Bea Systems, Inc.

Oracle International Corporation

Adam Messinger

Dean Bernard Jacobs

Seth John White

Rahul Srivastava

Rob Woollen

Prasad Peddada

Anno Langen

Sam Pullara

Eric M Halpern

Naresh Revanuru

Alexander J Somogyi

Ballav Bihani

Thomas E Barnes

Patrik Torstensson

Dave Brown

Raul Srivastava

Ola Torudbakken

Oleksandr Otenko

Steven Liu

Nathan Luther Reynolds

Joshua Lee Dorr

Lenny Phan

Don Ferguson

Scott Oaks

Pallab Bhattacharya

Staffan Larsen

Brad Cameron

Samuel Pullara

Nathan Reynolds

Rob Woolen

Systems and methods are provided for providing scatter/gather data processing. In accordance with an embodiment, a such a system can include a cluster of one or more high performance computing systems, each including one or more processors and a high performance memory. The cluster communicates over an InfiniBand network. The system can also include a middleware environment, executing on the cluster, that includes one or more application server instances. The system can further include a plurality of muxers. Each application server instance includes at least one muxer, and each muxer is operable to collect data from a plurality of locations in the high performance memory, and transfer the data in bulk.

System and method for providing scatter/gather data processing in a middleware environment

A system and method for providing a middleware machine or similar platform. In accordance with an embodiment the system (referred to herein in some implementations as 'Exalogic') comprises a combination of high performance hardware, together with an application server or middleware environment, to provide a complete Java EE application server complex which includes a massively parallel in-memory grid, can be provisioned quickly, and can scale on demand. In accordance with an embodiment, the system can be deployed as a full, half, or quarter rack, or other configuration, that provides an application server grid, storage area network, and InfiniBand network, which support the execution of an application server, middleware or other functionality such as, for example, WebLogic Server, JRockit or Hotspot JVM, Oracle Linux or Solaris, and Oracle VM. Additional features of the system can include, e.g. Zero Buffer Copies, Scatter/Gather I/O, T3 Connections, and Lazy Deserialization.

System and method for providing zero buffer copying in a middleware machine environment

A method for using available server threads to process resources and reduce the overall time of performing XA interactions in two-phase commit protocol implemented by the transaction manager. A TM processing XA interactions dispatches interaction commands for multiple resources to a thread manager, which dispatches the commands to idle server threads. In one embodiment, the TM attempts to dispatch all but one of the interaction commands to separate threads. The primary thread then processes the remaining resource command. Any commands relating to dispatch requests that were unable to be dispatched to separate threads due to unavailability are processed by the primary thread. Once the primary server has processed its interaction commands and received a signal indicating the threads receiving dispatch requests have completed their respective processing of dispatched commands, the next group of commands is processed in a similar manner.

Parallel transaction execution with a thread pool

A logging last resource (LLR) system can provide a transaction log and transaction data to a LLR resource after a number of two-phase-commit resources have been prepared. The LLR resource manager can operate on the transaction log and transaction data in an atomic fashion so that the local commit can be done. The local commit can be done by the LLR manager in an atomic manner.

Logging last resource system

An embodiment of the invention allows a software developer or administrator to use their knowledge and/or development of a particular application, to optimize the performance of data access and updates to the database. In order to do this, an embodiment of the invention makes use of the developers knowledge of particular transaction and transaction operations that can be performed in a commutative manner. The overall effect is to perform the operations in a parallel fashion so that one operation does not block or restrict the processing of a second operation. The result is an increase in database access or performance, without any resulting decrease in database reliability.

System and method for performing commutative operations in data access systems

A system and a method for dynamic or as-needed activation of Remote Method Invocation (RMI) layer remote objects in response to a client request. Object activation allows the system to clean up or delete currently unused remote objects, and then reactivate them when a client actually needs them. An object implementation can first be created in response to a client request. The client receives a remote reference (remote ref) and an activation identifier (activation id) identifying that particular implementation. The implementation can subsequently be cleaned up or deleted during garbage collection so as to save server resources, or alternatively the object can be reused if the system is set up to maintain a pool of objects. When the client requests the same object at a later point in time, the system activates an object based on the activation ID previously received from the server.

System and method for dynamic remote object activation

In a traditional application server that uses servlets, when a request is dispatched to a thread the service method of the appropriate servlet is called. When the service method returns the response is sent. This is sub-optimal in the case that an asynchronous event must occur before the response can be sent, because the thread running the servlet must block until the event occurs. The invention provides for asynchronous processing of such requests. In one embodiment, the invention provides an extension to the Servlet API which allows the service method to return (and thus the thread to be freed) before the response is ready to be sent. Then when the asynchronous event later occurs the response may be completed and sent.

System for integrating java servlets with asynchronous message

An improved resource pool is provided that provides for dynamic configuration and is comprised of code that is configured to be used for different subsystems, including JDBC, Connector, and JMS subsystems. Pool maintenance, resource object creation and timeout, multiple deque management, and pool state transition features are provided. An application server may include at least one resource pool object, wherein each resource pool object represents a resource pool in the application server. An improved prepared statement cache is also provided that works in conjunction with the resource pool implementation to more effectively provide for prepared statement processing.

Connection pool and prepared statement cache

A session replication system provides real-time data replication without unnecessarily slowing down the user experience. A system in accordance with the present invention may utilize a primary server to serve requests from a network client, as well as a secondary server to replicate the session information. When a request is received on the session, an attempt may be made to serve the request on the primary server. If the primary is unable to receive or respond to the request, the request may be served on the secondary server or on a new primary server. If the secondary server receives the request, the secondary server may become the new primary server. If a new primary server is selected, the new primary may request the session information from the secondary server.

Hardware load-balancing apparatus for session replication

Method for transaction processing with parallel execution

Concurrency can be maintained in cluster caching when processing an update request on network server that is storing a local copy of a data item. The request can be processed using the local copy of the data item. A predicated update request can be sent to a network database storing the data item, wherein the database can commit the update if the local copy is current with the data item. If the local copy is not current, the network server can request a new copy, process the request using the current copy, and try another predicated request. The process can continue until the update is committed to the database or aborted. Once committed, any other servers in the cluster can be notified that the data item has been updated. Those other servers can drop any local copy of the data item and can request an updated copy of the data item.

Cluster caching with concurrency checking

A session replication system provides real-time data replication without unnecessarily slowing down the user experience. A system in accordance with the present invention may utilize a primary server to serve requests from a network client, as well as a secondary server to replicate the session information. When a request is received on the session, an attempt may be made to serve the request on the primary server. If the primary is unable to receive or respond to the request, the request may be served on the secondary application server or on a new primary server. If the secondary server receives the request, the secondary server may become the new primary server. If a new primary server is selected, the new primary may request the session information from the secondary server.

Method and apparatus for session replication and failover

Transactions are granted concurrent access to a data item through the use of an optimistic concurrency algorithm. Each transaction gets its own instance of the data item, such as in a cache or in an entity bean, such that it is not necessary to lock the data. The instances can come from the data or from other instances. When a transaction updates the data item, the optimistic concurrency algorithm ensures that the other instances are notified that the data item has been changed and that it is necessary to read a new instance, from the database or from an update instance.

Growing community of inventors

San Francisco, CA, United States of America

Adam Messinger