Hybris

Abstract

Besides well-known benefits, commodity cloud storage also raises concerns that include security, reliability, and consistency. We present Hybris key-value store, the first robust hybrid cloud storage system, aiming at addressing these concerns leveraging both private and public cloud resources. Hybris robustly replicates metadata on trusted private premises (private cloud), separately from data which is dispersed (using replication or erasure coding) across multiple untrusted public clouds. Hybris maintains metadata stored on private premises at the order of few dozens of bytes per key, avoiding the scalability bottleneck at the private cloud. In turn, the hybrid design allows Hybris to efficiently and robustly tolerate cloud outages, but also potential malice in clouds without overhead. Namely, to tolerate up to f malicious clouds, in the common case of the Hybris variant with data replication, writes replicate data across f + 1 clouds, whereas reads involve a single cloud. In the worst case, only up to f additional clouds are used. This is considerably better than earlier multi-cloud storage systems that required costly 3f + 1 clouds to mask f potentially malicious clouds. Finally, Hybris leverages strong metadata consistency to guarantee to Hybris applications strong data consistency without any modifications to the eventually consistent public clouds. We implemented Hybris in Java and evaluated it using a series of micro and macro-benchmarks. Our results show that Hybris significantly outperforms comparable multi-cloud storage systems and approaches the performance of bare-bone commodity public cloud storage.

Strategic Joining and Optimal Pricing in the Hybrid Cloud System with Risk-sensitive Service Requests

“…The sensitive regions are stored in private cloud and insensitive regions are stored in public cloud. Viotti et al [18] proposed a data partitioning technique for hybrid clouds. Credential is kept in a trusted private premise (private cloud), and replicated or erasure coding data is dispersed across multiple untrusted public clouds.…”

Construction of a secure storage and sharing model for medical data under computer network technology

“…In that case, it will facilitate inter-hospital treatment for patients and provide third-party organizations such as the insurance industry with authoritative and reliable access to customer medical data, further facilitating the development of the healthcare industry [8][9]. In the healthcare field, cloud storage has the advantages of low cost, easy deployment and efficient storage, and the operations on its platform are largely automated, making it the ideal environment for deploying standard data security access and sharing mechanisms [10][11]. Therefore, how to securely access and share medical data in an open cloud storage environment is an urgent problem in healthcare.…”

Multi-objective Optimization of Data Placement in a Storage-as-a-Service Federated Cloud

“…The problem of data placement has been widely investigated in the Cloud environment. The proposed techniques have considered many issues related to the hybrid storage system of a centralized cloud as in [17,35,41,57,62,78,81] and distributed clouds like [30,43,46,50,72,76,79,83]. State-of-the-art studies have considered different objectives under different constraints.…”