Cyber-physical application monitoring across multiple clouds

Cloud Computing has opened new ways of flexible resource provisions for businesses migrating IT applications and data to the cloud to respond to new demands from customers. Recently, many businesses plan to take advantage of the flexible resource provision. Cloud Federations envisage a distributed, heterogeneous environment consisting of various cloud infrastructures by aggregating different IaaS provider capabilities coming from both the commercial and academic area. Recent solutions hide the diversity of multiple clouds and form a unified federation on top of them. Many approaches follow recent trends in cloud application development, and offer federation capabilities at the platform level, thus creating Platform-as-a-Service solutions. In this chapter the authors investigate capabilities of PaaS solutions and present a classification of these tools: what levels of developer experience they offer, what types of APIs, developer tools they support and what web GUIs they provide. Developer experience is measured by creating and executing sample applications with these PaaS tools.

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Blockchain-Based Incentives for Secure and Collaborative Data Sharing in Multiple Clouds

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2020.2986619 ◽

2020 ◽

Vol 38 (6) ◽

pp. 1229-1241 ◽

Cited By ~ 10

Author(s):

Meng Shen ◽

Junxian Duan ◽

Liehuang Zhu ◽

Jie Zhang ◽

Xiaojiang Du ◽

...

Keyword(s):

Data Sharing ◽

Multiple Clouds

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Hybrid Multi-Cloud Demystifying SLAs for Smart City Enterprises Using IoT Applications

IoT Architectures, Models, and Platforms for Smart City Applications - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-7998-1253-1.ch003 ◽

2020 ◽

pp. 52-67

Author(s):

Lubna Luxmi Dhirani ◽

Thomas Newe ◽

Shahzad Nizamani

Keyword(s):

Cloud Computing ◽

Smart City ◽

Influencing Factor ◽

It Management ◽

Peak Performance ◽

Cloud Environment ◽

Iot Applications ◽

Single Standard ◽

Multiple Clouds ◽

Multi Cloud

Cloud computing migrations are increasing rapidly. The main influencing factor being IT management costs. IoT-based enterprises that started their cloud journey by setting up small private clouds within their enterprise have often found that as the applications and services they use broaden. Then the shift towards incorporating public clouds becomes inevitable. The current problem that many of these firms are encountering is the difficulty of managing multiple clouds that reside within different vendors running on different platforms, computational requirements, and vendor SLAs. Lack of support for a single standard for an overall multi-cloud hybrid model exposes the hybrid IT-management to further threats. This makes it difficult for an adopting enterprise to manage and maintain its cloud-based systems during peak performance hours, which often leads to system downtime. This chapter discusses various SLA issues specific to a hybrid multi-cloud environment and suggests possible solutions to help adopting firms in their management.

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Quantum-based Rivest–Shamir–Adleman (RSA) approach for digital forensic reports

Modern Physics Letters B ◽

10.1142/s0217984920500852 ◽

2020 ◽

Vol 34 (06) ◽

pp. 2050085 ◽

Cited By ~ 1

Author(s):

Jaishree Jain ◽

Ajit Singh

Keyword(s):

Cloud Computing ◽

Simulation Environment ◽

Security Attacks ◽

Computing Environment ◽

Cloud Computing Environment ◽

Digital Forensic ◽

Important Concern ◽

Multiple Clouds ◽

Cloud Users ◽

Multi Cloud

Cloud computing is a model that permits usage of a distributed resource for cloud users using the pay-as-you-use method. It offers many advantages to users and companies, in terms of various resources and applications as a service. In spite of the existence of these advantages, there are a few limitations that place constraints on the utilization of a cloud computing environment. Security is an important concern in a cloud computing environment as it probes various security attacks. Therefore, in this work, a novel quantum-based Rivest–Shamir–Adleman (RSA) model is proposed for encryption of forensic reports during storage or data sharing on clouds. To evaluate the effectiveness of the proposed approach, a suitable simulation environment is designed for a multi-cloud environment. Experimental results reveal the proposed approach can efficiently encrypt and store data on multiple clouds without introducing potential overheads. Therefore, the proposed approach is more efficient for real-time applications.

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