Title: Systems Seminar Schedule
1Systems Seminar Schedule
- Monday, 18 Februrary, 4pm
- New Wine in Old Bottles - Douglas Thain
- 4 March
- No seminar Paradyn/Condor Week
- Tuesday, 19 March, 3pm
- The Microsoft .NET System - Mike Litzkow
- Tuesday, 2 April, 3pm
- Condor and the Grid - Miron Livny
- Monday, 15 April, 4pm
- Exploiting Gray-Box Knowledge of Buffer-Cache
Management - Nathan Burnett - Monday, 29 April, 4pm
- Bridging the Information gap in Storage Protocol
Stacks - Tim Denehy
2New Winein Old BottlesJava on Condor
- Douglas Thain
- University of Wisconsin
- 18 February 2002
3Abstract
- We have added Java support to Condor. Ill tell
you how it works and how to use it. There are
some nifty features for end users. - Adding this code forced us to think about the
fundamental problem of coupling systems and
representing errors. - A lesson One must consider the scope of an error
as well as its detail.
4Disclaimer
- This is still rough around the edges.
- (Someone had to go first!)
5Outline
- Why Java and Condor?
- Architecture
- Initial Experience
- A Little Error Theory
- Changes for the Better
- Conclusions
6Java for Scientific Computing
- Java is emerging as a tool for large scale
(Grande) scientific computing. - More accessible to domain scientists.
- Simplified porting.
- Faster development, debugging.
- User communities are forming
- ACM Java Grande Conference
- The Java Grande Forum
A. Globus, E. Langhirt, M. Livny, R. Ramamurthy,
M. Solomon, and S. Traugott. JavaGenes and
Condor Cycle-Scavenging genetic algorithms. ACM
Conf on Java Grande, 2000.
7Limitations
- Java floating point and complex arithmetic do not
yet satisfy all of the scientific community. - Arguments continue between industry and academia.
- Java is yet slower than comparable programs in
C/C/Fortran. - WAT compilers and JIT compilers are catching up.
- You choose 2x slowdown vs 5x machines.
- Can we really harness 5x machines while still
maintaining platform independence?
8Condor for Scientific Computing
- Condor creates a high-throughput computing system
on a community of computers. - A high-throughput computing system seeks to
maximize the amount of work done over a long
period of time. - A community of computers may be any collection of
machines that agree to work together.
9Condor Enables Ordinary Users
10Top 10 Condor Pools
226 Condor Pools
5576 Condor Hosts
11The Hype
- Java
- Write once, run anywhere!
- Condor
- Submit once, run everywhere!
- The Grid
- Uniform, dependable, consistent, pervasive, and
inexpensive computing.
12The Reality
- Coupling systems is not trivial!
- The easy part
- Putting java in front of the program name.
- The tricky parts
- Java installation messes.
- Unavailable file systems.
- Distinguishing program errors from environmental
errors.
13Outline
- Why Java and Condor?
- Architecture
- Initial Experience
- A Little Error Theory
- Changes for the Better
- Conclusions
14Match Maker
schedd
startd
Job Policies
Machine Policies
Creates the execution environment.
Exports the details, policy, and I/O services.
Home File System
15Home File System
16User Interface
- condor_status -java
- Name JavaVendor Ver State
Activity LoadAv Mem - aish.cs.wisc. Sun Microsy 1.2.2 Owner Idle
0.000 249 - anfrom.cs.wis Sun Microsy 1.2.2 Owner Idle
0.030 249 - babe.cs.wisc. Sun Microsy 1.2.2 Claimed Busy
1.120 123 - ...
- Machines Owner Claimed Unclaimed
Matched Preempting - INTEL/LINUX 514 101 408 5
0 0 - Total 514 101 408 5
0 0
17User Interface
- universe java
- executable Main.class
- jar_files MyLibrary.jar
- input infile
- output outfile
- arguments Main 1 2 3
- queue
condor_submit
18I/O Interface
- Input, output, and error files are automatically
transferred to/from the execution site. - Any other named files may be transferred as well.
- To do online I/O without transferring whole
files, you must make small changes to the code - FileInputStream -gt ChirpInputStream
- FileOutputStream -gt ChirpOutputStream
19Application
Added a new library on existing interfaces. User
must call new constructors.
Chirp I/O Library
Java symbols are fully qualified, so transparent
replacedment of classes is not possible.
Java Standard Libraries
Java Virtual Machine
JNI
Could replace native methods in the JVM, but this
ties us to open-source JVMs.
C Standard Library
Could trap real system calls, but these are
complex (asynchronous, nonblocking, threaded) and
may be difficult to distringuish from the JVMs
own operations.
Operating System
20Outline
- Why Java and Condor?
- Architecture
- Initial Experience
- A Little Error Theory
- Changes for the Better
- Conclusions
21Initial Experience
- Bad news Nearly any unexpected failure would
cause the job to be returned to the user - Out of memory at execution site.
- Java misconfigured at execution site.
- I/O proxy cant initialize.
- Home file system offline.
22Initial Experience
- Although this was correct in some sense -- the
information was true -- it was very frustrating. - Users want to know when their program fails by
design (NullPointerException,) but not if it
fails due to the environment. - What did we do wrong?
23Outline
- Why Java and Condor?
- Architecture
- Initial Experience
- A Little Error Theory
- Changes for the Better
- Conclusions
24A Little Error Theory
- Build on standard definitions from
fault-tolerance and programming languages. - Some brief examples to get the idea.
- Return to Condor and use the theory to understand
our design mistakes.
25Fault Tolerance Terminology
- Failure
- An externally-visible deviation from
specifications. - Error
- An internal data state that leads to a failure.
- Fault
- An external event that creates an error.
A. Avizienis and J.C. Laprie. Dependable
computing From concepts to design diversity.
IEEE 74(5) May 1986.
26Example
FAULT
Client
Server
Hmm, sqrt(4) is...
Hmm, sqrt(9) is...
FAILURE
ERROR
27- Implicit errors
- The system claims to have reached a valid result,
but an auditor claims it is invalid. Example
sqrt(3)2 - Explicit errors
- The system tells us it cannot complete the
desired action. Example file not found. - Escaping errors
- The system detects an error, but has no method of
reporting it, so it escapes by an alternate
route. Example core dump, kernel panic.
John B. Goodenough, Exception Handling issues
and a proposed notation. CACM 18(120, December
1975. K. Ekandham and A. Bernstein. Some new
Transitions in hierarchical level structures.
Operating Systems Review 12(4), 1978.
28Would like to return an explicit error, but a
load insn has no exit code.
Program
Could return a default value, but that creates an
implicit error.
load
data
Escaping error Tell the parent that the program
could not complete.
Virtual Memory System
Backing Store
Physical Memory
29Interface Contracts
- int load( int address )
- The implementor must either compute a result that
conforms to the contract, or is obliged to cause
an escaping error.
C. Hoare. An axiomatic basis for computer
programming. CACM 12(10576-580, October
1969. B. Meyer. Object-Oriented Software
Construction. Prentice Hall, 1997.
30Exceptions
- int open( String filename )
- throws FileNotFound, AccessDenied
- A language with exceptions provides more
structure to the contract. A declared exception
is an explicit error. Yet, escaping errors are
still possible.
31Program
Success, FileNotFound, AccessDenied
open
MemoryCorrupt, DiskOffline, PigeonLost
INTERFACE
Virtual File System
IMPLEMENTATION
Disk
Memory
32Error Scope
- In order to be accepted by end users, a
distributed system must be able to distinguish
between errors computed by the program and errors
forced upon it by the environment. - We use the term scope to draw the distinction.
33Error Scope
- The scope of an error is the portion of the
system that it invalidates. - An error must be delivered to the process
responsible for managing that scope.
Error Scope Handler
FileNotFound File Calling Function
RPC Disconnect Process Parent Process
Cache Coherency Problem Machine Hypervisor or Operator
PVM Node Crash PVM Cluster Parent Process
34Error Detail
- The detail of an error describes in
phenomenological terms the cause of the error. - In the right hands, the detail is useful. In the
wrong hands, the detail can be misleading. - Suppose open returns AccessDenied...
- File is not accessible - Ok.
- Library containing open is not accessible -
Problem!
35Lessons
- Principle 1
- A routine must not generate an implicit error as
a result of receiving an explicit error. - Principle 2
- An escaping error converts a potential implicit
error into an explicit error at a higher level. - Principle 3
- An escaping error must be propagated to the
program that manages the errors scope.
36Outline
- Why Java and Condor?
- Architecture
- Initial Experience
- A Little Error Theory
- Changes for the Better
- Conclusions
37Java and Condor Revisited
- What did we do wrong?
- We focussed on error detail without considering
error scope.
38(No Transcript)
39Java and Condor Revisited
- To fix the system, we revisited the notion of
error scope throughout. - Two examples
- JVM exit code
- I/O errors
40JVM Exit Code
Detail Scope Exit Code
Program exited by completing main Program 0
Program exited through System.exit(x) Program x
Exception Null pointer. Program 1
Exception Out of memory. Virtual Machine 1
Exception Java Misconfigured. Remote Resource 1
Exception Home file system offline. Local Resource 1
Exception Program image corrupt. Job 1
41starter
shadow
Starter Result Program Result
Result File
JVM Result
JVM
Home File System
Result of Execution Attempt Result of Program,
If any.
42I/O Error Scope
- All Java I/O operations throw a single exception
type -- IOException. - Our mistake convert all detected errors into
IOExceptions and pass them to the program. - Makes sense for FileNotFound, but not for
ProxyUnavailable or CredentialsExpired.
43starter
To I/O Proxy
Result of Execution Attempt Result of Program,
If any.
Result File
JVM Result
JVM
Error Outside Program Scope
Error Inside Program Scope
44Outline
- Why Java and Condor?
- Architecture
- Initial Experience
- A Little Error Theory
- Changes for the Better
- Conclusions
45Conclusion
- We started building the Java Universe with some
naive assumptions about errors. - On encountering practical difficulties, we
thought more abstractly about errors and
developed the notion of scope and detail. - By routing errors according to their scope, we
made the system more robust and usable.
46Food for Thought
- There isnt always an easy way to propagate an
error to the scope handler. - Escaping error to parent process
- Raise a POSIX signal.
- Escaping error to the starter
- Throw a Java Error, trapped by the Wrapper,
placed in file, read after process exits.
47Food for Thought
- The mere use of exceptions in a program does not
imply a disciplined error management. - For example, throws IOException is a very vague
statement about an interface. - What is an implementor allowed to throw?
- Can open() return FileNotFound?
- (Probably.)
- Can read() throws FileNotFound?
- (Asking for trouble.)
- What about ConnectionRefused?
48Food for Thought
- An contract can govern more than simply the
interface specification. - Consider this self-cleaning program
- fd open(file)
- unlink(file)
- close(fd)
- Works on UNIX, fails on WinNT.
- Can an interface (codedocs) really state all the
necessary semantic information? - Should it?
49Deployment
- As of February 14th, the Java Universe is running
on 515 RedHat 7.2 machines. - Will be rolled out as part of Condor 6.3.2 on all
platforms in the regular release schedule. - Sun JDK 1.2.2 on UNIX machines.
- Sun JDK 1.3.2 on WinNT machines.
- Is the Java Universe available on my machine?
- condor_status -java
50skywalker.cs.wisc.edu
c2 cluster
tux lab
istat
51Acknowledgements
- Although we me take credit (or blame) for the
most recent changes, the Condor architecture has
dealt with errors for many years. Much credit
goes to the core designers, esp. Mike Litzkow,
Todd Tannenbaum, and Derek Wright.
52More Info
- The Condor Project
- http//www.cs.wisc.edu/condor
- These slides
- http//www.cs.wisc.edu/thain
- Douglas Thain
- thain_at_cs.wisc.edu
- Questions now?