Abstract: Modeling techniques to classify data sets containing personal identifiable information (PII) comprising identifiers are provided. In one technique, multiple data sets are identified, each data set containing identifiers that were generated by a computer system and that qualify as PII of a known identifier (ID) type. For each of the multiple data sets, a model is generated based on that data set and added to a set of models. A target data set that contains identifiers that were generated by the computer system and that qualify as PII of an unknown ID type is identified. A target model is generated based on the target data set. For at least one model in the set of models, a similarity operation of that model and the target model is performed. Based on the similarity operation, it is determined whether to associate the ID type of that model with the target data set.

Abstract: Modeling techniques to classify data sets containing personal identifiable information (PII) comprising identifiers are provided. In one technique, multiple data sets are identified, each data set containing identifiers that were generated by a computer system and that qualify as PII of a known identifier (ID) type. For each of the multiple data sets, a model is generated based on that data set and added to a set of models. A target data set that contains identifiers that were generated by the computer system and that qualify as PII of an unknown ID type is identified. A target model is generated based on the target data set. For at least one model in the set of models, a similarity operation of that model and the target model is performed. Based on the similarity operation, it is determined whether to associate the ID type of that model with the target data set.

Abstract: One aspect includes a method for constructing a specified virtual solution, comprising: obtaining a solution profile from a solution repository catalog, wherein the solution profile identifies one or more resources for the specified virtual solution; acquiring the one or more resources identified by the solution profile from one or more devices; and assembling the acquired one or more resources in accordance with the solution profile to construct the specified virtual solution. Another aspect includes a method for providing a Resource-as-a-Service (RaaS) functionality in a cloud architecture, comprising: implementing a software defined infrastructure comprising distributed workload placement, location management, and data management; and implementing a RaaS layer comprising resource discovery and registration of capabilities.

Abstract: One aspect includes a method for constructing a specified virtual solution, comprising: obtaining a solution profile from a solution repository catalog, wherein the solution profile identifies one or more resources for the specified virtual solution; acquiring the one or more resources identified by the solution profile from one or more devices; and assembling the acquired one or more resources in accordance with the solution profile to construct the specified virtual solution. Another aspect includes a method for providing a Resource-as-a-Service (RaaS) functionality in a cloud architecture, comprising: implementing a software defined infrastructure comprising distributed workload placement, location management, and data management; and implementing a RaaS layer comprising resource discovery and registration of capabilities.

Abstract: One aspect includes a method for constructing a specified virtual solution, comprising: obtaining a solution profile from a solution repository catalog, wherein the solution profile identifies one or more resources for the specified virtual solution; acquiring the one or more resources identified by the solution profile from one or more devices; and assembling the acquired one or more resources in accordance with the solution profile to construct the specified virtual solution. Another aspect includes a method for providing a Resource-as-a-Service (RaaS) functionality in a cloud architecture, comprising: implementing a software defined infrastructure comprising distributed workload placement, location management, and data management; and implementing a RaaS layer comprising resource discovery and registration of capabilities.

Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.

Abstract: A method for providing a cloud-based service includes receiving information from a customer of the service over a conversational interface, the information identifying a requirement of the customer related to a resiliency of the service, and identifying a service provider who provides the service in a manner that satisfies the requirement. A method for building a knowledge base of cloud-based service providers includes receiving information from a service provider, the information specifying at least one resiliency attribute of the service provider, matching the information to a standardized service descriptor, wherein the service descriptor is indexed within an ontology-based organizational framework that indexes a plurality of service descriptors, and storing the service descriptor for the service provider.

Abstract: One aspect includes a method for constructing a specified virtual solution, comprising: obtaining a solution profile from a solution repository catalog, wherein the solution profile identifies one or more resources for the specified virtual solution; acquiring the one or more resources identified by the solution profile from one or more devices; and assembling the acquired one or more resources in accordance with the solution profile to construct the specified virtual solution. Another aspect includes a method for providing a Resource-as-a-Service (RaaS) functionality in a cloud architecture, comprising: implementing a software defined infrastructure comprising distributed workload placement, location management, and data management; and implementing a RaaS layer comprising resource discovery and registration of capabilities.

Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.

Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.

Abstract: In an approach for creating a service composition, a processor receives a plurality of software modules, wherein each software module performs part of a service requested by one or more users on a network. A processor collects one or more attributes and one or more dependencies for each of the plurality of software modules. A processor appends information about the attributes and the dependencies to each respective software module. A processor stores each of the plurality of software modules with the respective appended information in a database. A processor creates a service composition comprised of a combination of the plurality of software modules, based on the appended information and the service requested by the one or more users on the network.

Abstract: A computer processor monitors a service marketplace and a deployed service application that includes one or more services based on a set of service requirements. The computer processor collects consumption data of the deployed service application and service marketplace information including change and trend information associated with the service marketplace. The computer processor analyzes the consumption data and the service marketplace information with respect to the set of service requirements, and the computer processor determines a gap between at least a requirement of the set of requirements and the consumption data, and a gap between at least a requirement of the set of requirements and the service marketplace information.

Abstract: In an approach for creating a service composition, a processor receives a plurality of software modules, wherein each software module performs part of a service requested by one or more users on a network. A processor collects one or more attributes and one or more dependencies for each of the plurality of software modules. A processor appends information about the attributes and the dependencies to each respective software module. A processor stores each of the plurality of software modules with the respective appended information in a database. A processor creates a service composition comprised of a combination of the plurality of software modules, based on the appended information and the service requested by the one or more users on the network.

Abstract: A method for evaluating the performance of an application when migrated from a first environment in which the application is currently executing to a second, different environment includes generating a virtual application that mimics the resource consuming behavior of the application, executing the virtual application in the second environment, and evaluating the performance of the virtual application in the second environment.

Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.

Abstract: A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.

Abstract: Systems and methods for custom-fitting a service solution to consumer requirements are provided. A method for custom-fitting a service solution to consumer requirements, comprises acquiring a request for the service solution from a consumer via a conversational interface, and issuing a query to a service knowledge base to obtain a set of service knowledge representation items from the service knowledge base and analyzing each service knowledge representation item to determine whether a custom-fit service solution can be developed.

Abstract: Systems and methods for custom-fitting a service solution to consumer requirements are provided. A method for custom-fitting a service solution to consumer requirements, comprises acquiring a request for the service solution from a consumer via a conversational interface, and issuing a query to a service knowledge base to obtain a set of service knowledge representation items from the service knowledge base and analyzing each service knowledge representation item to determine whether a custom-fit service solution can be developed.

Abstract: The present invention provides an index structure for managing weighted-sequences in large databases. A weighted-sequence is defined as a two-dimensional structure in which each element in the sequence is associated with a weight. A series of network events, for instance, is a weighted-sequence because each event is associated with a timestamp. Querying a large sequence database by events' occurrence patterns is a first step towards understanding the temporal causal relationships among the events. The index structure proposed herein enables the efficient retrieval from the database of all subsequences (contiguous and non-contiguous) that match a given query sequence both by events and by weights. The index structure also takes into consideration the nonuniform frequency distribution of events in the sequence data.

Abstract: A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.