@inproceedings{29fa5e89a9284eb1a7d5a38ad28edd19,
title = "CloudLightning: A self-organized self-managed heterogeneous cloud",
abstract = "The increasing heterogeneity of cloud resources, and the increasing diversity of services being deployed in cloud environments are leading to significant increases in the complexities of cloud resource management. This paper presents an architecture to manage heterogeneous resources and to improve service delivery in cloud environments. A loosely-coupled, hierarchical, self-adapting management model, deployed across multiple layers, is used for heterogeneous resource management. Moreover, a service-specific coalition formation mechanism is employed to identify appropriate resources to support the process parallelism associated with high performance services. Finally, a proof-of-concept of the proposed hierarchical cloud architecture, as realized in CloudLightning project, is presented.",
keywords = "Hierarchical architecture, cloud computing, coalition formation, heterogeneity, resource management",
author = "Huanhuan Xiong and Dapeng Dong and Christos Filelis-Papadopoulos and Castane, {Gabriel G.} and Theo Lynn and Marinescu, {Dan C.} and Morrison, {John P.}",
note = "Publisher Copyright: {\textcopyright} 2017 PTI.; 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 ; Conference date: 03-09-2017 Through 06-09-2017",
year = "2017",
month = nov,
day = "10",
doi = "10.15439/2017F274",
language = "English",
series = "Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "749--758",
editor = "Maria Ganzha and Leszek Maciaszek and Marcin Paprzycki",
booktitle = "Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017",
}