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: A plurality of traditional software applications are packaged as custom composite solutions, and are stored as custom composite solution deployable images. Customer input is obtained from a customer. At least one of the custom composite solution deployable images is deployed into a management cloud in response to the customer input.

Abstract: In an illustrative embodiment, a computing system comprises a first computer coupled to one or more additional computers. Each of the one or more additional computers manages a respective set of one or more virtualized computing resources. The first computer manages the one or more additional computers.

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: Systems and methods are provided to support service management in cloud computing networks. For example, a method for managing a computing platform includes provisioning a plurality of virtual machines across a plurality of computing nodes of a computing platform, wherein the provisioned virtual machines are configured to execute service workloads to provide one or more services to customers, and utilizing one or more of the provisioned virtual machines which execute the service workloads to further perform service management operations for managing the computing platform. The service management operations for managing the computing platform include, e.g., mediation and rating operations for revenue management of the computing platform.

Abstract: Systems and methods are provided for dynamic metering adjustment for service management of a computing platform. For example, a plurality of virtual machines are provisioned across a plurality of computing nodes of a computing platform. Data samples are collected for a metric that is monitored with regard to resource utilization in the computing platform by the virtual machines. The data samples are initially collected at a predefined sampling frequency. The data samples collected over time for the metric are analyzed to determine an amount of deviation in values of the collected data samples. A new sampling frequency is determined for collecting data samples for the metric based on the determined amount of deviation. The new sampling frequency is applied to collect data samples for the metric, wherein the new sampling frequency is less than the predefined sampling frequency.

Abstract: A computer-implemented method or real-time measurement of a user interface performance in a remote desktop environment is provided. The computer-implemented method may include host computer receiving a command data package and a client request time from client computer, where the client request time is a timestamp of a time at which the command data package was sent from client computer to host computer. The computer-implemented method may further include host computer recording the client request time and a request arrival time, where the request arrival time is a timestamp of a time at which the command data package was received by host computer. The computer-implemented method may further include host computer calculating a first traverse time, where the first traverse time is a time difference between the client request time and the request arrival time to determine a real-time measurement of a user interface performance in the remote desktop 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: Co-locating a virtual machine with nested virtualization, in one aspect, may comprise receiving a list of one or more virtual machine instances to co-locate with associated configuration information. A parent virtual machine instance may be identified to host the one or more virtual machine instances. Virtual machine images associated with the one or more virtual machine instances may be consolidated. A composite parent virtual machine image may be created based on the consolidated virtual machine images and the parent virtual machine instance. The parent virtual machine instance may be configured to accommodate for capacity requirement of the one or more child virtual machine instances. The parent virtual machine instance may be started on a processor via the composite parent virtual machine image. The one or more virtual machine instances may be started within the parent virtual machine instance as one or more child virtual machine instances.

Abstract: An apparatus for enabling resiliency for cloud computing systems is provided. An apparatus includes a processor and a memory storing computer program code. The memory and the computer program code are configured to, with the processor, cause the apparatus to perform actions. The actions include modifying a topology graph of a network architecture by mapping processes flows onto the topology graph and creating a resiliency graph based on the modified topology graph. The actions also include modifying the resiliency graph by translating at least one SLA into the resiliency graph and identifying overlaps and dependencies in the modified resiliency graph. Apparatus and computer readable instructions are also described.

Abstract: Co-locating a virtual machine with nested virtualization, in one aspect, may comprise receiving a list of one or more virtual machine instances to co-locate with associated configuration information. A parent virtual machine instance may be identified to host the one or more virtual machine instances. Virtual machine images associated with the one or more virtual machine instances may be consolidated. A composite parent virtual machine image may be created based on the consolidated virtual machine images and the parent virtual machine instance. The parent virtual machine instance may be configured to accommodate for capacity requirement of the one or more child virtual machine instances. The parent virtual machine instance may be started on a processor via the composite parent virtual machine image. The one or more virtual machine instances may be started within the parent virtual machine instance as one or more child virtual machine instances.

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: A method for enabling resiliency for cloud computing systems is described. The method includes modifying a topology graph of a network architecture by mapping processes flows onto the topology graph. A resiliency graph is created based on the modified topology graph. The method includes modifying the resiliency graph by translating at least one SLA into the resiliency graph. Overlaps and dependencies in the modified resiliency graph are identified. Apparatus and computer readable instructions are also described.

Abstract: A method, an apparatus and an article of manufacture for cloud-driven application execution. The method includes determining a plurality of attributes of a failed application, wherein the plurality of attributes comprises at least one policy context attribute and at least one context attribute, correlating each of the plurality of attributes to at least one alternative asset, wherein the at least one alternative asset is a part of an environment on which the failed application can be executed, using the plurality of attributes correlated to the at least one alternative asset to identify an alternative asset set of alternative assets, wherein the alternative asset set is capable of enabling an alternative environment on which to execute the failed application, and provisioning the alternative assets in the alternative asset set from at least one cloud network to create the alternative environment on which the failed application is executed.

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: An illustrative embodiment includes a method for use with a computing system comprising a first computer coupled to one or more additional computers, wherein each of the one or more additional computers manages a respective set of one or more virtualized computing resources, and wherein the first computer manages the one or more additional computers. The method includes the steps of determining an assignment of at least one application to at least one of: (i) the first computer; and (ii) at least one of the one or more additional computers; and responsive to a detected condition, changing the assignment of the at least one application to the at least one of: (i) the first computer; and (ii) the at least one of the one or more additional computers.

Abstract: Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.

Abstract: A method of securely deploying a software application in the Internet cloud including identifying those aspects of a software application that use secure data, and those aspects of the application that use non-secure data, deploying the secure data on one or more secure servers that are not publicly accessible over the Internet, and deploying non-secure data on one or more cloud servers that are publicly available over the Internet, where communication between the secure servers and the cloud servers is managed using secure connections with access only to computation results.

Abstract: Remediating events of components using behaviors via an administrator system and an administrator client. The administrator system receives an event from a component of an information technology (IT) environment. A behavior is determined at least partly from the event. The behavior is determined to be an anomalous behavior at least partly from a group of previously received events. A coefficient is calculated, via a calculation, for the anomalous behavior at least partly from a weight. The administrator system sends a description of the anomalous behavior and a group of options to the administrator client. The description is at least partly based on the calculation. The administrator system receives a severity indication from the administrator client. The weight, the calculation, and the description are updated based on the severity indication.