Abstract: Techniques for training a system to identify state changes in objects in virtual worlds. Base events transmitted by a virtual world engine are observed. Statistical analysis of the observed base events is performed. Based at least in part on this statistical analysis, a computer processor determines that a group of one or more of the observed base events is correlated to a first identified higher-level event. Optionally, the determination is based in part on a frequency of occurrence of the group of base events, on generated rules, or both. A candidate higher-level event including the group of base events thus determined is stored. User input is received about the candidate higher-level event. If so specified by the received user input, the candidate higher-level event is stored as a second identified higher-level event. As a result, the system is advantageously trained to identify higher-level events which represent abstract situations.

Abstract: A resource broker is used in managing workloads of a peer-to-peer distributed computing environment. The broker is responsible for distributing to a plurality of clients of the peer-to-peer distributed computing environment tasks of one or more workloads of one or more issuers of the environment. The tasks are processed by the clients using a runtime environment provided by the broker. The runtime environment of a client is generic to the one or more issuers and independent of an operating system of the client.

Abstract: Techniques for training a system to identify state changes in objects in virtual worlds. Base events transmitted by a virtual world engine are observed. Statistical analysis of the observed base events is performed. Based at least in part on this statistical analysis, a computer processor determines that a group of one or more of the observed base events is correlated to a first identified higher-level event. Optionally, the determination is based in part on a frequency of occurrence of the group of base events, on generated rules, or both. A candidate higher-level event including the group of base events thus determined is stored. User input is received about the candidate higher-level event. If so specified by the received user input, the candidate higher-level event is stored as a second identified higher-level event. As a result, the system is advantageously trained to identify higher-level events which represent abstract situations.

Abstract: A resource broker is used in managing workloads of a peer-to-peer distributed computing environment. The broker is responsible for distributing to a plurality of clients of the peer-to-peer distributed computing environment tasks of one or more workloads of one or more issuers of the environment. The tasks are processed by the clients using a runtime environment provided by the broker. The runtime environment of a client is generic to the one or more issuers and independent of an operating system of the client.