Lesson 7c: Distributed File Systems
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Questions and Answers

What are the two main goals of DFS in terms of memory utilization?

The two main goals are metadata management and file caching.

How does cooperative caching in DFS reduce disk access?

Cooperative caching allows file data to be served from a peer node's memory, minimizing direct disk access.

Why is a thorough understanding of file systems essential for grasping DFS principles?

It is essential because knowledge of file systems aids in understanding how DFS manages files and metadata across distributed nodes.

What is one significant difference between NFS and DFS regarding scalability?

<p>NFS uses a centralized server model, while DFS distributes files and metadata across multiple nodes to improve scalability.</p> Signup and view all the answers

List two advantages of using DFS over traditional file systems.

<p>DFS provides greater I/O bandwidth and distributed metadata management.</p> Signup and view all the answers

What potential structure can DFS operate under to improve resource efficiency?

<p>DFS can operate as a serverless structure, allowing nodes to function interchangeably as clients or servers.</p> Signup and view all the answers

How does careful design influence the practical implementation of DFS?

<p>Careful design maximizes caching, balances load, and efficiently leverages peer memory.</p> Signup and view all the answers

What role does cooperative caching play in improving network resource utilization?

<p>Cooperative caching allows nodes to retrieve data from each other's memory rather than relying on slow disk storage.</p> Signup and view all the answers

What is the primary limitation of the centralized server model in traditional Network File Systems (NFS)?

<p>The primary limitation is the scalability bottleneck, where a single server must handle all client requests, leading to performance degradation as user demand increases.</p> Signup and view all the answers

How does server caching improve performance in traditional NFS?

<p>Server caching improves performance by storing frequently accessed files in memory, allowing quicker response times by serving files from the cache instead of accessing the disk.</p> Signup and view all the answers

What is the goal of implementing a Distributed File System (DFS)?

<p>The goal of implementing a DFS is to address scalability limitations of NFS by distributing files and metadata across multiple servers to enhance throughput and reduce bottlenecks.</p> Signup and view all the answers

Explain the concept of 'Cooperative Caching' in DFS.

<p>Cooperative Caching in DFS allows clients to retrieve file data from other clients that have accessed the same file, reducing load on servers and improving data access times.</p> Signup and view all the answers

What role does distributed metadata management play in a Distributed File System?

<p>Distributed metadata management divides metadata responsibilities across multiple servers, reducing the load on any single server and enhancing overall system performance.</p> Signup and view all the answers

What advantages does a serverless file system provide over traditional client-server architectures?

<p>A serverless file system allows all nodes to act as both clients and servers, eliminating the traditional client-server hierarchy and increasing system resilience and scalability.</p> Signup and view all the answers

Describe how I/O bandwidth is enhanced in a Distributed File System.

<p>I/O bandwidth in a DFS is enhanced by leveraging the cumulative bandwidth of all servers in the network, allowing for improved data throughput across multiple nodes.</p> Signup and view all the answers

In what way does DFS expand caching capacity compared to traditional NFS?

<p>DFS expands caching capacity by utilizing the collective memory of all servers and clients, providing a larger memory footprint for file caching.</p> Signup and view all the answers

What are the main benefits of using RAID?

<p>RAID increases I/O bandwidth and provides failure protection through error correction codes stored on additional disks.</p> Signup and view all the answers

How does RAID utilize multiple disks to enhance server performance?

<p>RAID combines multiple disks to allow parallel data access, improving I/O bandwidth for file systems.</p> Signup and view all the answers

What trade-off is associated with the higher hardware costs of RAID?

<p>The trade-off includes the need for multiple disks to achieve greater performance and data redundancy.</p> Signup and view all the answers

What is the foundational concept of RAID that addresses future performance challenges?

<p>The foundational concept of RAID is using multiple disks to increase I/O bandwidth, which is crucial for enhancing performance in file systems.</p> Signup and view all the answers

What does RAID stand for and what is its primary purpose?

<p>RAID stands for Redundant Array of Inexpensive Disks, and its primary purpose is to increase I/O bandwidth and provide data redundancy.</p> Signup and view all the answers

How does RAID improve read and write speeds for files?

<p>RAID improves read and write speeds by striping files across multiple disks, allowing simultaneous access.</p> Signup and view all the answers

Explain the role of error-correcting codes (ECC) within RAID.

<p>Error-correcting codes (ECC) in RAID detect and correct errors that may occur during disk reads, enhancing data reliability.</p> Signup and view all the answers

What is the small write problem in RAID, and why is it significant?

<p>The small write problem occurs when small files require access to all disks, leading to inefficiency and increased access time.</p> Signup and view all the answers

Describe the recovery process in RAID when a disk error occurs.

<p>When a disk error occurs, the error-correcting code stored on an additional disk is used to reconstruct the missing or damaged data.</p> Signup and view all the answers

What are the drawbacks of using RAID technology?

<p>The drawbacks of RAID technology include increased hardware costs due to multiple disks and the inefficiency posed by the small write problem.</p> Signup and view all the answers

In RAID, what happens to a file divided into parts when written across disks?

<p>When a file is written in RAID, it is divided into parts, with each part being stored on a separate disk along with a checksum on an additional disk.</p> Signup and view all the answers

How does file striping contribute to increased I/O bandwidth in RAID?

<p>File striping contributes to increased I/O bandwidth by enabling parallel access to different parts of a file stored on separate disks.</p> Signup and view all the answers

What technique does Log Structured File Systems (LFS) use to address the small write problem?

<p>LFS aggregates changes into log segments and writes them to disk sequentially, rather than rewriting entire files.</p> Signup and view all the answers

How does the in-memory buffering work in LFS?

<p>Changes are buffered in memory as contiguous log segments until they reach a certain threshold to be written to disk.</p> Signup and view all the answers

What is the purpose of log cleaning in LFS?

<p>Log cleaning aims to remove outdated log entries and reclaim disk space by consolidating valid entries.</p> Signup and view all the answers

Explain how LFS reconstructs a file during a read operation.

<p>LFS reconstructs a file by combining the relevant log segments from disk into a coherent file extension.</p> Signup and view all the answers

What is a log hole in the context of Log Structured File Systems?

<p>A log hole refers to invalidated log entries that occupy disk space without holding valid data.</p> Signup and view all the answers

What is the primary data structure used in LFS to manage file changes?

<p>LFS uses append-only logs to manage file changes, maintaining log files instead of traditional data files.</p> Signup and view all the answers

How do log segments benefit from RAID in terms of I/O performance?

<p>Log segments can be striped across multiple disks in RAID, maximizing I/O bandwidth and improving performance.</p> Signup and view all the answers

Describe the initial read latency associated with files in LFS.

<p>Initial read latency occurs because the file must be reconstructed from multiple log segments on disk.</p> Signup and view all the answers

What is a primary storage medium in Log Structured File Systems (LFS)?

<p>Logs serve as the primary storage medium in LFS.</p> Signup and view all the answers

How do Log Structured File Systems (LFS) handle small writes efficiently?

<p>LFS aggregates file changes into larger log segments for sequential writing.</p> Signup and view all the answers

What is one key disadvantage of LFS related to file access?

<p>Initial read latency occurs due to the need to reconstruct files from logs.</p> Signup and view all the answers

Why is regular log cleaning required in LFS?

<p>Log cleaning is necessary to manage disk space and prevent excessive storage of outdated logs.</p> Signup and view all the answers

How do journaling file systems differ from LFS regarding data files?

<p>Journaling file systems maintain both data files and temporary log files, while LFS only uses logs.</p> Signup and view all the answers

What benefits does RAID technology provide to LFS performance?

<p>RAID enhances LFS by allowing sequential writes across multiple disks, improving disk efficiency.</p> Signup and view all the answers

How does LFS's approach to data storage contrast with traditional file systems?

<p>LFS only stores logs, requiring reconstruction of data, while traditional systems maintain direct access to data files.</p> Signup and view all the answers

What problem does the log segment aggregation in LFS aim to solve?

<p>It seeks to resolve the inefficiencies associated with handling small write operations.</p> Signup and view all the answers

Study Notes

Traditional Network File Systems (NFS)

  • Centralized server model where clients access a single file server.
  • Servers can be partitioned for different user groups.
  • Clients view the server as a central resource.
  • Servers cache files in memory to speed up access.

Limitations of Centralized Servers

  • Single server becomes a bottleneck as user demand increases.
  • Limited I/O bandwidth for transferring data and metadata.
  • Restricted cache size due to limited server memory.

Distributed File Systems (DFS)

  • Goal: Address scalability limitations of NFS by distributing files and metadata across multiple servers.
  • Key features:
    • Distributed file storage: Files spread across multiple nodes.
    • Increased I/O bandwidth: Cumulative bandwidth of all servers for data transfer.
    • Distributed metadata management: Metadata load shared across multiple servers.
    • Expanded caching capacity: Larger memory footprint for file caching by leveraging all servers and clients.
    • Cooperative caching: Clients can get file data from other clients that have accessed the same file, reducing server and disk access.

Serverless File Systems

  • All nodes in the network can act as both clients and servers.
  • Eliminates the client-server hierarchy, making it a fully decentralized system.

DFS Goals and Cooperative Caching

  • Efficient use of cumulative memory of the cluster for metadata management and file caching.
  • Cooperative caching allows nodes to retrieve data from peer nodes' memory, minimizing disk access.

Importance of File System Knowledge

  • Understanding file systems is crucial for grasping DFS principles and operations.

Key Takeaways

  • NFS uses a centralized server model which limits scalability.
  • DFS distributes files and metadata to improve scalability and performance.
  • DFS advantages:
    • Increased I/O bandwidth.
    • Distributed metadata management.
    • Expanded caching capacity.
    • Cooperative caching.
  • Serverless file systems eliminate the need for a dedicated server, enabling efficient use of network resources.
  • Strong understanding of file systems is essential for designing and implementing DFS efficiently.

RAID Technology Overview

  • Combines multiple disks to increase I/O bandwidth (parallel access)
  • Provides data redundancy and failure protection through error correction codes

RAID's Impact on File Storage

  • Files are striped across multiple disks, allowing simultaneous access to different file parts, improving read and write speeds
  • Each file part is stored on a different disk
  • An additional disk stores error-correcting codes (checksums) to rebuild data if a disk fails

Small Write Problem

  • Definition: Inefficiency when storing small files across multiple disks in RAID
  • Challenge: Small files are spread across all disks, requiring every disk to be accessed for read/write operations, even for minor data changes
  • Impact: Small writes cause performance bottlenecks due to overhead associated with accessing multiple disks for small data amounts
  • This inefficiency is particularly pronounced in file systems with a mix of small and large files

RAID Advantages

  • Increased I/O bandwidth through parallel disk access
  • Failure protection via error correction codes

RAID Disadvantages

  • Higher hardware cost due to multiple disk requirement
  • Small Write Problem - Inefficient for small files, causing performance overhead

Future Considerations

  • Solving the small write problem requires further development.
  • RAID technology remains essential for enhancing server performance in file systems that utilize a mix of file sizes due to its benefits for large files and high-bandwidth applications.

Log-Structured File Systems (LFS)

  • Goal: Optimize small write operations
  • Mechanism: Aggregates changes to files into log segments in memory and writes them to disk sequentially in large blocks
  • Why it works: Avoids writing small files individually which results in inefficient disk access
  • Key advantages:
    • Optimized for small writes
    • Improves disk performance due to sequential writes
    • Efficient use of disk bandwidth
  • Key disadvantages:
    • Increased latency for the first read since the file must be reconstructed from log segments on disk
    • Requires periodic log cleaning to reclaim space and avoid excessive irrelevant logs

Concepts

  • Log segment: Contains log records of changes for multiple files and is periodically flushed to disk (written in contiguous blocks)
  • Append-only logs: All changes are written as append-only logs, no data files are written directly
  • Disk Reads: To read a file, the file system reconstructs it from log segments
  • Caching: Once read and reconstructed, a file resides in the server's memory cache to avoid repeated reconstruction

Comparison with Journaling File Systems

  • Journaling File Systems: Maintain both data files and short-lived log files. Logs are written temporarily and applied to the data files then discarded
  • LFS: Only maintains logs. No data files. Files are reconstructed from logs when accessed from disk

Log Hole

  • How it happens: Multiple changes to the same data block can result in invalidated log entries
  • Result: Space on disk is occupied by outdated entries that are no longer needed
  • Log Cleaning: A process to reclaim disk space by identifying outdated entries, consolidating valid information, and removing holes

Short Summary

  • LFS solves the small write problem by aggregating file changes into log segments in memory and writing them to disk sequentially.
  • It enhances disk performance by leveraging RAID and its characteristics.
  • It has drawbacks like initial read latency and the need for periodic log cleaning .
  • LFS offers an alternative to journaling file systems with its focus on logs as the primary data storage mechanism.

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Description

Explore the concepts of Traditional Network File Systems (NFS) and Distributed File Systems (DFS) in this quiz. Understand the advantages of DFS in overcoming scalability limitations and enhancing performance through distributed architecture. Test your knowledge on how these systems manage files, metadata, and I/O bandwidth.

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