Semantic concurrency control in object-oriented database systems

Muth, P.; Rakow, Thomas C.; Weikum, Gerhard; Brössler, Peter; Hasse, Christof

doi:10.1109/icde.1993.344059

Cited by 43 publications

(20 citation statements)

References 21 publications

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“…Once again, in Figure 1, two different instance objects vehicles may share the same instance object company in an underlying nested object hierarchy. Thus, methods on different objects may not commute [16]. The RSO (also called non-disjoint complex object) is a fundamental concern of OODB since new objects may be composed of existing objects in modular design as indicated in [17].…”

Section: Nested Methods Invocationmentioning

confidence: 99%

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Development of a Concurrency Control Technique for Multiple Inheritance in Object-Oriented Databases

Jun¹,

Hong²

2014

Journal of Korean Society for Internet Information

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Currently many non-traditional application areas such as artificial intelligence and web databases require advanced modeling power than the existing relational data model. In those application areas, object-oriented database (OODB) is better data model since an OODB can providemodeling power as grouping similar objects into class, and organizing all classes into a hierarchy where a subclass inherits all definitions from its superclasses.The purpose of this paper is to develop an OODB concurrency control scheme dealing with multiple inheritance. The proposed scheme, called Multiple Inheritance Implicit Locking (MIIL), is based on so-called implicit locking. In the proposed scheme, we eliminate redundant locks that are necessary in the existing implicit locking scheme. Intention locks are required as the existing implicit locking scheme. In this paper, it is shown that MIIL has less locking overhead than implicit locking does. We use only OODB inheritance hierarchies, single inheritance and multiple inheritance so that no additional overhead is necessary for reducing locking overhead.

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Section: Nested Methods Invocationmentioning

confidence: 99%

“…For example, in Figure 2, an object vehicle can consist of three atomic objects (i.e., id, color, and drivetrain) and a complex object manufacturer. It is natural that, in OODBs, each class can define its own method and a method on a class can invoke another method on its subobject (also called nested method invocation) [16].…”

Section: Nested Methods Invocationmentioning

confidence: 99%

Development of a Concurrency Control Technique for Multiple Inheritance in Object-Oriented Databases

Jun¹,

Hong²

2014

Journal of Korean Society for Internet Information

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“…By defining appropriate transactions and transaction boundaries there is some flexibility in governing the behavior of the database system when multiple users access and change the same documents simultaneously. In VODAK, additionally, the concept of semantic concurrency control (Muth et al 1992, Muth et al 1993 allows to exploit the semantics of operations, which for the previous arguments is known to the DBMS, in order to increase concurrency. However, the role of the DBMS is restricted to isolate users from each other and to maintain consistency under all circumstances.…”

Section: Introductionmentioning

confidence: 99%

Flexible Design and Efficient Implementation of a Hypermedia Document Database System by Tailoring Semantic Relationships

Wäsch

Aberer

1997

Database Applications Semantics

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In this paper we present the design concepts and data modeling approach that was used to define a general application framework for storing hypermedia documents in the object-oriented database management system VODAK. We exploit the capabilities of the VODAK data model to introduce new hypermedia modeling primitives at the meta level. We show that representing the hypermedia semantics within the DBMS in this way is clearly advantageous for efficiency of the design and implementation of hypermedia document storage engines. As an example, we give a concrete realization of a DBMS-based hypermedia engine for the SEPIA hypermedia authoring system developed at GMD-IPSI. With this example we show that the data model extensions provided are flexible enough to represent also complex semantic hypermedia concepts, that the development cycle of a hypermedia engine can become extremely fast and that the resulting implementation has adequate performance for interactive applications.

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“…Each level is provided with a level speci®c recovery mechanism. This model has also been studied in the framework of object oriented databases in Muth et al (1993) and Resende et al (1994).…”

Section: Open Nested Transaction Modelmentioning

confidence: 99%

An open and safe nested transaction model: concurrency and recovery

Madria

Maheshwari

Chandra

et al. 2000

Journal of Systems and Software

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In this paper, we present an open and safe nested transaction model. We discuss the concurrency control and recovery algorithms for our model. Our nested transaction model uses the notion of a recovery point subtransaction in the nested transaction tree. It incorporates a prewrite operation before each write operation to increase the potential concurrency. Our transaction model is termed``open and safe'' as prewrites allow early reads (before writes are performed on disk) without cascading aborts. The systems restart and buer management operations are also modeled as nested transactions to exploit possible concurrency during restart. The concurrency control algorithm proposed for database operations is also used to control concurrent recovery operations. We have given a snapshot of complete transaction processing, data structures involved and, building the restart state in case of crash recovery. Ó

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Semantic concurrency control in object-oriented database systems

Cited by 43 publications

References 21 publications

Development of a Concurrency Control Technique for Multiple Inheritance in Object-Oriented Databases

Development of a Concurrency Control Technique for Multiple Inheritance in Object-Oriented Databases

Flexible Design and Efficient Implementation of a Hypermedia Document Database System by Tailoring Semantic Relationships

An open and safe nested transaction model: concurrency and recovery

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