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"Linda" is the name of a public domain technology originally propounded by Dr David Gelernter of Yale University "Linda" is also claimed as a trademark for certain goods by Scientific Computing Associates, Inc This discussion refers to the public domain "Linda" technology The JavaSpaces system design is strongly influenced by Linda systems, which support a similar model of entry based shared concurrent processing In Section JS41, "Linda Systems", you will find several references that describe Linda style systems No knowledge of Linda systems is required to understand this specification This section discusses the relationship of JavaSpaces systems with respect to Linda systems for the benefit of those already familiar with Linda programming Other readers should feel free to skip ahead JavaSpaces systems are similar to Linda systems in that they store collections of information for future computation and are driven by value based lookup They differ in some important ways: Linda systems have not used rich typing JavaSpaces systems take a deep concern with typing from the Java platform type safe environment In JavaSpaces systems, entries themselves, not just their fields, are typed two different entries with the same field types but with different data types for the Java programming language are different entry types For example, an entry that had a string and two double values could be either a named point or a named vector In JavaSpaces systems these two entry types would have specific different classes for the Java platform, and templates for one type would never match the other, even if the values were compatible Entries are typed as objects in the Java programming language, so they may have methods associated with them This provides a way of associating behavior with entries As another result of typed entries, JavaSpaces services allow matching of subtypes a template match can return a type that is a subtype of the template type This means that the read or take may return more states than anticipated In combination with the previous point, this means that entry behavior can be polymorphic in the usual object oriented style that the Java platform provides The fields of entries are objects in the Java programming language Any object data type for the Java programming language can be used as a template for matching entry lookups as long as it has certain properties This means that computing systems constructed using the JavaSpaces API are object riented from top to bottom, and behavior based (agent like) applications can use JavaSpaces services for co ordination Most environments will have more than one JavaSpaces service Most Linda tuple spaces have one tuple space for all cooperating threads So transactions in the JavaSpaces system can span multiple spaces (and even non JavaSpaces system transaction participants) Entries written into a JavaSpaces service are leased This helps keep the space free of debris left behind due to system crashes and network failures The JavaSpaces API does not provide an equivalent of "eval" because it would require the service to execute arbitrary computation on behalf of the client Such a general compute service has its own large number of requirements (such as security and fairness) On the nomenclature side, the JavaSpaces technology API uses a more accessible set of terms than the traditional Linda terms The term mappings are "entry" for "tuple," "value" for "actual," "wildcard" for "formal," "write" for "out," and "take" for "in" So the Linda sentence "When you 'out' a tuple make sure that actuals and formals in 'in' and 'read' can do appropriate matching" would be translated to "When you write an entry make sure that values and wildcards in take and read can do appropriate matching" JS15 Goals and Requirements The goals for the design of JavaSpaces technology are:.

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