scholarly journals HEURISTIC ALGORITHM FOR FRAGMENTATION AND ALLOCATION IN DISTRIBUTED OBJECT ORIENTED DATABASE

2016 ◽  
Vol 32 (1) ◽  
pp. 47-60
Author(s):  
Nga Thúy Mai

Class fragmentation and allocation is an important technique to improve the performance of a distributed object oriented database system. The class fragmentation is to split a class into smaller pieces in distributed databases aims to reduce the access to unnecessary data, the allocation is to locate fragmented classes into the sites in the connected network properly to reduce the cost of data transmission. Classes in object databases include attributes describing the characteristics of the object, methods describing the behavior, and relationships with objects with other classes, including relations inheritance. With such characteristics, class fragmentation and allocation in the distributed object oriented database system is more complex than fragmentation technique and design of relational databases. Fragmentation techniques applied in the design of distributed object-oriented database today often do not use cost between the sites, fragments are allocated to the site after getting a fragmentation method of data objects. This paper proposes an algorithm of fragmentation and allocation simultaneously, including the cost of data communication between the sites used for fragmentation to reduce communication costs when processing and querying distributed data.

Author(s):  
YUN BAI ◽  
YAN ZHANG

In this paper, we propose a formal approach of Artificial Intelligence (AI) in securing object oriented database systems. We combine the specification of object oriented database with security policies and provide its formal syntax and semantics. The properties in the inheritance of authorizations in object oriented database system and reasoning about authorizations on data objects are also investigated in detail.


1991 ◽  
Vol 9 (1) ◽  
pp. 31-51 ◽  
Author(s):  
Won Kim ◽  
Nat Ballou ◽  
Jorge F. Garza ◽  
Darrell Woelk

2009 ◽  
pp. 1127-1150
Author(s):  
Theresa Beaubouef ◽  
Frederick E. Petry

This chapter discusses ways in which rough-set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in the design and uerying of databases, because roughsets are a versatile theory, theories. The authors discuss the rough relational databases model, the rough object-oriented database model, and fuzzy set and intuitionistic set extensions to each of these models. Comparisons and benefits of the various approaches are discussed, illustrating the usefulness and versatility of rough sets for uncertainty management in databases.


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