scholarly journals Real-time decentralized information processing and returns to scale

2001 ◽  
Vol 17 (3) ◽  
pp. 545-575 ◽  
Author(s):  
Timothy Van Zandt ◽  
Roy Radner
2020 ◽  
Vol 21 (3) ◽  
pp. 296-302
Author(s):  
A. V. Aab ◽  
◽  
P. V. Galushin ◽  
A. V. Popova ◽  
V. A. Terskov ◽  
...  

1995 ◽  
Vol 30 (11) ◽  
pp. 60-69
Author(s):  
Filip Thoen ◽  
Marco Cornero ◽  
Gert Goossens ◽  
Hugo De Man

Author(s):  
Antonio Sarasa-Cabezuelo

The appearance of the “big data” phenomenon has meant a change in the storage and information processing needs. This new context is characterized by 1) enormous amounts of information are available in heterogeneous formats and types, 2) information must be processed almost in real time, and 3) data models evolve periodically. Relational databases have limitations to respond to these needs in an optimal way. For these reasons, some companies such as Google or Amazon decided to create new database models (different from the relational model) that solve the needs raised in the context of big data without the limitations of relational databases. These new models are the origin of the so-called NonSQL databases. Currently, NonSQL databases have been constituted as an alternative mechanism to the relational model and its use is widely extended. The main objective of this chapter is to introduce the NonSQL databases.


2011 ◽  
Author(s):  
Shiuan Huei Lin ◽  
Vera Marinova ◽  
Ren Chung Liu ◽  
Ken Y. Hsu

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