Value-based tiering management on heterogeneous block-level storage system

2012 ◽  
Author(s):  
Chai-Hao Tsai ◽  
Jerry Chou ◽  
Yeh-Ching Chung
Keyword(s):  
Storage System ◽  
Block Level

scholarly journals A Durable Hybrid RAM Disk with a Rapid Resilience for Sustainable IoT Devices

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2159 ◽  
Author(s):  
Sung Hoon Baek ◽  
Ki-Woong Park
Keyword(s):  
Storage System ◽  
Random Access ◽  
Solid State Drive ◽  
Storage Devices ◽  
Disk Storage ◽  
Block Level ◽  
Iot Platforms ◽  
Iot Devices ◽  
Time Required ◽  
Time Critical

Flash-based storage is considered to be a de facto storage module for sustainable Internet of things (IoT) platforms under a harsh environment due to its relatively fast speed and operational stability compared to disk storage. Although their performance is considerably faster than disk-based mechanical storage devices, the read and write latency still could not catch up with that of Random-access memory (RAM). Therefore, RAM could be used as storage devices or systems for time-critical IoT applications. Despite such advantages of RAM, a RAM-based storage system has limitations in its use for sustainable IoT devices due to its nature of volatile storage. As a remedy to this problem, this paper presents a durable hybrid RAM disk enhanced with a new read interface. The proposed durable hybrid RAM disk is designed for sustainable IoT devices that require not only high read/write performance but also data durability. It includes two performance improvement schemes: rapid resilience with a fast initialization and direct byte read (DBR). The rapid resilience with a fast initialization shortens the long booting time required to initialize the durable hybrid RAM disk. The new read interface, DBR, enables the durable hybrid RAM disk to bypass the disk cache, which is an overhead in RAM-based storages. DBR performs byte–range I/O, whereas direct I/O requires block-range I/O; therefore, it provides a more efficient interface than direct I/O. The presented schemes and device were implemented in the Linux kernel. Experimental evaluations were performed using various benchmarks at the block level till the file level. In workloads where reads and writes were mixed, the durable hybrid RAM disk showed 15 times better performance than that of Solid-state drive (SSD) itself.

Orthrus: A Block-Level Virtualized Storage System with Multiple-Volume Servers

2012 ◽  
Vol 7 (1) ◽  
pp. 68-72 ◽  
Author(s):  
Jian Wan ◽  
Yi-Cheng Wang ◽  
Ji-Lin Zhang ◽  
Li Zhou
Keyword(s):  
Storage System ◽  
Block Level

Flex: A Flexible Block-Level Distributed Storage System

2014 ◽  
Vol 513-517 ◽  
pp. 1046-1051
Author(s):  
Yong Chuan Li ◽  
Yu Xing Peng ◽  
Hui Ba Li
Keyword(s):  
High Performance ◽  
Distributed Storage ◽  
Rapid Development ◽  
Storage System ◽  
Distributed Storage System ◽  
Block Level ◽  
Storage Resource ◽  
Distributed Storage Systems ◽  
Performance Results ◽  
Storage Structures

With the rapid development of cloud computing, there are many storage structures have been proposed for satisfying cloud-based softwares requirements. Most existing distributed storage systems focus on a certain objective and only provide a certain storage structure. In this paper we present a novel block-level distributed storage system named Flex which integrates storage resource dispersed on the network into a whole one. Flex uses a device mapping framework to create dynamic and flexible storage structures for users. We have implemented the prototype and evaluated its performance; results show that Flex can provide a high performance in diverse storage structures.

ORTHRUS: a lightweighted block-level cloud storage system

2012 ◽  
Vol 16 (4) ◽  
pp. 625-638 ◽  
Author(s):  
Jian Wan ◽  
Jianliang Zhang ◽  
Li Zhou ◽  
Yicheng Wang ◽  
Congfeng Jiang ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Block Level

scholarly journals S-TRAP: Optimization and evaluation of timely recovery to any point-in-time (TRAP)

2012 ◽  
Vol 9 (1) ◽  
pp. 431-454 ◽  
Author(s):  
Chao Wang ◽  
Zhanhuai Li ◽  
Na Hu ◽  
Nie Yanming
Keyword(s):  
System Performance ◽  
Negative Impact ◽  
Storage System ◽  
Time Interval ◽  
Recovery Efficiency ◽  
High Recovery ◽  
Recovery Mechanism ◽  
Block Level ◽  
Negative Impacts ◽  
Efficiency And Reliability

This paper presents S-TRAP, a novel block-level CDP (Continuous Data Protection) recovery mechanism based on TRAP. In accordance with a certain time interval L , S-TRAP breaks down the parity chain of TRAP and generates new sub-chains. Besides, S-TRAP introduces previous block cache which can reduce the negative impact on the primary storage system. Both mathematical analysis and experimental evaluation demonstrate that S-TRAP not only has the advantage of high recovery efficiency and reliability, but also further reduces the parity storage usage. Even more important, S-TRAP reduces the negative impacts on primary storage system performance to a large extent.

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