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: A distributed component software system that includes an analysis server that: (i) receives a set of messages, where each message is sent between components of a distributed component software system (DCSS), and where each message includes an identification of a respective source component, an identification of a respective target component and respective message content; (ii) for each message of the set of received messages, resolves the respective source component; (iii) for each message of the set of received messages, resolves the respective source component; (iv) determines a sequence of the plurality of messages; and (v) generates a human-understandable abstract corresponding to the set of received messages based upon the respective message sources, the respective message targets, the respective message content and the sequence of the set of received messages.

Abstract: A solution descriptor comprises a set of component workload units, a workload unit describing a deployable application component with application binary, configuration parameters and dependency declarations. An environment descriptor specifies a set of target platforms and plugins in an execution environment. A deployer interprets the solution descriptor and the environment descriptor, and generates a list of tuples comprising compatible workload-plugin-platform combinations. The deployer determines an execution order for the list of tuples, and invokes the plugins in the list of tuples in the execution order, wherein each of the plugins executes a corresponding compatible workload on a corresponding compatible target platform specified in the list of tuples.

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: A solution descriptor comprises a set of component workload units, a workload unit describing a deployable application component with application binary, configuration parameters and dependency declarations. An environment descriptor specifies a set of target platforms and plugins in an execution environment. A deployer interprets the solution descriptor and the environment descriptor, and generates a list of tuples comprising compatible workload-plugin-platform combinations. The deployer determines an execution order for the list of tuples, and invokes the plugins in the list of tuples in the execution order, wherein each of the plugins executes a corresponding compatible workload on a corresponding compatible target platform specified in the list of tuples.

Abstract: A solution descriptor comprises a set of component workload units, a workload unit describing a deployable application component with application binary, configuration parameters and dependency declarations. An environment descriptor specifies a set of target platforms and plugins in an execution environment. A deployer interprets the solution descriptor and the environment descriptor, and generates a list of tuples comprising compatible workload-plugin-platform combinations. The deployer determines an execution order for the list of tuples, and invokes the plugins in the list of tuples in the execution order, wherein each of the plugins executes a corresponding compatible workload on a corresponding compatible target platform specified in the list of tuples.

Abstract: A solution descriptor comprises a set of component workload units, a workload unit describing a deployable application component with application binary, configuration parameters and dependency declarations. An environment descriptor specifies a set of target platforms and plugins in an execution environment. A deployer interprets the solution descriptor and the environment descriptor, and generates a list of tuples comprising compatible workload-plugin-platform combinations. The deployer determines an execution order for the list of tuples, and invokes the plugins in the list of tuples in the execution order, wherein each of the plugins executes a corresponding compatible workload on a corresponding compatible target platform specified in the list of tuples.

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: Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.

Abstract: A solution descriptor comprises a set of component workload units, a workload unit describing a deployable application component with application binary, configuration parameters and dependency declarations. An environment descriptor specifies a set of target platforms and plugins in an execution environment. A deployer interprets the solution descriptor and the environment descriptor, and generates a list of tuples comprising compatible workload-plugin-platform combinations. The deployer determines an execution order for the list of tuples, and invokes the plugins in the list of tuples in the execution order, wherein each of the plugins executes a corresponding compatible workload on a corresponding compatible target platform specified in the list of tuples.

Abstract: A solution descriptor comprises a set of component workload units, a workload unit describing a deployable application component with application binary, configuration parameters and dependency declarations. An environment descriptor specifies a set of target platforms and plugins in an execution environment. A deployer interprets the solution descriptor and the environment descriptor, and generates a list of tuples comprising compatible workload-plugin-platform combinations. The deployer determines an execution order for the list of tuples, and invokes the plugins in the list of tuples in the execution order, wherein each of the plugins executes a corresponding compatible workload on a corresponding compatible target platform specified in the list of tuples.

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: Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.

Abstract: Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.

Abstract: A distributed component software system that includes an analysis server that: (i) receives a set of messages, where each message is sent between components of a distributed component software system (DCSS), and where each message includes an identification of a respective source component, an identification of a respective target component and respective message content; (ii) for each message of the set of received messages, resolves the respective source component; (iii) for each message of the set of received messages, resolves the respective source component; (iv) determines a sequence of the plurality of messages; and (v) generates a human-understandable abstract corresponding to the set of received messages based upon the respective message sources, the respective message targets, the respective message content and the sequence of the set of received messages.