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The proliferation of networked systems and services along with their exponential growth in complexity and size has increased the control and management complexity of such systems and services by several orders of magnitude. As a result, management tools have failed to cope with and handle the complexity, dynamism, and coordination among network attacks. In(More)
The increased complexity, heterogeneity and the dynamism of networked systems and services make current control and management tools to be ineffective in managing and securing such systems and services. A new paradigm to control and manage large-scale complex and dynamic networked systems is critically needed. In this paper, we present a new paradigm based(More)
The proliferations of Internet technologies, services and devices have made the current network system designs and management tools incapable of designing reliable, secure networked systems and services. The complexity of current systems had led researchers to consider alternative designs and management techniques that are based on strategies used by(More)
For adaptive distributed applications, the computational complexity associated with each computational region varies continuously and dramatically both in space and time throughout the life cycle of the application execution. Consequently, static scheduling techniques are inefficient for such applications. In this paper, we present an autonomic runtime(More)
In this paper, we present a policy-based approach to achieve self-deployment and self-configuration of pervasive systems and services. In our approach, we decompose applications into a set of interconnected components. With each component, we specify the autonomic attributes required to self-configure and self-manage the operations of the components in(More)