Add to ORKGIn this paper we identify and discuss issues that are relevant to the design and usage of databases handling massive amounts of data in parallel environments. The issues that are tackled include the placement of the data in the memory, file systems, concurrent access to data, effects on query processing, and the implications of specific machine architectures. Since not all parameters are tractable in rigorous analysis, results of performance and bench-marking studies are highlighted for several systems
In this paper, we study the data placement problem from a reorganization point of view. Effective...
Recent studies have demonstrated that significant I/O operations are performed by a number of differ...
Managing and efficiently analysing the vast amounts of data produced by a huge variety of data sourc...
Effective high-level data management is becoming an important issue with more and more scientific a...
Euro-Par Topic 5 addresses data management issues in parallel and distributed computing. Advances in...
Abstract—Effective high-level data management is becoming an important issue with more and more scie...
. Parallel database systems are generally recognised as one of the most important application areas ...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
Distributed and parallel database technology has been the subject of intense research and developmen...
Timely and cost-effective analytics over "big data" has emerged as a key ingredient for success in m...
This research project will be focused on parallel processing as it is used with database management ...
Abstract—Growing main memory capacity has fueled the development of in-memory big data management an...
Thesis (Ph.D.)--University of Washington, 2016-08Applications in data science rely on two computing ...
The deployment of efficient information systems has become a necessity for the success of any corpo...
Dynamic load balancing is a prerequisite for effectively utilizing large parallel database systems. ...
In this paper, we study the data placement problem from a reorganization point of view. Effective...
Recent studies have demonstrated that significant I/O operations are performed by a number of differ...
Managing and efficiently analysing the vast amounts of data produced by a huge variety of data sourc...
Effective high-level data management is becoming an important issue with more and more scientific a...
Euro-Par Topic 5 addresses data management issues in parallel and distributed computing. Advances in...
Abstract—Effective high-level data management is becoming an important issue with more and more scie...
. Parallel database systems are generally recognised as one of the most important application areas ...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
Distributed and parallel database technology has been the subject of intense research and developmen...
Timely and cost-effective analytics over "big data" has emerged as a key ingredient for success in m...
This research project will be focused on parallel processing as it is used with database management ...
Abstract—Growing main memory capacity has fueled the development of in-memory big data management an...
Thesis (Ph.D.)--University of Washington, 2016-08Applications in data science rely on two computing ...
The deployment of efficient information systems has become a necessity for the success of any corpo...
Dynamic load balancing is a prerequisite for effectively utilizing large parallel database systems. ...
In this paper, we study the data placement problem from a reorganization point of view. Effective...
Recent studies have demonstrated that significant I/O operations are performed by a number of differ...
Managing and efficiently analysing the vast amounts of data produced by a huge variety of data sourc...