Design and Prototype of a Solid-State Cache
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리눅스 SSD Caching Mechanism의 성능 비교 및 분석
리눅스 SSD caching mechanism의 성능 비교 및 분석 An performance analysis on SSD caching mechanism in Linux 허상복, 박진희, 조희승 (Sang-Bok Heo, Jinhee Park, Heeseung Jo) Hard disk drive(HDD)는 보조 저장장치로서 대부분의 컴퓨터 시스템에서 사용되고 있으나 기계적 특성으로 인하여 성능의 향상 측면에서는 한계점에 도달해 있는 상황이다. 반면, 플래시메모리 기반인 solid state drive(SSD)는 고성능 저소음이라는 장점이 있지만, HDD에 비해 높은 가격으로 인해 아직 HDD를 완전 대체하기에는 부담이 크다. 따라서 SSD를 대용량인 HDD의 cache로 사용하는 SSD caching mechanism이 최근 주목을 받고 있다. SSD caching mechanism은 대표적으로 bcache, dm-cache, Flashcache, EnhanceIO 등이 있으며, 각 mechanism들은 구현상의 장단점과 차별성이 존재한다. 본 논문에서는 각 SSD caching mechanism들의 특징을 파악하고, 벤치마크를 통하여 성능을 비교 분석하였다. 이러한 연구를 기반으로 향후 더 성능이 좋은 SSD caching mechanism을 개발하는데 기여할 수 있을 것으로 예상된다. ■ 중심어 : SSD; HDD; cache; During several decades, hard disk drive(HDD) has been used in most computer systems as secondary storage and, however, the performance enhancement of HDD is limited by its mechanical properties. On the other hand, although the flash memory based solid state drive (SSD) has more advantages over HDD such as high performance and low noise, SSD is still too expensive for common usage and expected to take several years to replace HDD completely. Therefore, SSD caching mechanism using the SSD as a cache of high capacity HDD has been highlighted lately. The representatives of SSD caching mechanisms are typically bcache, dm-cache, Flashcache, and EnhanceIO. Each of them has its own internal mechanism and implementation, and this makes them to show their own pros. and cons. -
On Performance Optimization and System Design of Flash Memory Based Solid State Drives in the Storage Hierarchy
ON PERFORMANCE OPTIMIZATION AND SYSTEM DESIGN OF FLASH MEMORY BASED SOLID STATE DRIVES IN THE STORAGE HIERARCHY DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Feng Chen, B.E., M.E., M.S. Graduate Program in Computer Science and Engineering The Ohio State University 2010 Dissertation Committee: Xiaodong Zhang, Adviser Ten-Hwang Lai Russell M. Pitzer Feng Qin © Copyright by Feng Chen 2010 ABSTRACT As an emerging storage technology, Flash Memory based Solid State Drive (SSD) has shown a high potential to fundamentally change the existing Hard Disk Drive (HDD) based storage systems. Unlike conventional magnetic disks, SSD is built on semiconductor chips and has no mechanical components (e.g. rotating disk platters). This architectural differ- ence brings many attractive technical features, such as high random data access perfor- mance and low power consumption. Most importantly, these unique features could poten- tially address the long-existing technical limitations of conventional magnetic disks. Due to this reason, SSD has been called a ‘pivotal technology’ that may completely revolutionize current computer storage systems. On the other hand, SSD also poses several critical challenges to application and system designers. First, due to divergent internal structures, SSD is fundamentally different from rotating media, although they share the same logical and physical interfaces. To date we still lack an insightful understanding about the performance characteristics of SSDs, both the positive and negative sides, and their implications to application and system designers. In this dissertation, we present a thorough experimental study on the unique features of SSDs. -
Accelerating Data Accessing by Exploiting Flash Memory Technologies
University of Rhode Island DigitalCommons@URI Open Access Dissertations 2019 ACCELERATING DATA ACCESSING BY EXPLOITING FLASH MEMORY TECHNOLOGIES Jing Yang University of Rhode Island, [email protected] Follow this and additional works at: https://digitalcommons.uri.edu/oa_diss Recommended Citation Yang, Jing, "ACCELERATING DATA ACCESSING BY EXPLOITING FLASH MEMORY TECHNOLOGIES" (2019). Open Access Dissertations. Paper 892. https://digitalcommons.uri.edu/oa_diss/892 This Dissertation is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Dissertations by an authorized administrator of DigitalCommons@URI. For more information, please contact [email protected]. ACCELERATING DATA ACCESSING BY EXPLOITING FLASH MEMORY TECHNOLOGIES BY JING YANG A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN ELECTRICAL, COMPUTER AND BIOMEDICAL ENGINEERING UNIVERSITY OF RHODE ISLAND 2019 DOCTOR OF PHILOSOPHY DISSERTATION OF JING YANG APPROVED: Dissertation Committee: Major Professor Qing Yang Resit Sendag Ying Zhang Nasser H. Zawia DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2019 ABSTRACT Flash memory based SSD (solid state Drive) receives a lot of attention re- cently. SSD is a semiconductor device which provides great advantages in terms of high-speed random reads, low power consumption, compact size, and shock resis- tance. Traditional storage systems and algorithms are designed for hard disk drive (HDD), they do not work well on SSD because of SSD's asymmetric read/write performances and unavoidable internal activities, such as garbage collection (GC). There is a great need to optimize current storage systems and algorithms to accel- erate data access in SSD. -
The Effect of Flashcache and Bcache on I/O Performance
The Effect of Flashcache and Bcache on I/O Performance Christopher Hollowell <[email protected]> RHIC/ATLAS Computing Facility Brookhaven National Laboratory Co-authors: Jason Smith, Richard Hogue, Alexandr Zaytsev, William Strecker-Kellogg, Tony Wong October 15, 2013 Introduction x86_64 server CPU core counts are continuing to increase Intel server processor logical core counts: Generation Name Max Logical Cores Per Physical CPU Current Sandy Bridge 16 Near Future Ivy Bridge 24 (30 rumored with Ivy Bridge-EX) Future Haswell 16-20 physical cores expected = 32-40 logical cores Typical HEP/NP model: 1 batch job slot per logical core More jobs per system have lead to a growing demand for local scratch and remote storage random I/O performance Primarily interested in scratch storage performance for this study Solid state drives (SSDs) provide excellent random I/O performance when compared to traditional rotating drives Also very expensive when compared to traditional SATA/SAS drives 1 TB SSDs typically retail near $1,000 USD Can be over $2,500 for enterprise drives from server vendors Enterprise drives needed in high write volume environments 1 TB SATA drives typically retail under $100 2 Introduction (Cont.) Increasing spindle count helps with random I/O: Large software RAID0 arrays have excellent random I/O performance characteristics, and are well suited for local scratch use Need to buy many traditional drives, which can also be fairly costly Hybrid SSD drives? SSD/flash memory cache in front of traditional rotating media Commodity hardware hybrid drives available from Seagate for reasonable prices Unfortunately, not currently sold or supported by large server vendors such as Dell Software defined hybrid SSD devices for Linux Flashcache Bcache 3 Flashcache Linux kernel module which provides software devices with block caching on SSDs or other fast storage. -
Integration of Non-Volatile Memory Into Storage Hierarchy
INTEGRATION OF NON-VOLATILE MEMORY INTO STORAGE HIERARCHY A Dissertation by SHENG QIU Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Chair of Committee, A.L.Narasimha Reddy Committee Members, Riccardo Bettati Krishna Narayanan Paul Gratz Head of Department, Chanan Singh December 2013 Major Subject: Computer Engineering Copyright 2013 Sheng Qiu ABSTRACT In this dissertation, we present novel approaches for integrating non-volatile memory devices into storage hierarchy of a computer system. There are several types of non- volatile memory devices, such as flash memory, Phase Change Memory (PCM), Spin- transfer torque memory (STT-RAM). These devices have many appealing features for applications, however, they also offer several challenges. This dissertation is focused on how to efficiently integrate these non-volatile memories into existing memory and disk storage systems. This work is composed of two major parts. The first part investigates a main-memory system employing Phase Change Mem- ory instead of traditional DRAM. Compared to DRAM, PCM has higher density and no static power consumption, which are very important factors for building large capacity memory systems. However, PCM has higher write latency and power con- sumption compared to read operations. Moreover, PCM has limited write endurance. To efficiently integrate PCM into a memory system, we have to solve the challenges brought by its expensive write operations. We propose new replacement policies and cache organizations for the last-level CPU cache, which can effectively reduce the write traffic to the PCM main memory. -
Flashtier: a Lightweight, Consistent and Durable Storage Cache
FlashTier: a Lightweight, Consistent and Durable Storage Cache Mohit Saxena, Michael M. Swift and Yiying Zhang University of Wisconsin-Madison {msaxena,swift,yyzhang}@cs.wisc.edu Abstract slow disks [9, 22]. This provides the performance of flash The availability of high-speed solid-state storage has intro- with the cost of disk for large data sets, and is actively used duced a new tier into the storage hierarchy. Low-latency and by Facebook and others to provide low-latency access to high-IOPS solid-state drives (SSDs) cache data in front of petabytes of data [10, 32, 36]. Many vendors sell dedicated high-capacity disks. However, most existing SSDs are de- caching products that pair an SSD with proprietary software signed to be a drop-in disk replacement, and hence are mis- that runs in the OS to migrate data between the SSD and matched for use as a cache. disks [12, 19, 30] to improve storage performance. This paper describes FlashTier, a system architecture Building a cache upon a standard SSD, though, is hin- built upon solid-state cache (SSC), a flash device with an dered by the narrow block interface and internal block man- interface designed for caching. Management software at the agement of SSDs, which are designed to serve as a disk re- operating system block layer directs caching. The FlashTier placement [1, 34, 39]. Caches have at least three different design addresses three limitations of using traditional SSDs behaviors that distinguish them from general-purpose stor- for caching. First, FlashTier provides a unified logical ad- age. -
ACCELERATING DATA ACCESSING by EXPLOITING FLASH MEMORY TECHNOLOGIES Jing Yang University of Rhode Island, [email protected]
University of Rhode Island DigitalCommons@URI Open Access Dissertations 2019 ACCELERATING DATA ACCESSING BY EXPLOITING FLASH MEMORY TECHNOLOGIES Jing Yang University of Rhode Island, [email protected] Follow this and additional works at: https://digitalcommons.uri.edu/oa_diss Terms of Use All rights reserved under copyright. Recommended Citation Yang, Jing, "ACCELERATING DATA ACCESSING BY EXPLOITING FLASH MEMORY TECHNOLOGIES" (2019). Open Access Dissertations. Paper 892. https://digitalcommons.uri.edu/oa_diss/892 This Dissertation is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Dissertations by an authorized administrator of DigitalCommons@URI. For more information, please contact [email protected]. ACCELERATING DATA ACCESSING BY EXPLOITING FLASH MEMORY TECHNOLOGIES BY JING YANG A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN ELECTRICAL, COMPUTER AND BIOMEDICAL ENGINEERING UNIVERSITY OF RHODE ISLAND 2019 DOCTOR OF PHILOSOPHY DISSERTATION OF JING YANG APPROVED: Dissertation Committee: Major Professor Qing Yang Resit Sendag Ying Zhang Nasser H. Zawia DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2019 ABSTRACT Flash memory based SSD (solid state Drive) receives a lot of attention re- cently. SSD is a semiconductor device which provides great advantages in terms of high-speed random reads, low power consumption, compact size, and shock resis- tance. Traditional storage systems and algorithms are designed for hard disk drive (HDD), they do not work well on SSD because of SSD's asymmetric read/write performances and unavoidable internal activities, such as garbage collection (GC). There is a great need to optimize current storage systems and algorithms to accel- erate data access in SSD.