International Business Machines Corporation

Other

Matthew David Lavin

Charles David Brant

Joseph C Leong

John L Ryding, Iii

A system and method are presented for detecting messages relevant to users in a collaborative environment. In a unified collaboration system, large volumes of messages between a plurality of users in a group may be monitored for relevance to a particular user. Analytics may be applied to the content of the messages to determine which of the plurality of users are relevant and should be alerted. Alerts may notify relevant users that there are messages which may require attention. Non-relevant information in messages may also be hidden or filtered for a user. In an embodiment, users and subject matters may be linked together. For example, words in a message may be related to specific sub-topics of a group and may be associated with a user over time based on when the word is used and which users respond.

System and method for detecting relevant messages

A mechanism is provided for enforcing machine deployment zoning rules in an automatic provisioning system. Responsive to receiving a machine specification from a user for deployment of a virtual machine in a computing environment, the automatic provisioning system applies machine deployment zone rules to the machine specification. Responsive to the machine specification not meeting the machine deployment zone rules, the automatic provisioning system generates a failure notification. The automatic provisioning system presents the failure notification to the user.

Enforcing machine deployment zoning rules in an automatic provisioning environment

The service assignment tool analyzes a service to determine whether the service can execute on a cluster. If the service cannot execute on a cluster, the service is assigned to a single virtual machine. The service assignment tool identifies non-cluster friendly services by performing a static analysis on the bytecode of the service. The bytecode of the service is analyzed by comparing each segment of bytecode to a list of known good and bad coding conventions. If each segment of bytecode in a service meets the good coding convention criteria, then the service is cluster friendly. If one segment of bytecode does not meet the good coding convention criteria, then the entire service is considered to be not cluster friendly.

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Raleigh, NC, United States of America

Matthew David Lavin