Performance Evaluation of the Asymmetric Distributed Lock Management in Cloud Computing

Mobile Cloud Computing (MCC) integrates cloud computing into the mobile environment and overcomes obstacles related to performance (e.g., bandwidth, throughput) and environment (e.g., heterogeneity, scalability, and availability). Quality of Service (QoS), such as end-to-end delay, packet loss ratio, etc., is vital for MCC applications. In this chapter, several important approaches for performance evaluation in MCC are introduced. These approaches, such as Markov Processes, Scheduling, and Game Theory, are the most popular methodologies in current research about performance evaluation in MCC. QoS is special in MCC compared to other environments. Important QoS problems with details in MCC and corresponding designs and solutions are explained. This chapter covers the most important research problems and current status related to performance evaluation and QoS in MCC.

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Healthcare SaaS Based on a Data Model With Built-In Security and Privacy

Cloud Security ◽

10.4018/978-1-5225-8176-5.ch037 ◽

2019 ◽

pp. 744-759 ◽

Cited By ~ 1

Author(s):

Ruchika Asija ◽

Rajarathnam Nallusamy

Keyword(s):

Cloud Computing ◽

Performance Evaluation ◽

Data Model ◽

Health Data ◽

Software As A Service ◽

Security And Privacy ◽

Healthcare Industry ◽

Access Controls ◽

Software And Hardware ◽

Security Levels

Cloud computing is a major technology enabler for providing efficient services at affordable costs by reducing the costs of traditional software and hardware licensing models. As it continues to evolve, it is widely being adopted by healthcare organisations. But hosting healthcare solutions on cloud is challenging in terms of security and privacy of health data. To address these challenges and to provide security and privacy to health data on the cloud, the authors present a Software-as-a-Service (SaaS) application with a data model with built-in security and privacy. This data model enhances security and privacy of the data by attaching security levels in the data itself expressed in the form of XML instead of relying entirely on application level access controls. They also present the performance evaluation of their application using this data model with different scaling indicators. To further investigate the adoption of IT and cloud computing in Indian healthcare industry they have done a survey of some major hospitals in India.

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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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