scholarly journals Geographically distributed data should be analyzed with spatial epidemiologic methods

Cancer ◽  
2019 ◽  
Vol 126 (6) ◽  
pp. 1161-1162
Author(s):  
Elizabeth Garrett‐Mayer
Keyword(s):  
Epidemiologic Methods ◽  
Distributed Data ◽  
Geographically Distributed

scholarly journals Atmosphere channel for “last mile problem” in quantum communication

2019 ◽  
Vol 220 ◽  
pp. 01006
Author(s):  
I.Z. Latypov ◽  
D.O. Akat’ev ◽  
V.V. Chistyakov ◽  
M.A. Fadeev ◽  
A.K. Khalturinsky ◽  
...  
Keyword(s):  
Data Protection ◽  
Communication Channel ◽  
Quantum Communication ◽  
Distributed Data ◽  
Data Centre ◽  
Last Mile ◽  
Geographically Distributed ◽  
The Creation ◽  
Point To Point ◽  
Last Mile Problem

The work is devoted to the creation of a telescopic transceiver system that organizes an atmospheric point-to-point communication channel, and its use for quantum communication at sideband frequencies as the “last mile” for data protection in a geographically distributed data centre

Optimization-based workload distribution in geographically distributed data centers: A survey

2020 ◽  
Vol 33 (12) ◽  
pp. e4453 ◽  
Author(s):  
Iftikhar Ahmad ◽  
Muhammad Imran Khan Khalil ◽  
Syed Adeel Ali Shah
Keyword(s):  
Data Centers ◽  
Distributed Data ◽  
Geographically Distributed ◽  
Workload Distribution

scholarly journals The cloud of geographically distributed data centers

2019 ◽  
Vol 214 ◽  
pp. 07007
Author(s):  
Petr Fedchenkov ◽  
Andrey Shevel ◽  
Sergey Khoruzhnikov ◽  
Oleg Sadov ◽  
Oleg Lazo ◽  
...  
Keyword(s):  
Data Storage ◽  
Data Centers ◽  
Virtual Machines ◽  
Data Transfer ◽  
Service Availability ◽  
Distributed Data ◽  
Virtual Storage ◽  
Distribution Services ◽  
Geographically Distributed ◽  
Data Centres

ITMO University (ifmo.ru) is developing the cloud of geographically distributed data centres. The geographically distributed means data centres (DC) located in different places far from each other by hundreds or thousands of kilometres. Usage of the geographically distributed data centres promises a number of advantages for end users such as opportunity to add additional DC and service availability through redundancy and geographical distribution. Services like data transfer, computing, and data storage are provided to users in the form of virtual objects including virtual machines, virtual storage, virtual data transfer link.

scholarly journals The data management of heterogeneous resources in Belle II

2019 ◽  
Vol 214 ◽  
pp. 04031
Author(s):  
Malachi Schram
Keyword(s):  
Data Management ◽  
High Speed ◽  
Data Management System ◽  
Distributed Data ◽  
Global Networks ◽  
Distributed Data Management ◽  
Geographically Distributed ◽  
Belle Ii ◽  
Belle Experiment ◽  
Heterogeneous Resources

The Belle II experiment at the SuperKEKB collider in Tsukuba, Japan, has started taking physics data in early 2018 and plans to accumulate 50 ab-1, which is approximately 50 times more data than the Belle experiment. The collaboration expects it will require managing and processing approximately 200 PB of data. Computing at this scale requires efficient and coordinated use of the geographically distributed compute resources in North America, Asia and Europe and will take advantage of high-speed global networks. We present the general Belle II the distributed data management system and computing results from the first phase of data taking.

Grid-Based Platform for Mining Association Rules

2010 ◽  
Vol 34-35 ◽  
pp. 1961-1965
Author(s):  
You Qu Chang ◽  
Guo Ping Hou ◽  
Huai Yong Deng
Keyword(s):  
Data Mining ◽  
Large Datasets ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Data Set ◽  
Efficiency And Effectiveness ◽  
Geographically Distributed ◽  
Commercial Applications ◽  
Rule Interestingness ◽  
Grid Based

distributed data mining is widely used in industrial and commercial applications to analyze large datasets maintained over geographically distributed sites. This paper discusses the disadvantages of existing distributed data mining systems, and puts forward a distributed data mining platform based grid computing. The experiments done on a data set showed that the proposed approach produces meaningful results and has reasonable efficiency and effectiveness providing a trade-off between runtime and rule interestingness.

scholarly journals Software-defined optical network for metro-scale geographically distributed data centers

2016 ◽  
Vol 24 (11) ◽  
pp. 12310 ◽  
Author(s):  
Payman Samadi ◽  
Ke Wen ◽  
Junjie Xu ◽  
Keren Bergman
Keyword(s):  
Data Centers ◽  
Optical Network ◽  
Distributed Data ◽  
Geographically Distributed
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