A common approach to adding self-management capabilities to a system is to provide one or more external control modules, whose responsibility is to monitor system behavior, and adapt the system at run time to achieve various goals (configure the system, improve performance, recover from faults, etc.). An important problem arises when there is more than one such self-management module: how can one make sure that they are composed to provide consistent and complementary benefits? In this paper we describe a solution that introduces a self-management coordination architecture and infrastructure to support such composition. We focus on the problem of coordinating self-configuring and self-healing capabilities, particularly with respect to global configuration and incremental repair. We illustrate the approach in the context of a self-managing video teleconference system that composes two pre-existing adaptation modules to achieve synergistic benefits of both.
Related WorkRecently, considerable research has been done on selfmanaging systems, including work from IBM's autonomic computing initiative. An important challenge in their work
Abstract-A network that provides not only connectivity but also computational resources to application flows will enable a new array of network services. For example, applications that require content adaptation can be deployed more easily in a network that provides integrated communication and computational resources. In this paper, we study the problem of finding a path for a flow that has both computational and bandwidth constraints. We present a distributed load-sensitive routing algorithm that generates precomputed routing information and optimizes the routing decisions for both applications and computational and communication resource providers. We show through simulations that our distributed approach performs comparably to a centralized algorithm and is more resilient to longer routing update intervals.
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