Abstract: One machine, i.e. computer, on a network, such as associated with a distributed database, e.g. a data store or a partition thereof, is designated as a master, which alone can issue system orderstamps for transactional operations, while other machines associated with the data store or partition thereof act as any of clients that submit transactions to the master, or as slaves that adhere to updates from the master. If a transactional operation on the distributed database is attempted on a client machine, and communication cannot be established with the master machine, the transaction fails. The distributed data store having such a master provides a method that decreases transaction time across the distributed database, and maintains consistent data between separate machines.

Abstract: One machine, i.e. computer, on a network, such as associated with a distributed database, e.g. a data store or a partition thereof, is designated as a master, which alone can issue system orderstamps for transactional operations, while other machines associated with the data store or partition thereof act as any of clients that submit transactions to the master, or as slaves that adhere to updates from the master. If a transactional operation on the distributed database is attempted on a client machine, and communication cannot be established with the master machine, the transaction fails. The distributed data store having such a master provides a method that decreases transaction time across the distributed database, and maintains consistent data between separate machines.

Abstract: Horizontal partitioning can handle a transaction by accessing a single node only if the transaction is restricted along the single partitioned dimension. Composite partitioning allows for partitioning along more than one dimension, but can only handle a transaction by accessing a single node if the transaction is limited along all partitioned dimensions. A partitioning method partitions a tuple space along more than one dimension and, by storing tuples redundantly, allows transactions restricted along one or more of the partitioned dimensions to be handled by accessing a single node. Other embodiments include a computer program product and a system for partitioning a tuple space.

Abstract: One machine, i.e. computer, on a network, such as associated with a distributed database, e.g. a data store or a partition thereof, is designated as a master, which alone can issue system orderstamps for transactional operations, while other machines associated with the data store or partition thereof act as any of clients that submit transactions to the master, or as slaves that adhere to updates from the master. If a transactional operation on the distributed database is attempted on a client machine, and communication cannot be established with the master machine, the transaction fails. The distributed data store having such a master provides a method that decreases transaction time across the distributed database, and maintains consistent data between separate machines.

Abstract: Horizontal partitioning can handle a transaction by accessing a single node only if the transaction is restricted along the single partitioned dimension. Composite partitioning allows for partitioning along more than one dimension, but can only handle a transaction by accessing a single node if the transaction is limited along all partitioned dimensions. A partitioning method partitions a tuple space along more than one dimension and, by storing tuples redundantly, allows transactions restricted along one or more of the partitioned dimensions to be handled by accessing a single node. Other embodiments include a computer program product and a system for partitioning a tuple space.

Abstract: Horizontal partitioning can handle a transaction by accessing a single node only if the transaction is restricted along the single partitioned dimension. Composite partitioning allows for partitioning along more than one dimension, but can only handle a transaction by accessing a single node if the transaction is limited along all partitioned dimensions. A partitioning method partitions a tuple space along more than one dimension and, by storing tuples redundantly, allows transactions restricted along one or more of the partitioned dimensions to be handled by accessing a single node. Other embodiments include a computer program product and a system for partitioning a tuple space.

Abstract: One machine, i.e. computer, on a network, such as associated with a distributed database, e.g. a data store or a partition thereof, is designated as a master, which alone can issue system orderstamps for transactional operations, while other machines associated with the data store or partition thereof act as any of clients that submit transactions to the master, or as slaves that adhere to updates from the master. If a transactional operation on the distributed database is attempted on a client machine, and communication cannot be established with the master machine, the transaction fails. The distributed data store having such a master provides a method that decreases transaction time across the distributed database, and maintains consistent data between separate machines.