science

Orc (programming language)

Orc (programming language) is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Orc (programming language) rather than just read about it. In short: Orc is a concurrent, nondeterministic computer programming language created by Jayadev Misra at the University of Texas at Austin. Orc provides uniform access to computational services, including distributed communication and data manipulation, through sites.

Key takeaways

Orc (programming language) belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Orc (programming language) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Orc (programming language) from memory before moving on to harder problems.

Reference excerpt

Orc is a concurrent, nondeterministic computer programming language created by Jayadev Misra at the University of Texas at Austin. Orc provides uniform access to computational services, including distributed communication and data manipulation, through sites. Using four simple concurrency primitives, the programmer orchestrates the invocation of sites to achieve a goal, while managing timeouts, priorities, and failures.

External links Official website

Bibliography

Misra, Jayadev (2005). "Computation Orchestration". In Broy, Manfred; Grünbauer, Johannes; Harel, David; Hoare, Tony (eds.). Engineering Theories of Software Intensive Systems. NATO Advanced Study Institute on Engineering Theories of Software Intensive Systems. NATO Science Series. Vol. 195. Marktoberdorf, Germany: Springer. pp. 285–330. doi:10.1007/1-4020-3532-2_10. ISBN 978-1-4020-3530-2. Hoare, Tony; Menzel, Galen; Misra, Jayadev (2005). "A Tree Semantics of an Orchestration Language". In Broy, Manfred; Grünbauer, Johannes; Harel, David; Hoare, Tony (eds.). Engineering Theories of Software Intensive Systems. NATO Advanced Study Institute on Engineering Theories of Software Intensive Systems. NATO Science Series. Vol. 195. Marktoberdorf, Germany: Springer. pp. 331–350. doi:10.1007/1-4020-3532-2_11. ISBN 978-1-4020-3530-2. Misra, Jayadev (2004). A Programming Model for the Orchestration of Web Services. Software Engineering and Formal Methods. Beijing, China: IEEE. pp. 2–11. doi:10.1109/SEFM.2004.1347498. ISBN 0-7695-2222-X. Kitchin, David; Cook, William R.; Misra, Jayadev (2006). Baier, Christel; Hermanns, Holger (eds.). A Language for Task Orchestration and Its Semantic Properties. Concurrency Theory. Lecture Notes in Computer Science. Vol. 4137. Bonn, Germany: Springer. pp. 477–491. doi:10.1007/11817949_32. ISBN 978-3-540-37376-6. Misra, Jayadev; Cook, William R. (March 2007). "Computation Orchestration: A Basis for Wide-Area Computing". Software & Systems Modeling. 6 (1): 83–110. doi:10.1007/s10270-006-0012-1. ISSN 1619-1366. S2CID 19295659. AlTurki, Musab; Meseguer, José (2007). Real-Time Rewriting Semantics of Orc. Principles and Practice of Declarative Programming. Wroclaw, Poland: ACM. pp. 131–142. doi:10.1145/1273920.1273938. ISBN 978-1-59593-769-8. Retrieved 2015-04-14. Rosario, Sidney; Kitchin, David; Benveniste, Albert; Cook, William; Haar, Stefan; Jard, Claude (2007). Dumas, Marlon; Heckel, Reiko (eds.). Event Structure Semantics of Orc. Web Services and Formal Methods. Lecture Notes in Computer Science. Vol. 4937. Brisbane, Australia: Springer. pp. 154–168. doi:10.1007/978-3-540-79230-7_11. ISBN 978-3-540-79229-1. Wehrman, Ian; Kitchin, David; Cook, William R.; Misra, Jayadev (2006). "A Timed Semantics of Orc". Theoretical Computer Science. 402 (2–3): 234–248. doi:10.1016/j.tcs.2008.04.037. ISSN 0304-3975. Cook, William; Misra, Jayadev (2008). "Structured Interacting Computations". In Wirsing, Martin; Banâtre, Jean-Pierre; Hölzl, Matthias; Rauschmayer, Axel (eds.). Software-Intensive Systems and New Computing Paradigms: Challenges and Visions. Lecture Notes in Computer Science. Vol. 5380. Springer. pp. 139–145. doi:10.1007/978-3-540-89437-7_9. ISBN 978-3-540-89436-0.

Worked examples

Example 1 — a first encounter with Orc (programming language)

Start with the simplest possible case. Write down what Orc (programming language) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Orc (programming language) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Orc (programming language) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Orc (programming language)

In research: Orc (programming language) appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Orc (programming language) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Orc (programming language) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Concurrent programming languages, Nondeterministic programming languages, Programming language topic stubs, so understanding it makes those chapters shorter.
In everyday life: Look for Orc (programming language) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Orc (programming language) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Orc (programming language) means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Orc (programming language) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Orc (programming language) in simple terms?

Why does Orc (programming language) matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Orc (programming language)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Orc (programming language).