An IoT-based two-factor divide and conquer task scheduler and deep resource allocator for cloud computing

Author(s):  
Sripriya Arun ◽  
Sundara Rajan
Author(s):  
Manouchehr ZadahmadJafarlou ◽  
Bahman Arasteh ◽  
Parisa YousefzadehFard

2018 ◽  
Vol 29 (5) ◽  
pp. 999-1012 ◽  
Author(s):  
Mehdi Sookhak ◽  
F. Richard Yu ◽  
Albert Y. Zomaya

Author(s):  
Lambert Spaanenburg

Large-scale systems pose high demands on computation resources. Where such systems are equipped with a real-time IT infrastructure, one finds distributed sensory systems. For instance, a building structure such as a dike or a skyscraper, with sensors to monitor its health, creates a large-scale system. Typically, complex systems with distributed intelligence are hard to design, test, and maintain by divide-and-conquer. Where design is laborious, schooling is even harder. It is advocated here that cloud-computing provides the required flexibility. Based on this, a teaching format for a cloud-based Master’s course on large-scale systems is introduced.


Author(s):  
Gautam Shroff
Keyword(s):  

2018 ◽  
Vol 23 (11) ◽  
pp. 38-41
Author(s):  
Sebastian Krolop ◽  
Florian Benthin ◽  
Constanze Knahl

Cloud-Computing gewinnt auch in Kliniken zunehmend an Bedeutung. Über das Internet bereitgestellte Lösungen verändern nicht nur Verwaltung und Logistik – im klinischen Bereich geht es zum Beispiel um die Nutzung elektronischer Patientenakten am Point-of-Care.


Author(s):  
Sayan Sakhakarmi ◽  
Chunhee Cho ◽  
JeeWoong Park

Author(s):  
Kiran Kumar S V N Madupu

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.


Sign in / Sign up

Export Citation Format

Share Document