Supporting increment and decrement operations in balancing networks

  • Authors:
  • William Aiello;Costas Busch;Maurice Herlihy;Marios Mavronicolas;Nir Shavit;Dan Touitou

  • Affiliations:
  • AT&T Labs, Florham Park, NJ;Department of Computer Science, Brown University, Providence, RI;Department of Computer Science, Brown University, Providence, RI;Department of Computer Science, University of Cyprus, Nicosia, Cyprus and Department of Computer Science and Engineering, University of Connecticut, Storrs, CT;Department of Computer Science, School of Mathematical Sciences, Tel-Aviv University, Tel-Aviv, Israel;IDC Herzliya, Tel-Aviv, Israel

  • Venue:
  • STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
  • Year:
  • 1999

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Abstract

Counting networks are a class of distributed data structures that support highly concurrent implementations of shared Fetch&Increment counters. Applications of these counters include shared pools and stacks, load balancing, and software barriers [4, 12, 13, 18]. A limitation of counting networks is that the resulting shared counters can be incremented, but not decremented. A recent result by Shavit and Touitou [18] showed that the subclass of tree-shaped counting networks can support, in addition, decrement operations. This paper generalizes their result, showing that any counting network can be extended to support atomic decrements in a simple and natural way. Moreover, it is shown that decrement operations can be supported in networks that provide weaker properties, such as K-smoothing. In general, we identify a broad class of properties, which we call boundedness properties, that are preserved by the introduction of decrements: if a balancing network satisfies a particular boundedness property for increments alone, then it continues to satisfy that property for both increments and decrements. Our proofs are purely combinatorial and rely on the novel concept of a fooling pair of input vectors.