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The performance and scalability of centralized network storage systems cannot follow the processing needs of rapid growing data. Using large-capacity client caches is one of the solutions. This paper points out that the efficiency of "data exchange" between phases is the most important problem in managing large-capacity cache. And then, it defines Stable Set Model (SSM), which can characterize...
This paper analyzed the performance characteristics of classic 2Q algorithm when it was performed on mail-service workloads, and proposes an improved algorithm, called 2Q*. The simulation results show that 2Q* algorithm can outperform the other replacement algorithms, including the classic 2Q algorithm, for all the cache sizes and various mail-service workloads. To verify the simulation results in...
Scalability, which indicates the capacity of system to support the maximal number of clients, is very important to cluster file system. But in practical applications, the bandwidth that storage devices provide doesnpsilat linearly grow with the increasing number of clients which leads to bad QoS and restricts the scalability of cluster file system. This paper analyses the bottleneck of scalability...
This paper presents a flexible two-layer buffer caching scheme to improve the performance of storage cache which is used to serve multiple concurrently accessing applications with diverse access patterns. To achieve this, the proposed scheme dynamically partitions the cache among applications. At the first layer, it uses a configurable global cache allocation policy to make adaptive cache allocations...
In this paper we propose a component-based analytical performance model for IP-SAN. We model four key components within IP-SAN individually and they are IP network, cache, RAID and disks. We validate these component models and compose them to give an entire IP-SAN performance model. The entire IP-SAN model analyzes the performance of an IP-SAN configuration under multiple synchronous workloads by...
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