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Authors: Mehdi Sheikhalishahi and Lucio Grandinetti

Affiliation: University of Calabria, Italy

Keyword(s): Green Computing, Resource Management, Performance, Computing Paradigms, Scheduling, Technologies, Resource Contention.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Architecture ; Cloud Computing Enabling Technology ; Cloud Standards ; Fundamentals ; Monitoring of Services, Quality of Service, Service Level Agreements ; Virtualization Technologies

Abstract: With the explosive growth of Internet-enabled cloud computing and HPC centers of all types, IT’s energy consumption and sustainability impact are expected to continue climbing well into the future. Green IT recognizes this problem and efforts are under way in both industry and academia to address it. In this paper, we take into account green and performance aspects of resource management. Components of resource management system are explored in detail to seek new developments by exploiting contemporary emerging technologies, computing paradigms, energy efficient operations, etc. to define, design and develop new metrics, techniques, mechanisms, models, policies, and algorithms. In addition, modeling relationships within and between various layers are considered to present some novel approaches.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Sheikhalishahi, M. and Grandinetti, L. (2012). REVISING RESOURCE MANAGEMENT AND SCHEDULING SYSTEMS. In Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-8565-05-1; ISSN 2184-5042, SciTePress, pages 121-126. DOI: 10.5220/0003955401210126

@conference{closer12,
author={Mehdi Sheikhalishahi. and Lucio Grandinetti.},
title={REVISING RESOURCE MANAGEMENT AND SCHEDULING SYSTEMS},
booktitle={Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER},
year={2012},
pages={121-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003955401210126},
isbn={978-989-8565-05-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER
TI - REVISING RESOURCE MANAGEMENT AND SCHEDULING SYSTEMS
SN - 978-989-8565-05-1
IS - 2184-5042
AU - Sheikhalishahi, M.
AU - Grandinetti, L.
PY - 2012
SP - 121
EP - 126
DO - 10.5220/0003955401210126
PB - SciTePress