Parallel Architectures for Database Systems

Hurson, Ali R.; Miller, L. L.; Pakzad, S. H.

doi:10.1016/s0065-2458(08)60047-9

Cited by 35 publications

(7 citation statements)

References 58 publications

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“…Because of its increased importance, the body of research in the area of parallel databases has become a large one. As a result, several manuscripts, such as [1, 16,19], dealing with this topic have appeared recent years. In particular, [1] focuses on the architectures of various parallel database systems such as DBC/1012,NCR 3700, IDIOMS, MDBS, IFS2, and the Datacycle project.…”

Section: About This Manuscriptmentioning

confidence: 99%

Chapter 1. Introduction

2009

Washington Internships

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There has been a continuing increase in the amount of data handled by database management systems (DBMSs) in recent years. Indeed, it is no longer unusual for a DBMS to manage databases ranging in size from hundreds of gigabytes to terabytes. This massive increase in database sizes is coupled with a growing need for DBMSs to exhibit more sophisticated functionality such as the support of object-oriented, deductive, and multimediabased applications. In many cases, these new requirements have rendered existing DBMSs unable to provide the necessary system performance, especially given that many mainframe DBMSs already have difficulty meeting the I/O and CPU performance requirements of traditional information systems that service large numbers of concurrent users and/or handle massive amounts of data [13]. To achieve the required performance levels, database systems have been increasingly required to make use of parallelism. As noted in [1], the traditional approach to parallelism for conventional DBMSs which use industry-standard database models such as the relational, can take one of two forms. The first is through the use of massively parallel general-purpose hardware platforms. As an example of this, commercial platforms such as nCube and SP1 are now supporting Oracle's parallel server [5]. Also, the Distributed Array Processor marketed by Cambridge Parallel Processing is now being used to produce a commercial massively parallel database system [4]. The second approach makes use of arrays of off-the-shelf components to form custom massively parallel systems. For the most part, these hardware systems are based onMIMD parallel architectures. The NCR 3700 [1] and the Super Database Computer II (SDC-II) [27] are two such systems. The NCR 3700 uses a high-performance multistage interconnection network known as Bynet and RAIDS (Redundant Arrays of Inexpensive Disks [11]). This system can now run a parallel version of Sybase relational DBMS [5, 26]. The SDC-II consists of eight data processing modules, where each module is composed of seven processors and five disk drives. The data processing modules communicate through an omega interconnection network.

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Section: About This Manuscriptmentioning

confidence: 99%

Chapter 1. Introduction

2009

Washington Internships

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“…For both these applications the CAM needs to perform equality searches on its contents. Associative memories have often been used in the architecture of database machines [8]. The parallel search capabilities of CAMs make these devices ideally suited for the database environments [2,7,17].…”

Section: Associative Memory Applicationsmentioning

confidence: 99%

Modular Scheme for Designing Special PurposeAssociative Memories and Beyond

Hurson

Pakzad

1993

VLSI Design

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The use of associative memories—storage devices that allow data retrieval based on contents—has often been suggested to speed up the performance of many applications. Until recently, using such content-addressable memories (CAMs) was unfeasible due to their high hardware cost. However, the advent of VLSI has made the class of fully-parallel associative memory cost-effective for implementation. This paper briefly overviews design of several fully parallel associative memories proposed in the literature, concentrating on the design of fully-parallel θ-search CAMs.Existing market realities require that product development be fast and predictable. As a result, design flexibility and automation are becoming increasingly important design features. Using the various CAM designs reviewed, the paper collects the features of these designs into a general, modular CAM organization and describes its major components. The modular CAM organization can be used to design application specific CAMs of varying degrees of functionality. Design and space complexity of a sample associative memory suitable for relational database operations is studied. Finally, the application of genetic algorithms as a means to developing automated design tools for fabrication of modular VLSI design chips is discussed.Given a library of CAM modules, the desired functionality and a set of speed and area constraints, this optimization technique produces a suitable CAM design. The proposed technique has been implemented and its performance measure is briefly addressed.

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“…A great deal has been written about the utilization of database machines in or for data processing applications [HuMP89, HMPE89]. However, at this point the market remains software based with only limited penetration by machines that satisfy the typical definition given for database machines.…”

Section: Introductionmentioning

confidence: 99%

Relational database integration in the IBM AS/400

Scholerman¹,

Miller²,

Tenner³

et al. 1993

SIGMOD Rec.

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A great deal of research has been focused on the development of database machines. In parallel to this work some vendors have developed general purpose machines with database function built directly into the machine architecture. The IBM AS/400 is one of the principle examples of this approach. Designed with a strong object orientation and the basis functions of the relational database model integrated into it's architecture, the AS/400 has proved to be a commerical success. In the present work we look at the database component of the AS/400.

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Parallel Architectures for Database Systems

Cited by 35 publications

References 58 publications

Chapter 1. Introduction

Chapter 1. Introduction

Modular Scheme for Designing Special PurposeAssociative Memories and Beyond

Relational database integration in the IBM AS/400

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