Journal ArticleDOI
The vision of autonomic computing
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TLDR
A 2001 IBM manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into corporate-wide computing systems that extend into the Internet.Abstract:
A 2001 IBM manifesto observed that a looming software complexity crisis -caused by applications and environments that number into the tens of millions of lines of code - threatened to halt progress in computing. The manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into corporate-wide computing systems that extend into the Internet. Autonomic computing, perhaps the most attractive approach to solving this problem, creates systems that can manage themselves when given high-level objectives from administrators. Systems manage themselves according to an administrator's goals. New components integrate as effortlessly as a new cell establishes itself in the human body. These ideas are not science fiction, but elements of the grand challenge to create self-managing computing systems.read more
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Journal ArticleDOI
Convolutional neural networks for crowd behaviour analysis: a survey
TL;DR: This survey presents detailed attributes of CNN with special emphasis on optimization methods that have been utilized in CNN-based methods, and introduces a taxonomy that summarizes important aspects of the CNN for approaching crowd behaviour analysis.
Journal ArticleDOI
SLA based resource allocation policies in autonomic environments
TL;DR: A resource allocation scheduler for such multi-tier autonomic environments so as to maximize the profits associated with multiple class SLAs and develops heuristic solutions by implementing a local-search algorithm.
Journal ArticleDOI
Self-adaptive workload classification and forecasting for proactive resource provisioning
TL;DR: This paper proposes a novel self‐adaptive approach that selects suitable forecasting methods for a given context based on a decision tree and direct feedback cycles together with a corresponding implementation and shows that the implementation of this approach provides continuous and reliable forecast results at run‐time.
Proceedings Article
A formal approach to autonomic systems programming: the SCEL language.
TL;DR: In this article, the authors introduce SCEL (Software Component Ensemble Language), a kernel language that takes a holistic approach to programming autonomic computing systems and aims at providing programmers with a complete set of linguistic abstractions for programming the behavior of autonomic components and the formation of autonomous components ensembles, and for controlling the interaction among different components.
Journal ArticleDOI
Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems
TL;DR: This work proposes a novel methodology which combines the benefits of self-taught learning and MAPE-K frameworks to deliver a scalable, self-adaptive, and autonomous misuse IDS, and demonstrates that the ADR of the IDS increases up to 73.37% in critical situations where a statically trained IDS is rendered totally ineffective.
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Proceedings ArticleDOI
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