Title :
Runtime Infrastructure Optimisation in Cloud IaaS Structures
Author :
Chatziprimou, Kleopatra ; Lano, Kevin ; Zschaler, Steffen
Author_Institution :
Dept. of Inf., King´s Coll. London, London, UK
Abstract :
The requirement for elasticity involves the ability of cloud data centers to add or remove resources at a fine grain and with a lead time of seconds, closely matching resources to the actual demand conditions. Elasticity techniques can assist cloud stakeholders in regards to: (i) alleviating data center capital and operating costs, (ii) keeping cloud services continuously available, (iii) supporting market flexibility. To date, most infrastructure scaling methodologies can provide resource reconfiguration decisions to maintain quality properties under environment changes. However, issues related to the timeliness of reconfiguration decisions under dynamic changes are not adequately addressed. In this paper, we describe the PhD motivation, research questions and methodology towards developing cloud infrastructure and hosted services QoS optimisations under environment uncertainties.
Keywords :
cloud computing; computer centres; quality of service; virtual machines; QoS optimisation; cloud IaaS structures; cloud data centers; cloud infrastructure development; cloud services; cloud stakeholders; data center capital cost alleviation; data center operating cost alleviation; demand conditions; dynamic changes; elasticity techniques; infrastructure scaling methodologies; lead time; market flexibility; quality properties; reconfiguration decision timeliness; resource addition; resource reconfiguration; resource removal; runtime infrastructure optimisation; Approximation methods; Computer architecture; Energy consumption; Optimization; Runtime; Servers; Time factors; Cloud Computing; Elasticity; Infrastructure; Runtime;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
DOI :
10.1109/CloudCom.2013.112