Distributed Data Storage Services Research Articles

Design of secured blockchain based decentralized authentication protocol for sensor networks with auditing and accountability

The traditional system designed by incorporating the Wireless Sensor Network (WSN) suffers from important issues such as centralization of information, single source of trust, and fails to provide a trusted data-auditing solution due to the involvement of Third Party Auditor (TPA). This article proposes a novel solution by leveraging the concept of blockchain and Distributed Data Storage Service (DDSS) system to mitigate the issues mentioned above. In our model, the sensor nodes are accountable for their activity because the blockchain permanently records the logs of sensor nodes. The proposed solution provides the decentralized authentication of sensor nodes and the information stored in the fully distributed system. Furthermore, a decentralized data-auditing scheme without involving the TPA is also suggested, which finally benefits the user in terms of bandwidth and money. The formal verification of the proposed protocol is done using the Scyther simulator tool, which indicates that the protocol is safe and can protect against the relevant attacks with 100% accuracy. We have estimated the proposed scheme’s time complexity and computational efficiencies and compared them with the existing one. The computation and communication overhead of the proposed method is reduced by 22.143% and 12.5% compared with the Khalid et al. (2020) scheme. Lastly, the ethereum platform simulates our solution, confirming that less than USD 2 is required to execute the proposed solution.

POLICY-BASED SLA STORAGE MANAGEMENT MODEL FOR DISTRIBUTED DATA STORAGE SERVICES

There is high demand for storage related services supporting scientists in their research activities. Those services are expected to provide not only capacity but also features allowing for more flexible and cost efficient usage. Such features include easy multiplatform data access, long term data retention, support for performance and cost differentiating of SLA restricted data access. The paper presents a policy-based SLA storage management model for distributed data storage services. The model allows for automated management of distributed data aimed at QoS provisioning with no strict resource reservation. The problem of providing users with the required QoS requirements is complex, and therefore the model implements heuristic approach for solving it. The corresponding system architecture, metrics and methods for SLA focused storage management are developed and tested in a real, nationwide environment.

On efficient data storage service for IoT

SummaryThe increasing popularity of Internet of Things (IoT) services causes tremendous growth of the amount of produced data. These data must be effectively stored and retrieved by the IoT service providers. The solution is to access the data through application programming interfaces. The paper focuses on the problem of designing an effective data storage service for IoT, which will be available through the universal application programming interface. We propose and analyze eight variants of the distributed data storage service that differ in the database structure, that is, the hierarchical structure based on Data‐Oriented Network Architecture or the flat structure based on distributed hash table, the type of stored records, and the memory management algorithm that decides about using cache or base memory. The proposed solutions have been evaluated in the comprehensive simulation studies. The obtained results confirmed the effectiveness of the preferred solution with Dynamic Routing Records stored in the cache memory. Copyright © 2016 John Wiley & Sons, Ltd.