Green-aware workload scheduling in geographically distributed data centers

Author(s):  
Changbing Chen ◽  
Bingsheng He ◽  
Xueyan Tang
2020 ◽  
Vol 33 (12) ◽  
pp. e4453 ◽  
Author(s):  
Iftikhar Ahmad ◽  
Muhammad Imran Khan Khalil ◽  
Syed Adeel Ali Shah

2019 ◽  
Vol 214 ◽  
pp. 07007
Author(s):  
Petr Fedchenkov ◽  
Andrey Shevel ◽  
Sergey Khoruzhnikov ◽  
Oleg Sadov ◽  
Oleg Lazo ◽  
...  

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.


2016 ◽  
Vol 24 (11) ◽  
pp. 12310 ◽  
Author(s):  
Payman Samadi ◽  
Ke Wen ◽  
Junjie Xu ◽  
Keren Bergman

2015 ◽  
Author(s):  
Jonathan W. Berry ◽  
Michael Collins ◽  
Aaron Kearns ◽  
Cynthia A. Phillips ◽  
Jared Saia

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