Abstract: Example implementations relate to simulating an environment. For example, a system for environment simulation may include a simulation engine to build an environment simulation to mimic portions of a real environment relevant to a detected anomaly trend, an acceleration engine to simulate, within the environment simulation, a scenario associated with the detected anomaly at a rate faster than the scenario occurs in the real environment, a abnormal behavior engine to detect a abnormal behavior associated with the scenario, and an adaptation engine to modify a device within the real environment to be adaptive to the scenario, based on the detected abnormal behavior.

Abstract: Example implementations relate to simulating an environment. For example, a system for environment simulation may include a simulation engine to build an environment simulation to mimic portions of a real environment relevant to a detected anomaly trend, an acceleration engine to simulate, within the environment simulation, a scenario associated with the detected anomaly at a rate faster than the scenario occurs in the real environment, a abnormal behavior engine to detect a abnormal behavior associated with the scenario, and an adaptation engine to modify a device within the real environment to be adaptive to the scenario, based on the detected abnormal behavior.

Abstract: A system for automated contract management includes a computing device (102) and a memory storing program instructions that when executed by computing device (102). The program instructions cause the computing device (102) to generate an ontology (115) of terms and cross-contractual relationships in contracts (105, 110) and machine interpretable terms (120) and cross-contractual relationships (125) derived from the contracts (105, 110) with reference to the ontology (115). A method for automated contract management is also provided.

Abstract: A system for automated contract management includes a computing device (102) and a memory storing program instructions that when executed by computing device (102). The program instructions cause the computing device (102) to generate an ontology (115) of terms and cross-contractual relationships in contracts (105, 110) and machine interpretable terms (120) and cross-contractual relationships (125) derived from the contracts (105, 110) with reference to the ontology (115). A method for automated contract management is also provided.

Abstract: A third-party service relationship may be established between a service consumer, a service provider, and a third-party service using a service relationship management server. The service consumer and service provider can have a primary service relationship. The primary service relationship may be managed using the service relationship management server. Service relationship information related to the primary service relationship can be received in a database in communication with the service relationship management server. The primary service relationship can be modified using the third-party service and based on the service relationship information.

Abstract: A technique for evaluating service level agreement (SLA) violations occurring in a computing system with agreed-upon model for exemptions is provided. The technique includes storing in a memory a model of the SLA and identifying occurrence of an SLA violation in a computing system that is providing services under the SLA. Based on the stored model, the technique further determines if the SLA violation is exempted from a penalty.

Abstract: A method for minimizing risk of a service level agreement (SLA) is provided. Such a method can include creating a risk profile for a key performance indicator based on a collection of data, determining a service level objective (SLO) cost for a SLO by correlating the SLO with the risk profile, and computing a cost of a SLA by analyzing the SLO cost for the SLO associated with the SLA.

Abstract: A technique for evaluating service level agreement (SLA) violations occurring in a computing system with agreed-upon model for exemptions is provided. The technique includes storing in a memory a model of the SLA and identifying occurrence of an SLA violation in a computing system that is providing services under the SLA. Based on the stored model, the technique further determines if the SLA violation is exempted from a penalty.