Abstract: A system for allocating resources which are anticipated to be available in an on-demand computing at some time in the future, wherein a producer trending agent (PTA) lists resources according to a trend prediction of resource availability in the past, a consumer trending agent (CTA) places bids for listed resources according to previous resource usage trends, and an arbitration system (REAS) matches the bids with the listings to determine if a match exists. If so, a binding contract for consumption of the matched listed resources is established. The PTA also produce tier-based dynamic incentive (TDI) schema which divides potential bidders into tiers, and offers additional resource incentives according to the tiers. Both PTA and CTA dynamically update their available/usage trends, listings and bids, over time.

Abstract: A system for allocating resources which are anticipated to be available in an on-demand computing at some time in the future, wherein a producer trending agent (PTA) lists resources according to a trend prediction of resource availability in the past, a consumer trending agent (CTA) places bids for listed resources according to previous resource usage trends, and an arbitration system (REAS) matches the bids with the listings to determine if a match exists. If so, a binding contract for consumption of the matched listed resources is established. The PTA also produce tier-based dynamic incentive (TDI) schema which divides potential bidders into tiers, and offers additional resource incentives according to the tiers. Both PTA and CTA dynamically update their available/usage trends, listings and bids, over time.

Abstract: A system for allocating resources which are anticipated to be available in an on-demand computing at some time in the future, wherein a producer trending agent (PTA) lists resources according to a trend prediction of resource availability in the past, a consumer trending agent (CTA) places bids for listed resources according to previous resource usage trends, and an arbitration system (REAS) matches the bids with the listings to determine if a match exists. If so, a binding contract for consumption of the matched listed resources is established. The PTA also produce tier-based dynamic incentive (TDI) schema which divides potential bidders into tiers, and offers additional resource incentives according to the tiers. Both PTA and CTA dynamically update their available/usage trends, listings and bids, over time.

Abstract: A method, system, and computer program product for processing a database query by a proxy server that is adapted to communicate with at least one database server. The database servers are respectively coupled to corresponding databases having tables that include a data isolation field pertaining to a group having subgroups. The data isolation field identifies a subgroup. The proxy server receives the query from an application server. The query is a request for data stored one of the databases. The proxy server determines whether the query has a data isolation problem. If the query does not have a data isolation problem, then the proxy server obtains a response to the query from one of the database servers and forwards the response to the application server. Otherwise, the proxy server records that a query error has occurred and returns an error code and/or empty dataset to the application server.

Abstract: An example of a solution provided here comprises assessing readiness for transformation, based on a number of desirable application attributes; planning development work (which may involve mapping desirable application attributes to kinds of help); generating a proposal for transformation, and outputting the proposal.

Abstract: A system for allocating resources which are anticipated to be available in an on-demand computing at some time in the future, wherein a producer trending agent (PTA) lists resources according to a trend prediction of resource availability in the past, a consumer trending agent (CTA) places bids for listed resources according to previous resource usage trends, and an arbitration system (REAS) matches the bids with the listings to determine if a match exists. If so, a binding contract for consumption of the matched listed resources is established. The PTA also produce tier-based dynamic incentive (TDI) schema which divides potential bidders into tiers, and offers additional resource incentives according to the tiers. Both PTA and CTA dynamically update their available/usage trends, listings and bids, over time.

Abstract: A system for allocating resources which are anticipated to be available in an on-demand computing at some time in the future, wherein a producer trending agent (PTA) lists resources according to a trend prediction of resource availability in the past, a consumer trending agent (CTA) places bids for listed resources according to previous resource usage trends, and an arbitration system (REAS) matches the bids with the listings to determine if a match exists. If so, a binding contract for consumption of the matched listed resources is established. The PTA also produce tier-based dynamic incentive (TDI) schema which divides potential bidders into tiers, and offers additional resource incentives according to the tiers. Both PTA and CTA dynamically update their available/usage trends, listings and bids, over time.

Abstract: A system for allocating resources which are anticipated to be available in an on-demand computing at some time in the future, wherein a producer trending agent (PTA) lists resources according to a trend prediction of resource availability in the past, a consumer trending agent (CTA) places bids for listed resources according to previous resource usage trends, and an arbitration system (REAS) matches the bids with the listings to determine if a match exists. If so, a binding contract for consumption of the matched listed resources is established. The PTA also produce tier-based dynamic incentive (TDI) schema which divides potential bidders into tiers, and offers additional resource incentives according to the tiers. Both PTA and CTA dynamically update their available/usage trends, listings and bids, over time.

Abstract: A method, system, and computer program product for processing a database query by a proxy server that is adapted to communicate with at least one database server. The database servers are respectively coupled to corresponding databases having tables that include a data isolation field pertaining to a group having subgroups. The data isolation field identifies a subgroup. The proxy server receives the query from an application server. The query is a request for data stored one of the databases. The proxy server determines whether the query has a data isolation problem. If the query does not have a data isolation problem, then the proxy server obtains a response to the query from one of the database servers and forwards the response to the application server. Otherwise, the proxy server records that a query error has occurred and returns an error code and/or empty dataset to the application server.

Abstract: An example of a solution provided here comprises assessing readiness for transformation, based on a number of desirable application attributes; planning development work (which may involve mapping desirable application attributes to kinds of help); generating a proposal for transformation, and outputting the proposal.