Fast, Optimized Sun RPC Using Automatic Program Specialization

Gilles Muller (1) , Renaud Marlet (1) , Eugen-Nicolae Volanschi (1) , Charles Consel (1) , Calton Pu , Ashvin Goel

1 COMPOSE - Design and development of adaptive programs and systems

Fast remote procedure call (RPC) is a major concern for distributed systems. Many studies aimed at efficient RPC consist in either new implementations of the RPC paradigm or manual optimization of critical sections of the code. This paper presents an experiment that achieves automatic optimization of an existing, commercial RPC implementation, namely the Sun RPC. The optimized Sun RPC is obtained by using an automatic program specializer. It runs up to 1.5 times faster than the original Sun RPC. Close examination of the specialized code does not reveal further optimizations opportunities which would lead to significant improvements without major manual restructuring. The contributions of this work are: (1) the optimized code is safely produced by an automatic tool and thus does not entail any additional maintenance; (2) to the best of our knowledge this is the first successful specialization of mature, commercial, representative system code; and (3) the optimized Sun RPC runs significantly faster than the original code.

Mots clés: PARTIAL EVALUATION; RPC PROTOCOL; AUTOMATIC OPTIMISATIZATION.; SUN RPC; DISTRIBUTED SYSTEMS; GENERIC SYSTEMS; AUTOMATIC OPTIMISATIZATION

Domaines: Autre [cs.OH]

Gilles Muller, Renaud Marlet, Eugen-Nicolae Volanschi, Charles Consel, Calton Pu, et al.. Fast, Optimized Sun RPC Using Automatic Program Specialization. [Research Report] RR-3220, INRIA. 1997. ⟨inria-00073469⟩