Progress Software Corporation

Tesora, Inc.

Victor John Yannacone, Jr.

Benjamin A Rousseau

Carl Hu

Frederick A Tompkins, Jr

Mrithyunjaya Annapragada

Duk Loi

Douglas A Shelley

Victor John Yannacone, Jr

Carol A Yannacone

Jacob Green

William B Hobbins

Peter Stachowski

Transactional database replication techniques are disclosed that do not require altering of the database management system implementation. A replicator module includes a dynamic membership manager, which is configured to manage the persistent membership of a coordination group. The persistent membership can be, for example, a durable set of sites that can replicate changes amongst themselves. Changes from sites not in the persistent membership are discarded. The set of recovered members is a subset of the persistent membership. The persistent membership changes incrementally by either removing or adding members. Failed members may still be part of the persistent membership. The dynamic membership manager module manages the modification of the persistent membership, initialization of replicas, and propagation of membership information.

Dynamic membership management in a distributed system

An elastic parallel database system where data distribution is container- and container-context based. Container Based Tables are defined and Container Member Tables achieve co-location of data as needed. A polymorphic key may also establish polymorphic key relationships between rows in one table and rows in many other possible tables.

Advancements in data distribution methods and referential integrity

An elastic parallel database system where metadata is specified out-of-band during database operations via a set of augmentation rules. The rules are used to augment or modify commands received, and indicate whether they are to be used for specific connections on which they are received, for all client connections, or some other scope.

Dynamic rules based query rewriting engine

Out-of-band specification of metadata during database operations

Redistribution reduction in EPRDBMS

An infrared imaging camera () acquires a plurality of frames () of infrared radiation from a patient (P) positioned in a field-of-view () of the camera (). Each frame () is acquired during a corresponding frame sample interval and each frame () corresponds to the infrared radiation acquired from an array of optical elements () in the field-of-view () during its frame sample interval. Plural rates of change are determined from infrared radiation received from the array of optical elements (), with each rate of change corresponding to a change of infrared radiation received from the same optical element () in at least two frames (). Each rate of change is mapped to a color or a shade of gray and the color or shade of gray of each rate of change is mapped to a position in an image corresponding to the position of the corresponding optical element () in the field-of-view (). The camera () can be used for early detection of neoplastic disease process, detection of angiogenesis and/or identification of treatment sites for pain management therapeutic modalities.

Method and apparatus for high resolution dynamic digital infrared imaging

Transactional database replication techniques are disclosed. The techniques can be realized in many ways, such as in a replicator module that can be instantiated at each site in a distributed system. The techniques support a variety of data storage technologies such as traditional durable transactional databases as well as in-memory data storage systems, and a variety of data types such as relational, flat file, XML, and object-oriented data. Guaranteed levels of distributed transactional data consistency for both reads and writes are enabled for database applications. The techniques also support the ability of applications distributed across a network to perform updates concurrently, and the ability to replicate many standard database systems without needing to modify their intrinsic behavior or needing them to be aware of the replicator, and the ability to tolerate network and process failures without any change to the data consistency guarantees provided to the applications.

Update-anywhere replication of distributed systems

Growing community of inventors

Somerville, MA, United States of America

Benjamin A Rousseau