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Secure distributed adaptive bin packing algorithm for cloud storage

机译:用于云存储的安全分布式自适应bin打包算法

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Cloud computing delivers highly scalable and flexible computing and storage resources on pay-per-use policy. Cloud Computing's services for computation and storage are getting increasingly popular and many organizations are now moving their data from in-house data centers to the Cloud Storage Providers (CSPs). However, increasing user base and remote storage of data introduces challenges like inefficient usage of resources and insider threat to data at rest in the cloud storage. Time varying workload and data intensive applications are vulnerable to encounter such challenges while using cloud computing services. The consolidation of virtual machines to minimize the total number of active servers is a promising solution to conserve the energy but it requires efficient resource management strategies. Additionally, the encryption strategies and third party auditors to maintain data integrity are still in their developing stage and therefore the data at rest is still a concern for the cloud storage users. In this paper, we designed a distributed storage allocation architecture for fair utilization of storage resources and we also design an integrated end to end security framework for data at rest in cloud storage to eliminate insider threats. (C) 2018 Elsevier B.V. All rights reserved.
机译:云计算根据按使用付费策略提供高度可扩展且灵活的计算和存储资源。云计算的计算和存储服务越来越受欢迎,许多组织现在将其数据从内部数据中心转移到云存储提供商(CSP)。但是,不断增长的用户基础和数据的远程存储带来了挑战,例如资源使用效率低下以及云存储中静态数据的内部威胁。时变工作负载和数据密集型应用程序在使用云计算服务时很容易遇到此类挑战。整合虚拟机以最大程度地减少活动服务器的数量是节省能源的有前途的解决方案,但它需要有效的资源管理策略。此外,保持数据完整性的加密策略和第三方审核员仍处于开发阶段,因此静态数据仍然是云存储用户关注的问题。在本文中,我们设计了一种分布式存储分配架构,以公平利用存储资源,并且还设计了一个集成的端到端安全框架,用于云存储中的静态数据,以消除内部威胁。 (C)2018 Elsevier B.V.保留所有权利。

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