A Stable and Unstable States Detection Method for Service Discovery

Abstract

Service Discovery technologies were developed to fulfil the Pervasive Computing’s “disappearance”. In Pervasive Computing the courses of devices using Service Discovery Technologies have stable and unstable states, the existing Service Discovery Technologies have a shortcoming of having no response to the stable states, and this brings unnecessary cost of service. To overcome this demerit a method of detecting stable and unstable states is introduced and proved. According to the method we experimented with pure DEAPspace to detect the stable and unstable states, and the results prove the correctness of the theory. Based on the theory we modified and experimented with DEAPspace, the results indicate that the broadcast-count is reduced 30% at least during stable-state-period in the states detection based DEAPspace, this will reduce the unnecessary cost of service Significantly.