Cross-Domain Authorization Management Model for Multi-Levels Hybrid Cloud Computing

According to the advantages of cloud computing which is a new technology and the developing state of the information management of oil enterprise, this paper builds a information management mode for oil enterprise based on cloud computing, in order to solve many certain problems in the recent information mode. Analyses the different business needs in the up and down stream in Oil Company, and then build an enterprise hybrid cloud management model. Under this mode, the information management of this company can realize lower IT operating costs, lower energy consumption and higher efficiency, and also take balance between efficiency and data safety. This kind of mode not only fits into the developing need for Oil Company, but also the need for green IT age.

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Research on the Management Model of Marine Economic Information Resources in the Big Data Era Based on Cloud Computing

Journal of Coastal Research ◽

10.2112/si94-065.1 ◽

2019 ◽

Vol 94 (sp1) ◽

pp. 316

Author(s):

Yanan Zhao ◽

Hongwei Zhao

Keyword(s):

Cloud Computing ◽

Big Data ◽

Information Resources ◽

Management Model ◽

Economic Information

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Standardization

Pervasive Cloud Computing Technologies - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-4666-4683-4.ch004 ◽

2014 ◽

pp. 75-96

Keyword(s):

Cloud Computing ◽

World Wide ◽

Cloud Provider ◽

Main Question ◽

Hybrid Cloud ◽

Cloud Infrastructure ◽

The World ◽

Cloud Interoperability ◽

Lock In ◽

Computing Landscape

The importance of cloud computing standards is the same as the World Wide Web standardization. There are plenty of prevalent standards around cloud computing that make different aspects of cloud computing possible. Standardization is a key answer and solution to the main question in this book (i.e., whether cloud computing will survive and remain on IT trends track or not). Standardization will bring interoperability, integration, and portability to the cloud computing landscape. With these three features, the main elements of IT (i.e., computation and data) can move from one cloud provider to another. Therefore, it eliminates vendor lock-in that is one of the barriers in cloud adoption. In addition, cloud interoperability will minimize cloud fragmentation. We need interoperability and portability to achieve cloud federation and to build hybrid cloud. In addition, there is still no de facto standard for moving workloads or data among different clouds. Cloud standardization needs to be addressed at various layers of a cloud infrastructure such as: virtual machine format, data, interface, context, and identity layers. This chapter reviews the emerging standards from the perspective of various organizations and standard bodies.

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A Hybrid Cloud Model for Cloud Adoption by Multinational Enterprises

Web Services ◽

10.4018/978-1-5225-7501-6.ch081 ◽

2019 ◽

pp. 1563-1587

Author(s):

Wu He ◽

Feng-Kwei Wang

Keyword(s):

Cloud Computing ◽

Case Studies ◽

Multinational Enterprises ◽

Cloud Model ◽

Hybrid Cloud ◽

Cloud Adoption ◽

Know How ◽

It Resources ◽

The Way

As a new IT paradigm for users, cloud computing has the potential to transform the way that IT resources are utilized and consumed. Many multinational enterprises (MNEs) are interested in cloud computing but do not know how to adopt and implement cloud computing in their enterprise settings. In an effort to help MNEs understand cloud computing and develop successful enterprise adoption strategies for cloud computing, the authors propose a hybrid cloud model for MNEs and illustrate the utility of this model by using two case studies. Insights for adopting and implementing this model in international settings are provided as well.

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An API for Development of User-Defined Scheduling Algorithms in Aneka PaaS Cloud Software

Handbook of Research on Cloud Computing and Big Data Applications in IoT - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-8407-0.ch009 ◽

2019 ◽

pp. 170-187 ◽

Cited By ~ 1

Author(s):

Rajinder Sandhu ◽

Adel Nadjaran Toosi ◽

Rajkumar Buyya

Keyword(s):

Cloud Computing ◽

Real Time ◽

Scheduling Algorithms ◽

Research Area ◽

Programming Models ◽

Hybrid Cloud ◽

Main Research ◽

Cloud Application ◽

Cloud Environments ◽

Cloud Infrastructures

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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Multi-Cloud Data Management Using Shamir's Secret Sharing and Quantum Byzantine Agreement Schemes

Web-Based Services ◽

10.4018/978-1-4666-9466-8.ch053 ◽

2016 ◽

pp. 1205-1222

Author(s):

Mohammed A. AlZain ◽

Alice S. Li ◽

Ben Soh ◽

Eric Pardede

Keyword(s):

Cloud Computing ◽

Performance Evaluation ◽

Data Management ◽

Data Storage ◽

Secret Sharing ◽

Byzantine Agreement ◽

Management Model ◽

Cloud Data ◽

Cloud Data Management ◽

Multi Cloud

Cloud computing is a phenomenal distributed computing paradigm that provides flexible, low-cost on-demand data management to businesses. However, this so-called outsourcing of computing resources causes business data security and privacy concerns. Although various methods have been proposed to deal with these concerns, none of these relates to multi-clouds. This paper presents a practical data management model in a public and private multi-cloud environment. The proposed model BFT-MCDB incorporates Shamir's Secret Sharing approach and Quantum Byzantine Agreement protocol to improve trustworthiness and security of business data storage, without compromising performance. The performance evaluation is carried out using a cloud computing simulator called CloudSim. The experimental results show significantly better performance in terms of data storage and data retrieval compared to other common cloud cryptographic based models. The performance evaluation based on CloudSim experiments demonstrates the feasibility of the proposed multi-cloud data management model.

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