61130489
Object-Relational DBMSs: Tracking the Next Great Wave
From the Publisher: 
Discover why object-relational technology is ideal for supporting a broad spectrum of data types and application areas, from financial services to multimedia data. In this completely revised and updated edition, database experts Michael Stonebraker and Paul Brown explore the object-relational paradigm and examine the most recent developments in the field. Specially written for database application programmers, database analysts, and IT managers, this book includes detailed information on how to classify DBMS applications, where object-relational DBMSs fit in the database world, and what mechanisms are required to support such an engine.
209399498
The BUCKY Object-Relational Benchmark (Experience Paper).
27566577
Requirements for XML functionality in relational database management systems
The eXtensible Markup Language (XML) is an evolving data format standard designed to simplify the exchange of data between disparate information systems. As Informix is in the business of information management, we need to provide mechanisms whereby our customers can take advantage of XML as it evolves. The authors present some of the XML specific features that are available in various Informix products.
5349915
Distributed Component Database Management Systems
Publisher Summary A component database management system (DBMS) is a system software framework that application developers can extend by embedding modules of programming logic in it. These extensions implement database objects such as new data types, application-level object classes, analytic algorithms, and external data-access facilities. This chapter describes how distributed object relational database management systems (ORDBMSs) are constructed and how they can be used. Distributed component DBMSs such as ORDBMSs are useful because they address requirements that are not served well by traditional distributed systems technologies. Distributed ORDBMSs constitute a powerful, innovative model for generalized distributed computing. It is a unique technology that provides a framework for managing both logic and data in an abstract data model. This review is useful because the commercial versions of distributed ORDBMSs take such a system as a starting point and because detailed descriptions of ORDBMS internals are not widely available. Instances of these single-site ORDBMSs run on each node of the overall distributed system. Furthermore, this chapter outlines the architecture of a distributed ORDBMS and describes the modifications that are necessary for a single-site ORDBMS to operate in a distributed environment.
12789110
Interoperability, Distributed Applications and Distributed Databases: The Virtual Table Interface
Users of distributed databases and of distributed application frameworks require interoperation of heterogeneous data and components, respectively. In this paper, we examine how an extensible, objectrelational database system can integrate both modes of interoperability. We describe the Virtual Table Interface, a facility of the INFORMIX-Dynamic Server Universal Data Option, that provides simplified access to heterogeneous components and discuss the benefits of integrating data with application components.
2984369
BigSur: A System For the Management of Earth Science Data
In this paper we present a prototype system for the management of earth science data which is novel in that it takes a DBMS centric view of the the task. Our prototype -called "BigSur" -is shown in the context of its use by two geographically distributed scientific groups with demanding data storage and processing requirements. BigSur currently stores 1 Terabyte of data, about one thousandth of the volume EOSDIS must store. We claim that the design principles embodied in BigSur provide sufficient flexibility to achieve the difficult scientific and technical objectives of Mission to Planet Earth.
16124888
GORDIAN: efficient and scalable discovery of composite keys
Identification of (composite) key attributes is of fundamental importance for many different data management tasks such as data modeling, data integration, anomaly detection, query formulation, query optimization, and indexing. However, information about keys is often missing or incomplete in many real-world database scenarios. Surprisingly, the fundamental problem of automatic key discovery has received little attention in the existing literature. Existing solutions ignore composite keys, due to the complexity associated with their discovery. Even for simple keys, current algorithms take a brute-force approach; the resulting exponential CPU and memory requirements limit the applicability of these methods to small datasets. In this paper, we describe GORDIAN, a scalable algorithm for automatic discovery of keys in large datasets, including composite keys. GORDIAN can provide exact results very efficiently for both real-world and synthetic datasets. GORDIAN can be used to find (composite) key attributes in any collection of entities, e.g., key column-groups in relational data, or key leaf-node sets in a collection of XML documents with a common schema. We show empirically that GORDIAN can be combined with sampling to efficiently obtain high quality sets of approximate keys even in very large datasets.
28751129
Facilitating innovative faculty projects: an information technology perspective
The Center for Instruction, Research, and Technology (CIRT) at Indiana State University assists faculty with integration of emerging and innovative technologies into their instruction and research activities. This support ranges from High Performance Computing (HPC) to visualization services. CIRT also provides academic programming support to the University community. Additionally, one of the center's main goals is to continually explore and evaluate new and emerging technologies to support teaching, research, and student learning. This paper covers an internal grant program established by the center, the process of working with faculty on research proposals, and descriptions of several projects developed by CIRT for faculty.
107670826
Stepping stones in the mist
Publisher Summary This chapter provides an idiosyncratic and nonrigorous account of the author's work as an artist who has been involved in the field now known as artificial life for over 30 years. The title is a metaphor for the author's view as an artist, and individual. A long time ago the author stepped off the bank of a misty river or lake and onto a line of stepping stones. Now, many years later, the stepping stones are shrouded in the mist. Those behind him are dimmed by the mists of memory, and those in front are hidden by the mists of uncertainty. The one in front of him is quite clear, but then they quickly fade as they progress. The author has no idea what lies on the further bank, or indeed if such a shore even exists! Memories of the bank he left are now long eroded. The author only really knows where he is at this moment or, perhaps, where he has just been.
208943256
Programming Apache Axis
5352012
Toward Automated Large-Scale Information Integration and Discovery
The high cost of data consolidation is the key market inhibitor to the adoption of traditional information integration and data warehousing solutions. In this paper, we outline a next-generation integrated database management system that takes traditional information integration, content management, and data warehouse techniques to the next level: the system will be able to integrate a very large number of information sources and automatically construct a global business view in terms of “Universal Business Objects”. We describe techniques for discovering, unifying, and aggregating data from a large number of disparate data sources. Enabling technologies for our solution are XML, web services, caching, messaging, and portals for real-time dashboarding and reporting.