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ThinkMind // FUTURE COMPUTING 2015, The Seventh International Conference on Future Computational Technologies and Applications // View article future_computing_2015_3_10_30022
An Approach to Model Resources Rationalisation in Hybrid Clouds through Users Activity Characterisation
 Authors:
Giovanni Battista Barone
Vania Boccia
Davide Bottalico
Rosanna Campagna
Luisa Carracciuolo
Giuliano Laccetti Keywords: Adaptive scheduling and resources management; Virtualisation and Cloud computing; large scale and distributed systems; data analysis. Abstract:
In recent years, some strategies (e.g., server consolidation by means of virtualisation techniques) helped the managers of large Information Technology (IT) infrastructures to limit, when possible, the use of hardware resources in order to provide reliable services and to reduce the Total Cost of Ownership (TCO) of such infrastructures. Moreover, with the advent of Cloud computing, a resource usage rationalisation can be pursued also for the users applications, if this is compatible with the Quality of Service (QoS) which must be guaranteed. In this perspective, modern datacenters are “elastic”, i.e., able to shrink or enlarge the number of local physical or virtual resources from private/public Clouds. Moreover, many of large computing environments are integrated in distributed computing environment as the grid and cloud infrastructures. In this document, we report some advances in the realisation of a utility, we named Adaptive Scheduling Controller (ASC) which, interacting with the datacenter resource manager, allows an effective and efficient usage of resources, also by means of users jobs classification. Here, we focus both on some data mining algorithms which allows to classify the users activity and on the mathematical formalisation of the functional used by ASC to find the most suitable configuration for the datacenter’s resource manager. The presented case study concerns the SCoPE infrastructure, which has a twofold role: local computing resources provider for the University of Naples Federico II and remote resources provider for both the Italian Grid Infrastructure (IGI) and the European Grid Infrastructure (EGI) Federated Cloud. Pages: 48 to 53 Copyright: Copyright (c) IARIA, 2015 Publication date: March 22, 2015 Published in: conference ISSN: 2308-3735 ISBN: 978-1-61208-389-6 Location: Nice, France Dates: from March 22, 2015 to March 27, 2015
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