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Distributed file systems can be optimized for different purposes. Some, such as those designed for internet services, including GFS, are optimized for scalability. Other designs for distributed file systems support performance-intensive applications usually executed in parallel.<ref>{{harvnb|Soares| Dantas†|de Macedo|Bauer|2013|p=158}}</ref> Some examples include: [[MapR FS|MapR File System]] (MapR-FS), [[Ceph (storage)|Ceph-FS]], [[BeeGFS|Fraunhofer File System (BeeGFS)]], [[Lustre (file system)|Lustre File System]], [[IBM General Parallel File System]] (GPFS), and [[Parallel Virtual File System]].
 
MapR-FS is a distributed file system that is the basis of the MapR Converged Platform, with capabilities for distributed file storage, a NoSQL database with multiple APIs, and an integrated message streaming system. MapR-FS is optimized for scalability, performance, reliability, and availability. Its file storage capability is compatible with the Apache Hadoop Distributed File System (HDFS) API but with several design characteristics that distinguish it from HDFS. Among the most notable differences are that MapR-FS is a fully read/write filesystem with metadata for files and directories distributed across the namespace, so there is no NameNode.<ref name="mapr-productivity">{{cite web|last1=Perez|first1=Nicolas|title=How MapR improves our productivity and simplifies our design|url=https://medium.com/@anicolaspp/how-mapr-improves-our-productivity-and-simplify-our-design-2d777ab53120#.mvr6mmydr|website=Medium|access-date=June 21, 2016|date=2016-01-02}}</ref><ref>{{cite web|last1=Woodie|first1=Alex|title=From Hadoop to Zeta: Inside MapR's Convergence Conversion|url=http://www.datanami.com/2016/03/08/from-hadoop-to-zeta-inside-maprs-convergence-conversion/|website=Datanami|publisher=Tabor Communications Inc.|access-date=June 21, 2016|date=2016-03-08}}</ref><ref>{{cite web|last1=Brennan|first1=Bob|title=Flash Memory Summit|url=https://www.youtube.com/watch?v=fOT63zR7PvU&t=1682|website=youtube|publisher=Samsung|access-date=June 21, 2016}}</ref><ref name="maprfs-video">{{cite web|last1=Srivas|first1=MC|title=MapR File System|url=https://www.youtube.com/watch?v=fP4HnvZmpZI|website=Hadoop Summit 2011|date=23 July 2011 |publisher=Hortonworks|access-date=June 21, 2016}}</ref><ref name="real-world-hadoop">{{cite book|last1=Dunning|first1=Ted|last2=Friedman|first2=Ellen|title=Real World Hadoop|date=January 2015|publisher=O'Reilly Media, Inc|___location=Sebastopol, CA|isbn=978-1-4919-2395-5|pages=23–28|edition=First|chapter-url=http://shop.oreilly.com/product/0636920038450.do|access-date=June 21, 2016|language=en|chapter=Chapter 3: Understanding the MapR Distribution for Apache Hadoop}}</ref>
 
Ceph-FS is a distributed file system that provides excellent performance and reliability.<ref>{{harvnb|Weil|Brandt|Miller|Long|2006|p=307}}</ref> It answers the challenges of dealing with huge files and directories, coordinating the activity of thousands of disks, providing parallel access to metadata on a massive scale, manipulating both scientific and general-purpose workloads, authenticating and encrypting on a large scale, and increasing or decreasing dynamically due to frequent device decommissioning, device failures, and cluster expansions.<ref>{{harvnb|Maltzahn|Molina-Estolano|Khurana|Nelson|2010|p=39}}</ref>
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| year = 2012
| doi = 10.1109/ClusterW.2012.27
| others = Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
| s2cid = 12430485
| chapter = A Novel Scalable Architecture of Cloud Storage System for Small Files Based on P2P
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| year = 2013
| doi = 10.1109/CTS.2013.6567222
| others = Information and Computer Science Department King Fahd University of Petroleum and Minerals
| s2cid = 45293053
| pages = 155–161
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| conference-url = https://ieeexplore.ieee.org/xpl/conhome/6008655/proceeding
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| others = Grad. Sch. of Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba, Japan
}}
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| year = 2012
| doi = 10.1109/ICAICT.2012.6398489
| others = Department of Computer Engineering Qafqaz University Baku, Azerbaijan
| s2cid = 6113112
| pages = 1–5
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| first4 =Yu-Chang
| title = Load Rebalancing for Distributed File Systems in Clouds
| periodicaljournal = IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on
| year = 2013
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| year = 2013
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| year = 2013
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| year = 2012
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| others = Comput. Eng. Dept., Qafqaz Univ., Baku, Azerbaijan
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| chapter = Distributed file system as a basis of data-intensive computing
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| year = 2003
| url = https://www.kernel.org/doc/ols/2003/ols2003-pages-380-386.pdf
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#* {{cite journal
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|url = https://computing.llnl.gov/code/sio/GPFS_performance.pdf
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| year = 2003
| doi = 10.1109/MASS.2003.1194865
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| others = Storage Syst. Res. Center, California Univ., Santa Cruz, CA, USA
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| year = 2011
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| chapter = A carrier-grade service-oriented file storage architecture for cloud computing
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| isbn = 978-1-58113-757-6
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| chapter-url = https://www.semanticscholar.org/paper/7b56847e641168aed58f3603bc00af84d414c9aa
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# Security
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| year = 2009
| doi = 10.1109/I-SPAN.2009.150
| pages = 4–16▼
| others = Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Melbourne, VIC, Australia
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| chapter = High-Performance Cloud Computing: A View of Scientific Applications
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| year = 2012
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| chapter = PsFS: A high-throughput parallel file system for secure Cloud Storage system
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| year = 2003
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| s2cid = 16233643
| title =Data Security in the World of Cloud Computing
| periodicaljournal = IEEE Security & Privacy, IEEE
| year = 2009
| doi = 10.1109/MSP.2009.87
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| year = 2012
| doi = 10.1109/Grid.2012.17
| s2cid = 10778240▼
| others = Dept. of Comput. Sci., Hefei Univ. of Technol., Hefei, China
▲ | s2cid = 10778240
| pages = 12–21
| chapter = A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services
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| year = 2012
| doi = 10.1109/SC.Companion.2012.103
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| others = Dept. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
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| pages = 753–759
| chapter = Integrating High Performance File Systems in a Cloud Computing Environment
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| year = 2012
| doi = 10.1109/ISPACS.2012.6473485
| s2cid = 18260943▼
| others = Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Taoyuan, Taiwan
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| pages = 227–232
| chapter = Implement a reliable and secure cloud distributed file system
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| year = 2012
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| s2cid = 19798809▼
| others = Dept. of Electr., Electron. & Comput. Eng., Univ. of Catania, Catania, Italy
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| chapter = File System As-a-Service: Providing Transient and Consistent Views of Files to Cooperating Applications in Clouds
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| isbn = 978-1-4577-1904-2
}}
#* {{cite journalbook
| last1 = Qian
| first1 = Haiyang
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| last3 = T.
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| title = 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops
| titlechapter = A hierarchical model to evaluate quality of experience of online services hosted by cloud computing
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| pages = 105–112
| journal=Communications of the ACM| volume = 52 |number= 1
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| doi = 10.1109/CLUSTERWKSP.2010.5613087
| pages = 1–4
| others =Inst. of Comput. Sci. (ICS), Found. for Res. & Technol. - Hellas (FORTH), Heraklion, Greece
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| chapter = Cloud-based synchronization of distributed file system hierarchies
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| s2cid = 16233643
| title = Data Security in the World of Cloud Computing
| periodicaljournal = IEEE Security & Privacy, IEEE
| year = 2009
| doi = 10.1109/MSP.2009.87
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| year = 2011
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|others= Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
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| chapter = Suitability of Cloud Computing for Scientific Data Analyzing Applications; an Empirical Study
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