In this paper, an effective index structure for dynamic main memory database systems, which we call the T(2)- tree, is presented. A notion of a thread pointer is introduced to overcome some of the limitations of the T-tree and the T*-tree. There are several advantages to this structure. First, the T(2)-tree reduces the number of rotate operations and the overhead required for balancing the tree by restraining new node creation and deletion. Second, the T(2)-tree shows good performance for sequential search of range queries as these requests can be effectively handled using the successor pointer. Finally, the T(2)-tree allows for higher space utilization amplicating the aforementioned benefits. These advantages are obtained with minimal chan...
Over the past few years, various indexes have been redesigned for byte-addressable persistent memory...
Managing digital information is an integral part of our society. Efficient access to data is support...
As memory becomes cheaper and larger in capacity, more and more databases are being stored entirely ...
While the B-tree (or the B+-tree) is the most popular index structure in disk-based relational datab...
Database systems research is an old and well-established field in computer science. Many of the key ...
Emerging communication and sensor technologies enable new applications of database technology that r...
access method, cache consciousness, data locality, data structure, main-memory database The recent h...
Abstract: Efficient data structures for in-memory indexing gain in importance due to (1) the exponen...
Emerging communication and sensor technologies enable new applications of database technology that r...
Modern computer architectures provide high performance computing capability by having multiple CPU c...
Growing main memory capacities and an increasing number of hardware threads in modern server systems...
Abstract We discuss advantage and disadvantage in use of indexes in a main memory database using a f...
We study indexing techniques for main memory, including hash indexes, binary search trees, T-trees, ...
Abstract. In multimedia databases, the spatial index structures based on trees (like R-tree, M-tree)...
Recent research shows that the database performance can be significantly improved by the effective c...
Over the past few years, various indexes have been redesigned for byte-addressable persistent memory...
Managing digital information is an integral part of our society. Efficient access to data is support...
As memory becomes cheaper and larger in capacity, more and more databases are being stored entirely ...
While the B-tree (or the B+-tree) is the most popular index structure in disk-based relational datab...
Database systems research is an old and well-established field in computer science. Many of the key ...
Emerging communication and sensor technologies enable new applications of database technology that r...
access method, cache consciousness, data locality, data structure, main-memory database The recent h...
Abstract: Efficient data structures for in-memory indexing gain in importance due to (1) the exponen...
Emerging communication and sensor technologies enable new applications of database technology that r...
Modern computer architectures provide high performance computing capability by having multiple CPU c...
Growing main memory capacities and an increasing number of hardware threads in modern server systems...
Abstract We discuss advantage and disadvantage in use of indexes in a main memory database using a f...
We study indexing techniques for main memory, including hash indexes, binary search trees, T-trees, ...
Abstract. In multimedia databases, the spatial index structures based on trees (like R-tree, M-tree)...
Recent research shows that the database performance can be significantly improved by the effective c...
Over the past few years, various indexes have been redesigned for byte-addressable persistent memory...
Managing digital information is an integral part of our society. Efficient access to data is support...
As memory becomes cheaper and larger in capacity, more and more databases are being stored entirely ...