave FPgrowth*, FPmax* and FPclose for mining all, maximal and closed frequent itemsets, respectively. In this short paper, we describe two approaches for improving the main memory consumptions of FPmax* and FPclose. Experimental results show that the two approaches successfully reduce the main memory requirements of the two algorithms, and that in particular one of the approaches do...

With the number of high-density servers in data centers rapidly increasing, power capping with performance optimization has become a key challenge to gain a high return on investment by accommodating the maximized number of servers allowed by the limited power supply and cooling facilities. Various power capping solutions have been recently proposed for high-density servers and different compon...

An emerging class of database applications is characterized by frequent updates of low-dimensional data, e.g. coming from sensors that sample continuous real world phenomena. Traditional persistency requirements can be weakened in this setting of frequent updates, emphasizing a role of the main-memory in external storage index structures and enabling a higher update throughput. Moreover, in ord...

We firstly suggest privacy protection cache policy applying the duty to delete personal information on a hybrid main memory system. This cache policy includes generating random data and overwriting the random data into the personal information. Proposed cache policy is more economical and effective regarding perfect deletion of data.

Recent years have seen a surge in main-memory SQL-style analytic solutions to quickly deliver business critical information over massive data sets [1, 7, 14]. At the same time, there is an arms race to offer increasingly sophisticated statistical analytics inspired by the success of web search, voice recognition, and image analysis, e.g., Google Brain [8], Facebook [6], and Microsoft's Adam [2]...

In this demonstration, we show the performance and the salient architectural features of HYRISE, a main memory hybrid database system. The HYRISE engine automatically partitions tables into vertical partitions of varying widths depending on how the columns of the table are accessed. Using a highly accurate model of cache misses, HYRISE is able to predict the performance of different partitionin...

This paper extends the concepts of the distributed linear hashed main memory file system with the objective of supporting higher level parallel dambase operations. The basic distributed linear hashing technique provides a high speed hash based dynamic file system on a NUMA atchitecture multi-processor system. Distributed linear hashing has been extended to include the ability to perform high sp...

In veri cation by explicit state enumeration a randomly accessed state table is maintained. In practice, the total main memory available for this state table is a major limiting factor in veri cation. We describe a version of the explicit state enumeration veri er Mur' that allows the use of magnetic disk instead of main memory for storing almost all of the state table. The algorithm avoids cos...