Towards an optimized abstracted topology design in cloud environment

Aoun, Rosy; Abosi, Chinwe E.; Doumith, Elias A.; Nejabati, Reza; Gagnaire, Maurice; Simeonidou, Dimitra

doi:10.1016/j.future.2012.03.024

Cited by 11 publications

(4 citation statements)

References 39 publications

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“…These resources can be accessed on-demand and rapidly provisioned with minimal interaction with the service provider [12]. The cloud computing providers provide end users with IT resources (physical or virtual) and applications as services over the Internet [13,14]. The cloud represents a network of data centers, where each data center contains several thousand computers that are connected together to accomplish the required task.…”

Section: Cloud Computingmentioning

confidence: 99%

Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions

et al. 2020

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Cloud computing offers new features of sharing resources and applications to meet users’ computing requirements. It is a model by which the users can access computing resources as services offered on the Internet (cloud services). Cloud service providers offer a highly diverse range of asymmetric cloud services with heterogeneous features, which makes it difficult for the users to find the best service that fits his needs. Many research studies have been done on cloud service discovery, and several models and solutions that applied different techniques have been proposed. This paper aims at presenting the state of the art in the area of cloud services discovery by exploring the current approaches, techniques, and models. Furthermore, it proposes a taxonomy of cloud service discovery approaches. An integrative review approach was used to explore the related literature. Then, by analyzing the existing cloud service discovery solutions, a taxonomy of discovery approaches was suggested based on several perspectives including the discovery environment and the discovery process methods. The proposed taxonomy allows easily classifying and comparing cloud services discovery solutions. Moreover, it may reveal issues and gaps for further research and expose new insights for more innovative and effective cloud services discovery solutions.

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Section: Cloud Computingmentioning

confidence: 99%

Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions

et al. 2020

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“…Cloud Computing is a new business model paradigm -organizations and their business models are shifting from traditional operational focus and moving the operational into the Cloud. "Cloud computing represents a service paradigm that has emerged as a result of distributed computing across the internet" [6]. Usually this help organizations move the focus to innovation.…”

Section: Current Eu Status-some Proceedings For Using Governance and mentioning

confidence: 99%

Cloud Standardization: Consistent Business Processes and Information

Zota¹,

Fratila²

2013

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“…This is called database-as-a-service (DaaS) 1,2 , software-as-a-service (SaaS) 3,4,5 or infrastructure as a service (IaaS) 5,6,7 . Although it brings users with great convenience, the security issues in cloud computing are the primary concerns of users 3,8 .…”

Section: Introductionmentioning

confidence: 99%

Identity-based data storage in cloud computing

Han

Susilo

2013

Future Generation Computer Systems

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Identity-based proxy re-encryption schemes have been proposed to shift the burden of managing numerous files from the owner to a proxy server. Nevertheless, the existing solutions suffer from several drawbacks. First, the access permission is determined by the central authority, which makes the scheme impractical. Second, they are insecure against collusion attacks. Finally, only queries from the same domain (intra-domain) are considered. We note that one of the main applications of identity-based proxy re-encryption schemes is in the cloud computing scenario. Nevertheless, in this scenario, users in different domains can share files with each other. Therefore, the existing solutions do not actually solve the motivating scenario, when the scheme is applicable for cloud computing. Hence, it remains an interesting and challenging research problem to design an identity-based data storage scheme which is secure against collusion attacks and supports intra-domain and inter-domain queries. In this paper, we propose an identity-based data storage scheme where both queries from the intra-domain and inter-domain are considered and collusion attacks can be resisted. Furthermore, the access permission can be determined by the owner independently. © 2012 Elsevier B.V. All rights reserved. AbstractIdentity-based proxy re-encryption schemes have been proposed to shift the burden of managing numerous files from the owner to a proxy server. Nevertheless, the existing solutions suffer from several drawbacks. First, the access permission is determined by the central authority, which makes the scheme impractical. Second, they are insecure against the collusion attacks. Finally, only queries from the same domain (intra-domain) are considered. We note that one of the main applications of identity-based proxy re-encryption schemes is in the cloud computing scenario. Nevertheless, in this scenario, users in different domains can share files with each other. Therefore, the existing solutions do not actually solve the motivating scenario, when the scheme is applicable for cloud computing. Hence, it remains an interesting and challenging research problem to design an identity-based data storage scheme which is secure against the collusion attacks and supports intradomain and inter-domain queries. In this paper, we propose an identitybased data storage scheme where both queries from the intra-domain and inter-domain are considered and collusion attacks can be resisted. Furthermore, the access permission can be determined by the owner independently.

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Towards an optimized abstracted topology design in cloud environment

Cited by 11 publications

References 39 publications

Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions

Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions

Cloud Standardization: Consistent Business Processes and Information

Identity-based data storage in cloud computing

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