Special Issue on Autonomic Clouds

  title={Special Issue on Autonomic Clouds},
  author={Javier Diaz Montes and Ioan Petri and Omer Farooq Rana and M. Parashar},
  journal={IEEE Cloud Comput.},
Cloud computing continues to grow in complexity due to both the increasing availability of configuration options from public cloud providers and the increasing variability and types of application instances that can be deployed on such platforms. This complexity is also evident in the enterprise-scale datacenters that dominate computing infrastructures in industry, leading to complex business applications and workflows. Autonomic computing enables self-management of systems and applications… 

Analyzing CSP Trustworthiness and Predicting Cloud Service Performance

  • R. Maeser
  • Computer Science
    IEEE Open Journal of the Computer Society
  • 2020
The research in this paper and proposed solution calculates cloud service provider (CSP) trustworthiness levels and predicts cloud service and cloud service level agreement (SLA) availability performance and CSP trustworthiness.



Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering

Three hybrid HPC/grid and cloud cyber infrastructure usage modes are explored: HPC in the Cloud, HPC plus Cloud, and HPC as a Service, presenting illustrative scenarios in each case and outlining benefits, limitations, and research challenges.

Self-adaptive Architectures for Autonomic Computational Science

This work uses two existing applications - Ensemble Kalman Filtering and Coupled Fusion Simulation - to describe a conceptual framework for ACS, consisting of mechanisms, strategies and objectives, and demonstrates how these concepts can be used to more effectively realize pre-defined application objectives.

and O

  • Rana, “Self-Adaptive Architectures for Autonomic Computational Science,” Self-Organizing Architectures, LNCS 6090, Springer,
  • 2010