Optimizing the Performance of Big Data Workflows in Multi-cloud Environments Under Budget Constraint

2016 ◽  
Author(s):  
Chase Q. Wu ◽  
Huiyan Cao
Keyword(s):  
Big Data ◽  
Budget Constraint ◽  
Cloud Environments ◽  
Multi Cloud

scholarly journals Security for Multi Cloud Using Server less Registering Approach

2021 ◽  
Vol 12 (3) ◽  
pp. 4801-4804
Author(s):  
Shravani Jasthi Et. al.
Keyword(s):  
Distributed Computing ◽  
Specific Area ◽  
Cloud Service ◽  
Service Access ◽  
Security Issue ◽  
Application Development ◽  
Security Enhancement ◽  
Execution Model ◽  
Cloud Environments ◽  
Multi Cloud

These days, in any application development, security for specific area has become crucial job in the service access environment. Since clients needs to utilize the unique services and resources in distributed computing environment. Here the security administrations and cloud portal frameworks have been highly advanced based on the client necessities. However cloud offers a lot of resources through the global service vendors and Multicloud technologies are rapidly in use, but still the cloud requires security enhancement. Applications become complex and have attacks when deployed on multiclouds .So it is very important factor to protect the data and resources from the hackers. In multiple cloud environments it is possible to control all the applications, user resources, secret information and other confidential user process level with the help of server less approach. The server less computing approach is a sort of Distributed computing execution model through which Cloud Service provider will allocate the resource to the client in a dynamic manner .This paper represents what is Multi cloud, advantages of Multicloud, Why Security issue with Multi cloud, How server less is different from monolith services and Security Approaches to multi cloud with server less computing.

Network Security Policy Automation

2022 ◽  
pp. 83-112
Author(s):  
Myo Zarny ◽  
Meng Xu ◽  
Yi Sun
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Network Security ◽  
Security Policy ◽  
Learning Technologies ◽  
Use Cases ◽  
Hybrid Cloud ◽  
Cloud Environments ◽  
Enterprise Security

Network security policy automation enables enterprise security teams to keep pace with increasingly dynamic changes in on-premises and public/hybrid cloud environments. This chapter discusses the most common use cases for policy automation in the enterprise, and new automation methodologies to address them by taking the reader step-by-step through sample use cases. It also looks into how emerging automation solutions are using big data, artificial intelligence, and machine learning technologies to further accelerate network security policy automation and improve application and network security in the process.

Sign in / Sign up

Export Citation Format

Share Document