2000arXiv (Cornell University)Open access

TSIA: A Dataflow Model

Burkhard Steinmacher-Burow

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Abstract

The Task System and Item Architecture (TSIA) is a model for transparent application execution. In many real-world projects, a TSIA provides a simple application with a transparent reliable, distributed, heterogeneous, adaptive, dynamic, real-time, parallel, secure or other execution. TSIA is suitable for many applications, not just for the simple applications served to date. This presentation shows that TSIA is a dataflow model - a long-standing model for transparent parallel execution. The advances to the dataflow model include a simple semantics, as well as support for input/output, for modifiable items and for other such effects.

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The Task System and Item Architecture (TSIA) is a model for transparent application execution. In many real-world projects, a TSIA provides a simple application with a transparent reliable, distributed, heterogeneous, adaptive, dynamic, real-time, parallel, secure or other execution. TSIA is suitable for many applications, not just for the simple applications served to date. This presentation shows that TSIA is a dataflow model - a long-standing model for transparent parallel execution. The advances to the dataflow model include a simple semantics, as well as support for input/output, for modifiable items and for other such effects.

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Available abstract

The Task System and Item Architecture (TSIA) is a model for transparent application execution. In many real-world projects, a TSIA provides a simple application with a transparent reliable, distributed, heterogeneous, adaptive, dynamic, real-time, parallel, secure or other execution. TSIA is suitable for many applications, not just for the simple applications served to date. This presentation shows that TSIA is a dataflow model - a long-standing model for transparent parallel execution. The advances to the dataflow model include a simple semantics, as well as support for input/output, for modifiable items and for other such effects.

Key concepts: Dataflow, Computer science, Dataflow architecture, Simple (philosophy), Execution model, Semantics (computer science), Distributed computing, Task (project management)

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