| G. Candea, J. Cutler, and A. Fox. Improving availability with recursive micro-reboots: A soft-state system case study. Performance Evaluation Journal, 56(1--3), March 2003. |
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G. Candea, J. Cutler, and A. Fox. Improving availability with recursive micro-reboots: A soft-state system case study. Performance Evaluation Journal, Summer 2003. To appear.
....fortify it, which is important given the degree to which fast recovery of the application server depends on accurate RM actions. When the RM suspects that one or more components have failed, it instructs a recovery agent, inside the JBoss application server, to micro reboot the suspect components [2]. To keep clients from failing while parts of the system are rebooting, our stall proxy will intercept new client connections and force them to wait up to 8 seconds while the recovery process completes. Finally, we have added a fault injection mechanism used by the automatic failure path ....
....These entities could range from EJBs to entire Java Virtual Machines (JVMs) or even real machines, in which case the recovery agent would be an IP addressable power supply. If targetted reboot based recovery does not work, our framework is designed to employ the notion of recursive reboots [2]. The recovery manager is responsible for initiating coarser grained reboots when it recognizes that previous reboots have not cured a failure. If the recovery manager ends up rebooting the entire system to no avail, it can notify a sysadmin by pager, email, etc. Right now we only have two levels ....
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G. Candea, J. Cutler, and A. Fox. Improving availability with recursive micro-reboots: A soft-state system case study. Performance Evaluation Journal, Summer 2003. to appear.
No context found.
G. Candea, J. Cutler, and A. Fox. Improving availability with recursive micro-reboots: A soft-state system case study. Performance Evaluation Journal, 56(1--3), March 2003.
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