Matching distributed systems to their environment using dissipative structures

In contrast to a large body of theoretical work on computer systems, distributed systems are not idealised constructions, unconstrained by physical world limitations. They must be designed to account for limiting, real-world properties such as network latency, varying node capabilities, varying application behaviour and unexpected failures. These real-world properties, that we describe under the general area of a system’s environment, have regularities or heterogeneities that can often be modelled as a stochastic process, often using well-known distributions. This paper proposes dissipative structures as a model to capture information about properties of these stochastic processes. In dissipative systems, agents (or nodes) sample information from their local environments and collectively build structures that capture knowledge of recent regularities or heterogeneities in the system’s environment. Dissipative structures are a promising technique for transferring knowledge of the sy...

• Type: Conference
• Year: 2005
• Where: COLCOM
• Authors: Jim Dowling, Dominik Dahlem, Jan Sacha
• Keywords: COLCOM 2005, Dissipative Structures, Real-world Properties, System’s Environment