KEYWORDS: Data storage, Data storage servers, Distributed computing, Data modeling, Computing systems, Control systems, Reliability, Computer architecture, Prototyping, Computer science
According to the role of the current large-scale storage system, this paper introduces a novel metadata service strategy
that separates read from write for the larger proportion of read. It centralizes control and reduces the access workload
through the multi-metadata server architecture of the master/slave mode. Through the sharing of original metadata server
to read the response to the large scale to reduce the load on the reading pattern to form a viable structure of the system. It
not only can bring the system better scalability and usability, but can well control metadata consistency. Finally,
compared to Active/Active structure, Read/Write strategy has shown a relatively good result in the aspect of the access
efficiency and System costs. As a service management strategy, it effectively reduces the load of the data access of
metadata service.
With the explosive growth of digital information, storage systems are becoming larger and more complicated. Especially
in large scale storage systems, they must be able to deliver satisfactory I/O performance (availability, reliability, etc.)
under both expected and unexpected workloads, and handle data with real timeliness requirements. However, typical
management methods of mass storage systems cannot meet these requirements. One solution is using Quality of Service
(QoS) approaches in object-based storage systems. These QoS approaches include Quality of Storage Service (QoSS)
framework and QoSS improvements. After researching the QoS requirements and the various data access
characterizations in different applications, we designed a QoSS management framework. And then according to this
framework, we gave some improvements to efficiently realize QoSS in object-based storage systems. To demonstrate the
effectiveness of our proposed solution, we developed a prototype of Attribute-managed Storage System with QoSS
(AM-QoSS) by extending both OSD and iSCSI protocols. The measurement results finally show that the proposed QoS
management approach achieves optimization of storage systems, such as higher performance and better guaranteed QoS.
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