Multi-agent Based Dynamic Data Integrity Protection in Cloud Computing

Author(s):  
S. Venkatesan ◽  
Abhishek Vaish
2015 ◽  
Vol 18 (2) ◽  
pp. 919-932 ◽  
Author(s):  
Mahmoud Al-Ayyoub ◽  
Yaser Jararweh ◽  
Mustafa Daraghmeh ◽  
Qutaibah Althebyan

2017 ◽  
Vol 7 (1.1) ◽  
pp. 689
Author(s):  
S Sandeep Kumar ◽  
S Tarun Kumar ◽  
G Sathraja ◽  
J Nagatejasri

Cloud knowledge centers area unit usually comprised of multiple servers with doubtless completely different specifications and unsteady resource usages. The challenge for these data centers is how to handle and service the millions of Requests such that the Quality of the ser-vice (Qos) is not compromised. Load balancing is an important aspect in cloud computing that involves an even work distribution among the available machines such that no machine is overloaded. This work discusses on numerous Agent primarily based load equalization tech-niques capableof equalization workloads across multiple servers to provide customer Satisfaction and economical Resource Utilization. We propose a Dynamic Multi-Agent based algorithm to address the load balancing issue .In this, we describe about Agents and how they can be used to solve load balancing in cloud computing.  


2021 ◽  
Vol 10 (02) ◽  
pp. 211-218
Author(s):  
Indira G ◽  
Sujitha S ◽  
S.Ganapathy Subramanian

In cloud computing integrity of data and access control are challenging issues. Protection of outsourced data in cloud storage becomes critical. Codes which are regenerating of data provide fault tolerance. Therefore, remotely checking the integrity of data against corruptions and other issues under a real time cloud storage setting is our problem of study. It practically design and implement Data Integrity Protection (DIP) environment.


2018 ◽  
Vol 8 (2) ◽  
pp. 218-239 ◽  
Author(s):  
Tadashi Ogino ◽  
Shinji Kitagami ◽  
Takuo Suganuma ◽  
Norio Shiratori

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