Nfs distributed systems issues
Download
1 / 22

NFS & Distributed Systems Issues - PowerPoint PPT Presentation


  • 63 Views
  • Uploaded on

NFS & Distributed Systems Issues. Vivek Pai Dec 6, 2001. Mechanics. A few words about Project 5 It’s not just another webserver project. The Next Project. Behavioral spec Implementation up to you Can assume max of 128 procs/threads Use a simple counter to implement simple counts

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' NFS & Distributed Systems Issues' - ted


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Nfs distributed systems issues

NFS & Distributed Systems Issues

Vivek Pai

Dec 6, 2001


Mechanics
Mechanics

  • A few words about Project 5

    • It’s not just another webserver project


The next project
The Next Project

  • Behavioral spec

  • Implementation up to you

  • Can assume max of 128 procs/threads

  • Use a simple counter to implement simple counts

  • I may release a tool to test easier


Behavioral spec
Behavioral Spec

The following behavioral spec is important

  • If there aren’t enough free processes/threads, the server should spawn one per second

  • If there are too many free, one should be killed per second

  • This should not depend on any other activity in the system


Caching mmap
Caching Mmap

  • Always use mmap

  • Keep cache of active & inactive maps

  • Total cache size in KB should be limited by command-line argument

  • Can only exceed this limit if all mappings are active


Man pages you may like
Man Pages You May Like

  • Mmap, munmap

  • Man –k pthread

  • Flock

  • Sleep

  • Signal

  • Alarm


Being a good user
Being A Good User

  • Do not fork wildly

  • Try to test on non-shared system


Imagine the following
Imagine The Following

  • Everyone has a desktop machine

  • Each machine has a user

  • Each user has a home directory

  • What problems arise?

    • Can’t move between machines

    • Can’t easily share files with others

    • How does this data get backed up?


Was it always like this
Was It Always Like This?

  • No

  • Think mainframes:

    • Big, centralized box

    • All disks attached

    • Programs ran on box

    • Only terminals/monitors on each desk


How did we get here
How Did We Get Here?

  • Mainframe killers advocated little boxes

  • Lots of little boxes are a distributed system

  • Distributed systems introduce new problems


Why use little boxes
Why Use Little Boxes?

  • Little boxes are cheap

    • Easier to order a PC than a mainframe

  • Little boxes are disposable

    • No need for a maintenance contract

  • Economy of scale

    • Design cost amortized over more units


Were minis immune
Were Minis Immune?

  • Minicomputers were “department”-sized versus “company”-sized

  • Most information not shared among everyone

  • Administrator per department OK

  • Shared resources only within department OK


Why not just shared disk
Why Not Just Shared Disk?

  • Centralized storage

    • Easier administration/backup

    • Better use of capacity

    • Easier to build large filesystem cache

    • Easier to provide AC/power

  • Problem: compare bandwidth

    • 10 Mbit/sec Ethernet at the time

    • Switched versus shared irrelevant


New problem
New Problem

  • Single point of failure

    • Means everything depends on this item

    • In other cases, duplication helps

  • Common failures = reboot

    • But all information (state) lost

    • All clients would have to be told

    • We’d need to keep track of all clients

      • On stable storage!


Toward statelessness
Toward Statelessness

  • Make server as dumb as possible

  • Shift burdens to client-side

  • Client failure only harms that client

  • Each operation is self-contained

  • Repeating operations permissible

    • Idempotent – repeating causes no change


Idempotency
Idempotency

  • Regular Unix system call

    • Write(fd, buf, size)

    • Writes size bytes at current position, moves position forward by size

  • Idempotent version

    • Pwrite(fd, buf, size, offset)

    • Idempotent operations in NFS hidden from user programs


Distributed caching
Distributed Caching

  • Local filesystems have caches

  • Use caches to offload network traffic

    • Same object replicated in many caches

    • No problem for reads

  • What happens on write/update?

    • Multiple different copies of data?

    • What happens if it’s metadata?


Distributed write problem
Distributed Write Problem

  • Possible approaches

    • Disallow caching on writes

      • What about emacs?

    • Disallow caching of shared files

      • What happens for really big files?

    • Disallow caching of metadata writes

  • What disk blocks does OS care about?


Sun s write philosophy
Sun’s Write Philosophy

  • File block write sharing not an issue

  • Very few programs do it

  • Correctness depends on program

  • Reduce window of opportunity

    • Flush dirty blocks periodically

    • Flush can be asynchronous


Metadata operations
Metadata Operations

  • Performed synchronously at server

  • Must be reflected to disk

    • Why: stability

    • Overhead: disk op + network

  • Can we speed up synchronous ops?


New statelessness problems
New Statelessness Problems

  • Stale file handle problem

    • cd ~vivek/temp1/temp in window A

    • rm –r ~vivek/temp1 in window B

    • “ls” in window A

  • Stale inode problem

    • Machine A gets file for read

    • Filesystem reformatted by admin

    • Machine A modifies file, tries to write


What slows down servers
What Slows Down Servers

  • Network overhead

    • Disk DMA in 4KB pieces

    • Network processing in 1500 byte packets + manipulation

    • Multiple CPUs

  • Synchronous operations

    • Nonvolatile memory + recovery


ad