The Vision of Autonomic Computing. Presented by: Ehsan Kouroshfar. Outline. Introduction Self-management Architectural Considerations Engineering challenges Scientific challenges Discussion. Introduction.
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The service provider’s autonomic manager oversees the operation of its managed element, monitoring it to ensure that the agreement is being honored; the service requester might similarly monitor the level of service.
If the agreement is violated, one or both elements would seek an appropriate remedy
Freeing the internal resources for other uses
Record pertinent information about service relationship locally or in a database for reputation of elements
The autonomic systems infrastructure must let autonomic elements identify themselves, verify the identities of other entities with which they communicate, verify that a message has not been altered in transit, and ensure that unauthorized parties do not read messages and other data.
At larger scale autonomic elements will be agents . Autonomic systems will be inhabited by middle agents that serve various types including directory services, matchmakers, brokers, auctioneers, security analysts and …
Defining appropriate models for understanding, controlling, and designing emergent behavior in autonomic systems is a challenge
Understanding the mapping from local behavior to global behavior and vice versa
How can we derive a set of behavioral and interaction rules that, if embedded in individual autonomic elements, will induce a desired global behavior?
A related challenge is to develop a theory of robustness for autonomic systems, including definitions and analyses of robustness, diversity, redundancy, and optimality and their relationship to one another.
The paper has more than 2000 citation according to Google scholar
the study of autonomic systems has become a significant component of systems research, with its own dedicated journals, conferences, and IEEE Computer Society technical committee (TCAAS), as well as a substantial presence in mainstream computing and networking venues.
In 2001, IBM researchers predicted that by the end of the decade the IT industry would need up to 200 million workers, equivalent to the entire US labor force, to manage a billion people and millions of businesses using a trillion devices connected via the internet.
We have reached 2010, and, the situation clearly is not as extreme as anticipated. Now that there are approximately 260,000 IT workers in the US, with employment in the industry
Consolidation of computing power, which will increase alongside the use of cloud computing and Web 2.0, reduces the amount of management per unit of service.
Efforts since 2001 to design self-managing systems have yielded many impressive achievements, yet the original vision of autonomic computing remains unfulfilled.
This was not indeed ’hype’ and that, though it draws on much work already carried out by the Computer Science and Control communities, its innovation is strong and lies in its robust application to the specific self-management of computing systems.