Abstract: The present invention relates to a multipurpose drill system, the multipurpose drill system comprising: a drilling rig adapted to drive a drilling assembly; and two or more power sources, wherein at least one of the two or more power sources is a high pressure power source, wherein the drilling assembly is adapted to be in communication with either or both of the two or more power sources.

Abstract: Generating persistent multifaceted statistical distributions of event data associated with computing nodes is disclosed. From a data stream, events are identified that occur during a first time interval. Characteristics associated with the events are determined. Based on a primary characteristic, it is determined that an event corresponds to an event cluster. The event count for that cluster is incremented. It is determined that the characteristics correspond to an event descriptor of events in the cluster. Responsive to requests to view the event cluster, information about descriptors from the cluster are displayed indicating events having a particular event descriptor, or a summary of characteristics that distinguish the descriptor from other event descriptors.

Abstract: Generating persistent multifaceted statistical distributions of event data associated with computing nodes is disclosed. From a data stream, events are identified that occur during a first time interval. Characteristics associated with the events are determined. Based on a primary characteristic, it is determined that an event corresponds to an event cluster. The event count for that cluster is incremented. It is determined that the characteristics correspond to an event descriptor of events in the cluster. Responsive to requests to view the event cluster, information about descriptors from the cluster are displayed indicating events having a particular event descriptor, or a summary of characteristics that distinguish the descriptor from other event descriptors.

Abstract: Generating persistent multifaceted statistical distributions of event data associated with computing nodes is disclosed. From a data stream, events are identified that occur during a first time interval. Characteristics associated with the events are determined. Based on a primary characteristic, it is determined that an event corresponds to an event cluster. The event count for that cluster is incremented. It is determined that the characteristics correspond to an event descriptor of events in the cluster. Responsive to requests to view the event cluster, information about descriptors from the cluster are displayed indicating events having a particular event descriptor, or a summary of characteristics that distinguish the descriptor from other event descriptors.

Abstract: Generating persistent multifaceted statistical distributions of event data associated with computing nodes is disclosed. From a data stream, events are identified that occur during a first time interval. Characteristics associated with the events are determined. Based on a primary characteristic, it is determined that an event corresponds to an event cluster. The event count for that cluster is incremented. It is determined that the characteristics correspond to an event descriptor of events in the cluster. Responsive to requests to view the event cluster, information about descriptors from the cluster are displayed indicating events having a particular event descriptor, or a summary of characteristics that distinguish the descriptor from other event descriptors.

Abstract: A method dynamically adjusts the resources available to a processing unit of a distributed computer process executing on a multi-node computer system. The resources for the processing unit are adjusted based on the data other processing units handle or the execution path of code in an upstream or downstream processing unit in the distributed process or application.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Techniques disclosed herein describe joining processing elements (e.g., of a streams processing environment) using optimization techniques, such as by whole program optimization. An optimization tool evaluates multiple processing elements based on one or more optimization rules. The optimization tool identifies, based on the evaluation, processing elements that can be merged. The optimization tool joins the identified processing elements together.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Provided are methods and computer program products for analyzing transactions across a network and to help identify network performance issues. Methods for analyzing traffic include identifying an outbound transaction and a related transaction type, and identifying candidate inbound transactions that have the same transaction type as the transaction type of the outbound transaction. One or more transaction data parameters may be selected that correspond to the outbound or inbound transactions. Candidate transactions may be determined to be related to the outbound transaction based on one or more transaction data parameters.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Provided are methods and computer program products for analyzing transactions across a network and to help identify network performance issues. Methods for analyzing traffic include identifying an outbound transaction and a related transaction type, and identifying candidate inbound transactions that have the same transaction type as the transaction type of the outbound transaction. One or more transaction data parameters may be selected that correspond to the outbound or inbound transactions. Candidate transactions may be determined to be related to the outbound transaction based on one or more transaction data parameters.

Abstract: Embodiments of the invention may be used to generate a benchmark profile for a computing job configured to execute on distributed systems. The benchmark profile may be used to predict the performance of components of a computing job for a variety of different distributed computing system architectures. A profiling tool evaluates the computing job to identify the particular performance characteristics of the application and match this with benchmarks that are most representative of the identified performance characteristics and store them in the benchmark profile. The identified benchmarks may then be run on different configurations of a distributed computing system in order to predict the performance of the application for a variety of scenarios.

Abstract: A system and method for composing a stream servicing environment which considers all stakeholders includes identifying service component requirements needed for processing a data stream, and determining available service elements for processing the stream. Feasible service environments are constructed based upon the available service elements and the service component requirements. Efficiency measures are computed for each feasible service environment considering all stakeholders. A best service environment is determined based upon the efficiency measures.

Abstract: The disclosure and claims herein are directed to copying segments of a virtual resource definition from an existing virtual resource to create a new virtual resource definition or modifying an existing one to simplify virtualization management. The virtualization manager divides a virtual resource definition into a number of reusable segments. A user may then select one or more segments and place them into a new or existing virtual resource definition. The user can choose to mix and match segments to quickly create or modify a virtual resource definition such as a virtual server, virtual printer or virtual data storage. Any default information in the new virtual resource or old information in the existing resource is replaced by the information in the copied segment. Any dependencies in the existing virtual resource are resolved with user input to break the dependencies or copy dependent data.

Abstract: A cooperative data stream processing system is provided that utilizes a plurality of independent, autonomous and possibly heterogeneous sites in a cooperative arrangement to process user-defined job requests over dynamic, continuous streams of data. The sites negotiate peering relationships to share data and processing resources to handle the submitted job requests. These peering relationships can be cooperative or federated and can be expressed using common interest policies. Each site within the system runs an instance of a system architecture for processing job requests and is therefore a self-contained, fully functional instance of the cooperative data stream processing system.

Abstract: A method, apparatus, system, and signal-bearing medium that in an embodiment present a main view and at least one peek view of data. When the user selects to move the data from the main view to the peek view, a subset of data objects in the main view is selected based on an importance of the data objects and optionally based on the size of the peek view. The subset is copied to the peek view, and the peek view is dynamically updated when the data objects are updated. In this way, the user can monitor changes to the peek view while working on other data in the main view.

Abstract: A system and method for securely processing sensitive streams in a mixed infrastructure includes analyzing a stream to determine data sensitivity. A likelihood that processing elements employed to process the stream would result in a risk to sensitive information is determined. At least a portion of the data stream having sensitive information is transferred to a secure processing environment to ensure security of the data stream during processing.

Abstract: In an embodiment, a verifier receives requirements for membership in a group from a service and receives proof of attributes from users. The verifier verifies whether the proof of attributes meets the membership requirements and sends acceptance or rejection to the service. If the proof meets the requirements, the service allows the users to become members of the group and allows the members to transfer data to and from other members. If the proof does not meet the requirements, the service prevents the users from becoming members. In this way, the service and group members know that other group members satisfy the group membership requirements without needing to know the identity of the group members or other information unrelated to the group membership requirements.