man condor_power send (1): packet intended to wake a machine from a low power state

Synopsis

condor_power [-h]

condor_power[-d] [-i] [-m MACaddress] [-s subnet] [ClassAdFile]

Description

condor_powersends one UDP Wake on LAN (WOL) packet to a machine specified either by command line arguments or by the contents of a machine ClassAd. The machine ClassAd may be in a file, where the file name specified by the optional argument ClassAdFileis given on the command line. With no command line arguments to specify the machine, and no file specified, condor_powerquietly presumes that standard input is the file source which will specify the machine ClassAd that includes the public IP address and subnet of the machine.

condor_powerneeds a complete specification of the machine to be successful. If a MAC address is provided on the command line, but no subnet is given, then the default value for the subnet is used. If a subnet is provided on the command line, but no MAC address is given, then condor_powerfalls back to taking its information in the form of the machine ClassAd as provided in a file or on standard input. Note that this case implies that the command line specification of the subnet is ignored.

condor_powerrelies on the router receiving the WOL packet to correctly broadcast the request. Since routers are often configured to ignore requests to broadcast messages on a different subnet than the sender, the send of a WOL packet to a machine on a different subnet may fail.

Options

-h

: Print usage information and exit.

-d

: Enable debugging messages.

-i

: Read a ClassAd that is piped in through standard input.

-m MACaddress

: Specify the MAC address in the standard format of six groups of two hexadecimal digits separated by colons.

-s subnet

: Specify the subnet in the standard form of a mask for an IPv4 address. Without this option, a global broadcast will be sent.

Exit Status

condor_powerwill exit with a status value of 0 (zero) upon success, and it will exit with the value 1 (one) upon failure.

Author

Center for High Throughput Computing, University of Wisconsin-Madison

Copyright