# Guesstimate A Programming Model For Collaborative -Books Pdf

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11 11 Board r c Text s puzzle r c, 12 public bool Update int r int c int v 12 Guesstimate EndRead s. 13 13 Board r c BackColor color,14 adds value to puzzle r c if all constraints 14. 15 are satisfied 15 void OnUpdate int r int c int v. 16 if r 9 r 0 return false 16 the operation we want to do is s Update r c v. 17 if c 9 c 0 return false 17 Operation op Guesstimate CreateOperation s Update r c v. 18 if v 9 v 0 return false 18 Issue the shared operation together with a completion function. 19 if Check r c v 19 bool res Guesstimate IssueOperation op. 20 return false 20 bool b if b ReDraw r c Color GREEN. 21 puzzle r c v 21 else ReDraw r c Color RED,22 return true 22 if res. 23 23 ReDraw r c Color YELLOW,24 public void copy GSharedObject src 24. Figure 1 Sudoku class Figure 2 UI class, ceeded on the guesstimated copy The Redraw function lines 9 GUESSTIMATE API The above example motivates the various.
3 Formal Model for any pair of shared states 1 and 2 1 if s 1 h 2 truei. In this section we describe the G UESSTIMATE programming then h 1 2 i s and 2 if s 1 h 2 falsei then 1. model formally and give an operational semantics for the model 2 That is a shared operation either returns true and satisfies. The programming model is presented at the level of abstraction a its specification or returns false and does not modify the shared. programmer needs to understand in order to write programs Thus state We use specifications on shared operations to reason about. the internal details of how the G UESSTIMATE runtime performs applications written using G UESSTIMATE More details can be. replication and synchronization are somewhat hidden in this pre found in Section 5. sentation Section 4 presents the G UESSTIMATE runtime and ar A completion operation reads the local state shared state and a. gues that the runtime indeed faithfully implements the operational boolean value and updates the local state A completion operation. semantics presented in this section therefore has signature B The set of all completion. operations is C, Objects and state A distributed system is a pair hM Si where M. A composite operation o is a pair hs ci where s S is a shared. is a tuple of M machines hm1 m2 m M i and S is a set of. operation and c C is a completion operation In a composite. shared objects In the example in Section 2 the Sudoku object is a. operation the boolean value produced by the shared operation is. shared object An application can have several such shared objects. passed as an argument to the corresponding completion operation. A shared state is a valuation to the set of shared objects is the set. The set of all composite operations is O The semantics of a. of all shared states In addition each machine mi M maintains. composite operation hs ci can thus be understood as. a set of local objects Li and this set could be different for different. machines A local state is a valuation to the local objects is the let 1 b s in. set of all local states The programming model has four kinds of let 1 c 1 b in. operations 1 local operation 2 shared operation 3 completion 1 1. operation and 4 composite operation described formally below. The state of a machine is a 5 tuple h C c P g i where Given a composite operation o hs ci we use the notation o or. is the local state at the machine C is a sequence of equivalently hs ci to denote a function with signature. completed shared operations c is the committed state at the with the following semantics. machine P is a sequence of pending composite operations at the. machine and g is the guesstimated state at the machine hs ci let 1 b s in 1. The committed state c is obtained by executing the sequence We also extend the notation to map a sequence of composite. of completed operations C from the initial state The programming operations to function with signature with the semantics. model guarantees that the sequence C of completed operations is. identical across all machines and thus C and c are equal for all o1 o2 on on on 1 o2 o1. R1 o L issued at machine i i o g i i,o hs ci C issued at machine i P i Append P i o. s g i true g i o g i,P i AllButFirst P i,C i Append C i s. c i i o c i i,R3 o hs ci First P i,j 6 i C j Append C j s. j 6 i c j s c j,j 6 i g j P j s c j,Figure 3 Operational semantics.
Hejlsberg Rama Ramasubramanian Sanjiva Prasad and the anony. mous reviewers for their insightful comments on earlier drafts of. this paper,References, 1 Ali Reza Adl Tabatabai Brian T Lewis Vijay Menon Brian R. Murphy Bratin Saha and Tatiana Shpeisman Compiler and runtime. support for efficient software transactional memory In PLDI 06. Programming language design and implementation 2006. 2 Mike Barnett K Rustan M Leino K Rustan M Leino and Wolfram. Schulte The spec programming system An overview In CASSIS. 04 Construction and Analysis of Safe Secure and Interoperable. Smart Devices 2004, 3 Mike Barnett Bor yuh Evan Chang Robert Deline Bart Jacobs and. K Rustanm Leino Boogie A modular reusable verifier for object. oriented programs In FMCO 05 Formal Methods for Components. and Objects 2006, 4 Philip A Bernstein Vassos Hadzilacos and Nathan Goodman. Concurrency Control and Recovery in Database Systems 1987. 5 Robert L Bocchino Vikram S Adve and Bradford L Chamberlain. Software transactional memory for large scale clusters In PPoPP. 08 Principles and practice of parallel programming 2008. 6 Philippe Charles Christian Grothoff Vijay Saraswat Christopher. Donawa Allan Kielstra Kemal Ebcioglu Christoph von Praun and. Vivek Sarkar X10 an object oriented approach to non uniform. cluster computing In OOPSLA 05 Object oriented programming. systems languages and applications 2005, 7 C A Ellis and S J Gibbs Concurrency control in groupware. systems In SIGMOD 89 SIGMOD international conference on. Management of data 1989, 8 Sanjay Ghemawat Howard Gobioff and Shun Tak Leung The.
google file system In SOSP 03 Symposium on Operating systems. principles 2003, 9 Maurice P Herlihy and Jeannette M Wing Linearizability a. correctness condition for concurrent objects ACM Trans Program. Lang Syst 12 3 463 492 1990, 10 Anne Marie Kermarrec Antony Rowstron Marc Shapiro and Peter. Druschel The icecube approach to the reconciliation of divergent. replicas In PODC 01 Principles of distributed computing 2001. 11 Leslie Lamport How to make a multiprocessor computer that. correctly executes multiprocess programs IEEE Trans Computers. 12 Karin Petersen Mike Spreitzer Douglas Terry and Marvin Theimer. Bayou replicated database services for world wide applications In. EW 7 Proceedings of the 7th workshop on ACM SIGOPS European. workshop 1996, 13 Benjamin C Pierce and Je ro me Vouillon What s in Unison A formal. specification and reference implementation of a file synchronizer. Technical Report MS CIS 03 36 Dept of Computer and Information. Science University of Pennsylvania 2004, 14 Yasushi Saito and Marc Shapiro Optimistic replication ACM.

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