Abstract: Certain example embodiments relate to a highly-concurrent, predictable, fast, self-managed, in-process space for storing data that is hidden away from the garbage collector and its related pauses. More particularly, certain example embodiments relate to improved memory management techniques for computer systems that leverage an off-heap direct-memory data store that is massively scalable and highly efficient. The off-heap store may be provided in connection with a Java-based environment, and garbage collection may be completely or nearly completely avoided for the off-heap store. The off-heap store may be integrated into a tiered storage solution in certain example embodiments.

Abstract: Certain example embodiments relate to a highly-concurrent, predictable, fast, self-managed, in-process space for storing data that is hidden away from the garbage collector and its related pauses. More particularly, certain example embodiments relate to improved memory management techniques for computer systems that leverage an off-heap direct-memory data store that is massively scalable and highly efficient. The off-heap store may be provided in connection with a Java-based environment, and garbage collection may be completely or nearly completely avoided for the off-heap store. The off-heap store may be integrated into a tiered storage solution in certain example embodiments.

Abstract: Certain example embodiments relate to a highly-concurrent, predictable, fast, self-managed, in-process space for storing data that is hidden away from the garbage collector and its related pauses. More particularly, certain example embodiments relate to improved memory management techniques for computer systems that leverage an off-heap direct-memory data store that is massively scalable and highly efficient. The off-heap store may be provided in connection with a Java-based environment, and garbage collection may be completely or nearly completely avoided for the off-heap store. The off-heap store may be integrated into a tiered storage solution in certain example embodiments.

Abstract: Certain example embodiments relate to a highly-concurrent, predictable, fast, self-managed, in-process space for storing data that is hidden away from the garbage collector and its related pauses. More particularly, certain example embodiments relate to improved memory management techniques for computer systems that leverage an off-heap direct-memory data store that is massively scalable and highly efficient. The off-heap store may be provided in connection with a Java-based environment, and garbage collection may be completely or nearly completely avoided for the off-heap store. The off-heap store may be integrated into a tiered storage solution in certain example embodiments.

Abstract: Certain example embodiments relate to a highly-concurrent, predictable, fast, self-managed, in-process space for storing data that is hidden away from the garbage collector and its related pauses. More particularly, certain example embodiments relate to improved memory management techniques for computer systems that leverage an off-heap direct-memory data store that is massively scalable and highly efficient. The off-heap store may be provided in connection with a Java-based environment, and garbage collection may be completely or nearly completely avoided for the off-heap store. The off-heap store may be integrated into a tiered storage solution in certain example embodiments.

Abstract: Certain example embodiments provide a single pass, reverse chronological approach to write-ahead log recovery, enabling space- and time-efficient the recovery of stored data from large write-ahead logs to a transient storage medium. The techniques described herein can in certain instances enable fast and efficient recovery, even in scenarios where at the time of a failure requiring such a recovery the live log is potentially multiple terabytes or larger in size. Certain example embodiments make use of a filtering mechanism (e.g., involving potentially stateful delete, skip, and/or transaction filters), a key/value property (allowing a live set of data, once identified, to be applied in any arbitrary order), etc. A simplified environment with a small closed set of mutative operations allows for the performing of recovery backwards by scanning the log from the most recent written record backwards in time (and, in other words, finishing with the oldest record).

Abstract: Certain example embodiments relate to a highly-concurrent, predictable, fast, self-managed, in-process space for storing data that is hidden away from the garbage collector and its related pauses. More particularly, certain example embodiments relate to improved memory management techniques for computer systems that leverage an off-heap direct-memory data store that is massively scalable and highly efficient. The off-heap store may be provided in connection with a Java-based environment, and garbage collection may be completely or nearly completely avoided for the off-heap store. The off-heap store may be integrated into a tiered storage solution in certain example embodiments.

Abstract: Technology for sharing data among multiple virtual machines in a cluster of virtual machines is disclosed. Each virtual machine identifies “managed” objects of an instance of an application running at the virtual machine. The managed objects are objects for which state information is to be replicated at the other virtual machines in the cluster on which other instances of the application are running. Operations performed by an instance of one application which affect the state of managed objects are detected and distributed.

Abstract: Technology for sharing data among multiple virtual machines in a cluster of virtual machines is disclosed. Each virtual machine identifies “managed” objects of an instance of an application running at the virtual machine. The managed objects are objects for which state information is to be replicated at the other virtual machines in the cluster on which other instances of the application are running. Operations performed by an instance of one application which affect the state of managed objects are detected and distributed.

Abstract: Technology for sharing data among multiple virtual machines in a cluster of virtual machines is disclosed. Each virtual machine identifies “managed” objects of an instance of an application running at the virtual machine. Operations performed by an instance of one application which affect the state of managed objects are detected and distributed. Centralized lock management is provided where a cluster virtual machine requests a lock which affects managed object, and communicates a request to the central manager for the lock. A central manager determines whether the lock is available, and if it is, grants the lock to the virtual machine. The central manager grants the lock to the requesting virtual machine when no other virtual machine currently has the lock.

Abstract: Technology for sharing data among multiple virtual machines in a cluster of virtual machines is disclosed. Each virtual machine identifies “managed” objects of an instance of an application running at the virtual machine. Operations performed by an instance of one application which affect the state of managed objects are detected and distributed. The technology includes creating synthetic transactions at a virtual machine. The transactions share object data among the virtual machines in the cluster. The transactions are considered to be “synthetic” because they are synthesized based on boundaries introduced by the data sharing agent or an implementation of a virtual machine supporting managed objects in accordance with the description herein.

Abstract: Technology for sharing data among multiple virtual machines in a cluster of virtual machines is disclosed. Each virtual machine identifies “managed” objects of an instance of an application running at the virtual machine. Operations performed by an instance of one application which affect the state of managed objects are detected and distributed. Technology is included for distributing signaling between threads on different virtual machines. The technique extends existing language semantics, including “synchronized”, “wait” and “notify”, “thread.join” and network call methods to an entire cluster of virtual machines.