Difference: ServiceReferenceCard (6 vs. 7)
Revision 72011-05-05 - MassimoSgaravatto
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CREAM Service Reference Card | |||||||||||||||||||
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| The following processes should run on a CREAM CE: | |||||||||||||||||||
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log4j.logger.org.glite=debug, fileout
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| > > | $ : You may also change the attributes log4j.appender.fileout.MaxFileSize and log4j.appender.fileout.MaxBackupIndex to change the maximum file size and the maximum number of log files to be kept. | ||||||||||||||||||
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* The gridftp log files (globus-gridftp.log and gridftp-session.log)
Open ports | |||||||||||||||||||
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| < < | C: Controllable Ephemeral range (e.g. 20000-25000). Note: In practice, although this port-range is locally configurable using the GLOBUS_TCP_PORT_RANGE environment variable, the values applying at a remote service cannot be predicted. Consequently reliable connection can only be established if all ports >1023 are left open for outbound connections. | ||||||||||||||||||
| > > | C: Controllable Ephemeral range (e.g. 20000-25000). Note: In practice, although this port-range is locally configurable using the GLOBUS_TCP_PORT_RANGE environment variable, the values applying at a remote service cannot be predicted. Consequently reliable connection can only be established if all ports >1023 are left open for outbound connections. | ||||||||||||||||||
Possible unit test of the service | |||||||||||||||||||
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| > > | Argus is a system meant to render consistent authorization decisions for distributed services (e.g. compute elements, portals). In order to achieve this consistency a number of points must be addressed. First, it must be possible to author and maintain consistent authorization policies. This is handled by the Policy Administration Point (PAP) component in the service. Second, authored policies must be evaluated in a consistent manner, a task performed by the Policy Decision Point (PDP). Finally, the data provided for evaluation against policies must be consistent (in form and definition) and this is done by the Policy Enforcement Point (PEP). Argus is also responsible to manage the Grid user - local user mapping. | ||||||||||||||||||
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| < < | Argus is a system meant to render consistent authorization decisions for distributed services (e.g. compute elements, portals). In order to achieve this consistency a number of points must be addressed. First, it must be possible to author and maintain consistent authorization policies. This is handled by the Policy Administration Point (PAP) component in the service. Second, authored policies must be evaluated in a consistent manner, a task performed by the Policy Decision Point (PDP). Finally, the data provided for evaluation against policies must be consistent (in form and definition) and this is done by the Policy Enforcement Point (PEP). Argus is also responsible to manage the Grid user - local user mapping. gJAF (Grid Java Authorization Framework) provides a way to invoke a chain of policy engines and get a decision result about the authorization of a user. The policy engines are divided in two types, depending on their functionality. They can be plugged into the framework in order to form a chain of policy engines as selected by the administrator in order to let him set up a complete authorization system. A policy engine may be either a PIP or a PDP. PIP collect and verify assertions and capabilities associated with the user, checking her role, group and VO attributes. PDP may use the information retrieved by a PIP to decide whether the user is allowed to perform the requested action, whether further evaluation is needed, or whether the evaluation should be interrupted and the user access denied. In CREAM CE VO based authorization is supported. In this scenario, implemented via the VOMS PDP, the administrator can specify authorization policies based on the VO the jobs' owners belong to (or on particular VO attributes). When gJAF is used as authorization mechanism, the Grid user - local user mapping is managed via glexec, | ||||||||||||||||||
| > > | gJAF (Grid Java Authorization Framework) provides a way to invoke a chain of policy engines and get a decision result about the authorization of a user. The policy engines are divided in two types, depending on their functionality. They can be plugged into the framework in order to form a chain of policy engines as selected by the administrator in order to let him set up a complete authorization system. A policy engine may be either a PIP or a PDP. PIP collect and verify assertions and capabilities associated with the user, checking her role, group and VO attributes. PDP may use the information retrieved by a PIP to decide whether the user is allowed to perform the requested action, whether further evaluation is needed, or whether the evaluation should be interrupted and the user access denied. In CREAM CE VO based authorization is supported. In this scenario, implemented via the VOMS PDP, the administrator can specify authorization policies based on the VO the jobs' owners belong to (or on particular VO attributes). When gJAF is used as authorization mechanism, the Grid user - local user mapping is managed via glexec, | ||||||||||||||||||
| For what concerns authorization on job operations, by default each user can manage (e.g. cancel, suspend, etc.) only her own jobs. However, the CREAM administrator can define specific super-users who are empowered to manage also jobs submitted by other users. | |||||||||||||||||||
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