Recovery-Oriented Resource Management in Hybrid Cloud Environments

Cloud computing provides resources using multitenant architecture where infrastructure is created from one or more distributed datacenters. Scheduling of applications in cloud infrastructures is one of the main research area in cloud computing. Researchers have developed many scheduling algorithms and evaluated them using simulators such as CloudSim. Their performance needs to be validated in real-time cloud environments to improve their usefulness. Aneka is one of the prominent PaaS software which allows users to develop cloud application using various programming models and underline infrastructure. This chapter presents a scheduling API developed for the Aneka software platform. Users can develop their own scheduling algorithms using this API and integrate it with Aneka to test their scheduling algorithms in real cloud environments. The proposed API provides all the required functionalities to integrate and schedule private, public, or hybrid cloud with the Aneka software.

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Network Security Policy Automation

10.4018/978-1-6684-3694-3.ch006 ◽

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.

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Deadline scheduling for aperiodic tasks in inter-Cloud environments: a new approach to resource management

The Journal of Supercomputing ◽

10.1007/s11227-014-1285-8 ◽

2014 ◽

Vol 71 (5) ◽

pp. 1754-1765 ◽

Cited By ~ 16

Author(s):

Florin Pop ◽

Ciprian Dobre ◽

Valentin Cristea ◽

Nik Bessis ◽

Fatos Xhafa ◽

...

Keyword(s):

Resource Management ◽

New Approach ◽

Aperiodic Tasks ◽

Cloud Environments ◽

Deadline Scheduling

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Three Tier Network Architecture to Mitigate DDoS Attacks on Hybrid Cloud Environments

Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS '16 ◽

10.1145/2905055.2905169 ◽

2016 ◽

Author(s):

Akashdeep Bhardwaj ◽

G. V. B. Subrahmanyam ◽

Vinay Avasthi ◽

Hanumat Sastry

Keyword(s):

Network Architecture ◽

Hybrid Cloud ◽

Ddos Attacks ◽

Cloud Environments

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A Novel Technique for Trust Delivery in the Cloud

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v11i2.1174 ◽

2013 ◽

Vol 11 (2) ◽

pp. 2226-2230

Author(s):

Yeluri Lakshmi Prasanna ◽

Dr.E.Madhusudhana Reddy ◽

S Neelima

Keyword(s):

Key Management ◽

Research Paper ◽

Hybrid Cloud ◽

Infrastructure As A Service ◽

Platform As A Service ◽

Critical Data ◽

Novel Technique ◽

Cloud Providers ◽

Cloud Environments

For many organizations, keeping data private and secure has also become a compliance requirement. Cloud providers offering Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offer a â€œshared responsibilityâ€ model for customer applications and data, so companies that are migrating to the cloud are responsible for finding a solution. This research paper proposes a system, which combines encryption with key management to protect critical data in public, private and hybrid cloud environments.

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