Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Database Systems for Advanced Applications
This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrücken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.
Fast and Scalable Cloud Data Management
The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly diff...
Performance of Serializable Snapshot Isolation on Multicore Servers
Snapshot isolation (SI) is a widely studied concurrency control approach, with great impact in practice within platforms such as Oracle DB. Berenson et al. showed though that SI does not guarantee serializable execution; in certain situations, data consistency can be violated through concurrency between correct applications. Recently, variants of SI have been proposed, that keep the key properties such as (often) allowing concurrency between reads and updates, and that also guarantee that every execution will be serializable. One of these now ships with the PostgreSQL database system, making it the first relational database engine that supports truly serialisable SI. We have had the opportunity to use three implementations of two different algorithms of this type, all based on the InnoDB open source infrastructure, as well as the open available PostgreSQL implementation. We measure the performance attained by these implementations, on high-end hardware with a substantial number of cores. We explore the impact of the differences in algorithm, and also of the low-level implementation decisions.
Vera Röhm
Both a sculptor and a photographer, German-born Vera Röhm is best known for her unorthodox approach to visual art. Using a repertoire of only elementary geometrical shapes, Röhm's incisions, mutilations, and cross-sections of various materials evoke the very real challenges of restoration and reconstruction. Vera Röhm is the first comprehensive collection of this contemporary artist's work to be presented to an English-speaking public. It explores the changing shape of Röhm's art in such installations as Integrations and Shadow Objects, as her photographs of the Jaipur Observatory, and works such as the cube series bearing the inscription "Night is the Earth's Shadow," which form part of a significant corpus of work connected with language. Accompanied by essays from renowned poet and critic Eugen Gomringer and the art historian Stephen Bann, Vera Röhm is lavishly illustrated with images from her exhibitions.
Scalable Distributed Transactions Across Heterogeneous Stores
Modern cloud computing systems usually provide a highly scalable and fault-tolerant data store that sacrifices other features. Often, these systems may not support transactions at all or else restrict transactions to one data item each. Recently techniques to support multi-item transactions in these types of systems have been successfully developed but have focused on transactions across homogeneous data stores. However, applications often need to store different data in different storage systems perhaps for legacy or interoperability reasons. We propose an approach that enables multi-item transactions across multiple heterogeneous data stores using only a minimal set of commonly implemented features such as single item consistency, conditional updates, and the ability to store additional metadata. We define an client-coordinate transaction commitment protocol that does not rely on a central coordinating infrastructure. We implement this as a Java library, we call Cherry Garcia (CG), that supports data store abstractions to Windows Azure Storage (WAS), Google Cloud Storage (GCS) and our own high-performance key-value store called Tora.
