This chapter presents the Living Systems Autonomic Service Access Management Suite, LS/ASAM, a comprehensive middleware solution enabling adaptive connectivity management of nomadic end hosts across heterogeneous access networks with autonomic optimisation of network performance and availability.
New computing systems are currently at crucial point in their evolution: autonomic systems (ASs), which are inspired by the human autonomic nervous system. Autonomic computing (AC) is characterized by self-* such as self-configuration, self-healing, self-optimization, self-protection and more which run simultaneously in ASs. Hence, self-* is a form of concurrent processing in ASs. Taking advantage of categorical structures we establish, in this paper, a firm formal basis for specifying concurrency of self-* in ASs.
A new computing paradigm is currently on spot: autonomic computing (AC), which is inspired by the human autonomic nervous system. AC is characterized by its self-* facets such as self-configuration, self-healing, self-optimization, and self-protection. The overarching goal of AC is to realize computer systems, and thus networked computing systems, that can manage themselves without direct human interventions. Meeting this grand challenge of autonomic computing requires a fundamental approach to the notion of self-*. To this end, taking advantage of the categorical approach we establish, in this chapter, a firm formal basis for modeling self-* in autonomic networked computing systems, developing self-* monoid, category of self-* monoids, and series of self-* facets. All of these are to achieve formal aspects of the self-*.