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Outline Review of Quiz #1 Distributed File Systems 4/20/2019 COP5611.

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Presentation on theme: "Outline Review of Quiz #1 Distributed File Systems 4/20/2019 COP5611."— Presentation transcript:

1 Outline Review of Quiz #1 Distributed File Systems 4/20/2019 COP5611

2 Distributed File Systems
A distributed file system is a resource management component in a distributed operating systems It implements a common file system shared by all the computers in the systems Two important goals Network transparency High availability 4/20/2019 COP5611

3 Architecture 4/20/2019 COP5611

4 Architecture – cont. Normally for performance reasons distributed file systems are organized as a client-server architecture File servers store files and perform storage and retrieval upon client’s requests Two most important parts are Name server Cache manager 4/20/2019 COP5611

5 Architecture – cont. 4/20/2019 COP5611

6 Architecture – cont. 4/20/2019 COP5611

7 Mounting Mounting is a way to bind together different file systems to form a single hierarchical structured name space It is widely used in both local and distributed UNIX machines In distributed file systems, file systems maintained by remote servers are mounted at the clients 4/20/2019 COP5611

8 Mounting – cont. 4/20/2019 COP5611

9 Mounting – cont. 4/20/2019 COP5611

10 Mounting – cont. 4/20/2019 COP5611

11 Mounting – cont. 4/20/2019 COP5611

12 Automounting - cont. 4/20/2019 COP5611

13 Automounting – cont. 4/20/2019 COP5611

14 Caching Caching is commonly used in distributed file systems to reduce delays in accessing the data In file caching, a copy of the data stored at a remote file server is brought to the client, reducing access delays due to network latency The effectiveness of caching is based on the temporal locality in programs Files can also be cached at the server side 4/20/2019 COP5611

15 Client Caching 4/20/2019 COP5611

16 Client Caching – cont. 4/20/2019 COP5611

17 Cache Consistency 4/20/2019 COP5611

18 Hints An alternative approach to caching
The cached data is treated as hints The cached data is not guaranteed to be completely accurate The cache consistency issue is ignored in this implementation This is useful for applications which can recover from invalid cached data 4/20/2019 COP5611

19 Bulk Data Transfer Bulk data transfer is to transfer multiple data blocks instead of just the block being referenced by the client Temporal locality and the fact that most files are accessed in their entirety Reduce the network communication overhead by reducing the cost of executing communication protocols 4/20/2019 COP5611

20 Security 4/20/2019 COP5611

21 Naming in Distributed File Systems
A name in file systems is a way to reference a file or a directory Name resolution refers to the process of mapping a name to an object (or in the case of replication, to multiple objects) A name space is collection of names 4/20/2019 COP5611

22 Naming in a Local File System
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23 Naming in a Local File System – cont.
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24 Naming in Distributed File Systems – cont.
Three approaches to naming in distributed file systems The simplest scheme is to concatenate the host name to the names of files Not network transparent Not location-independent Mounting remote directories to local directories Location transparent but not network transparent A single global directory Limited to a few cooperating computers 4/20/2019 COP5611

25 Naming in Distributed File Systems – cont.
Context Content can be used to partition a file name space Here a filename consists of a context and a name local to the context Name resolution involves interpreting the name within a context, which may invoke other contexts recursively 4/20/2019 COP5611

26 Naming in Distributed File Systems – cont.
Name Servers are responsible for name resolution in distributed file systems A name server is a process that maps names specified by clients to stored objects such as files and directories A single name server vs. multiple name servers 4/20/2019 COP5611

27 Caches on Disk or Memory
Cache in main memory vs. cache on a local disk Cache in main memory Advantages Disadvantages Cache on a local disk 4/20/2019 COP5611

28 Writing Policy This is related to the cache consistency
It decides what to do when a cache block at the client is modified Several different policies Write-through Delayed writing policy for some time Delayed writing policy when the file is closed 4/20/2019 COP5611

29 Cache Consistency Schemes to guarantee consistency
Server-initiated approach Servers inform the cache managers whenever the data in client caches become stale Cache managers can retrieve the new data when needed Client-initiated approach Cache managers validate data with the server before returning it to the clients Limited caching 4/20/2019 COP5611

30 Availability Availability is an important issue in distributed file systems Replication is the primary mechanism for enhancing the availability of files in distributed file systems Replication Unit of replication Replica management 4/20/2019 COP5611

31 Scalability Scalability deals with the suitability of the design to support more clients Caching helps reduce the client response time Server-initiated cache invalidation Some clients can be used as servers The structure of the server process also plays a major role in scalability 4/20/2019 COP5611

32 Semantics Semantics of a file system characterize the effects of accesses on files For example, a read operation should return the data (stored) due to the latest write operation Guaranteeing the semantics when employing caching, is difficult and expensive 4/20/2019 COP5611


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