Each sector of the Situation System is composed of control, functions and
persistent data, and assets local to the sector.
Thus, data management systems are created ideally for
persistent data and any system enabling the creation, deletion, storage and retrieval of
persistent data in an orderly manner, but independent of end-user applications, is referred to as a database management system (DBMS).
Data center operators and metro service providers also deploy CALIENT switches to offload large highly
persistent data flows from packet networks to optical circuit switched networks within and between data centers, delivering light speed express path connectivity between compute resources with virtually no latency.
With source code annotations, a Java program can be made to manage transactionally consistent, reliable, and
persistent data. Though key/value storage is straightforward in this scenario, it has problems at scale, most notably with throughput but also with intermittent pauses as Java manages ages garbage collection operations.
The Steelhead 7050 is the first WAN optimization appliance where the
persistent data store is 100% resident on SSDs, minimizing disk access times and latency to allow it to deliver the speed necessary to handle extreme work loads.
Rogers (an embedded software engineer with 30 years of experience), Lombardo (author, Embedded Linux), Mednieks (chief user interface architect, D2 Technologies) and Meike (independent developer) describe Android feature sets that include views, maps, location-based services,
persistent data storage, telephony services and inter-process communications.
"To solve that need, we're pleased to work with Websense to deliver
persistent data protection where policy drives encryption decisions and information access is enforced both inside and outside of the corporate network."
The data classes support
persistent data management-data that is stored on backend databases.
But if enterprises were able to keep all
persistent data at the data center and still provide LAN-like access to data fur remote office users, corporations would have the best of both worlds--centralized data protection and management combined with high application service levels for their remote users.
The next-generation DBMSs provide these new features while retaining most of the important features of traditional DBMSs: the ability to deal with large amounts of
persistent data efficiently, using transactions for concurrency control and recovery.