Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization
Hybrid cloud computing gains interest from communities as it supports risk mitigation, business partnership, quality-of-service (QoS) improvement and accesses to uniquely-offered services. Since the providers of a hybrid cloud potentially offer different QoS levels, this sets the new cond...
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Science Faculty of Chiang Mai University
2019
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Online Access: | http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7076 http://cmuir.cmu.ac.th/jspui/handle/6653943832/63786 |
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th-cmuir.6653943832-637862019-05-07T09:57:18Z Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization Thepparit Banditwattanawong Masawee Masdisornchote Putchong Uthayopas Hybrid cloud computing gains interest from communities as it supports risk mitigation, business partnership, quality-of-service (QoS) improvement and accesses to uniquely-offered services. Since the providers of a hybrid cloud potentially offer different QoS levels, this sets the new condition of cloud data transfer optimization to reduce public cloud data-out expenses, to improve cloud network scalability and to lower cloud service access latencies. This paper presents an intelligent cloud cache replacement policy, i-Cloud, as the core mechanism of client-side shared cloud cache. Trace-driven simulations have showed that i-Cloud is capable of addressing nonuniform QoS levels by delivering stable performances that outperformed three well-known cache replacement policies in all studied performance metrics against all experimented workloads. The results have also indicated that taking data-out charge rate nonuniformity into cache replacement decisions improved caching performances in all metrics. Furthermore, i-Cloud not only attained optimal efficiencies in all of the performance metrics simultaneously but also performed well for longer runs than its training durations. 2019-05-07T09:57:18Z 2019-05-07T09:57:18Z 2016 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7076 http://cmuir.cmu.ac.th/jspui/handle/6653943832/63786 Eng Science Faculty of Chiang Mai University |
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Hybrid cloud computing gains interest from communities as it supports risk mitigation, business partnership, quality-of-service (QoS) improvement and accesses to uniquely-offered services. Since the providers of a hybrid cloud potentially offer different QoS levels, this sets the new condition of cloud data transfer optimization to reduce public cloud data-out expenses, to improve cloud network scalability and to lower cloud service access latencies. This paper presents an intelligent cloud cache replacement policy, i-Cloud, as the core mechanism of client-side shared cloud cache. Trace-driven simulations have showed that i-Cloud is capable of addressing nonuniform QoS levels by delivering stable performances that outperformed three well-known cache replacement policies in all studied performance metrics against all experimented workloads. The results have also indicated that taking data-out charge rate nonuniformity into cache replacement decisions improved caching performances in all metrics. Furthermore, i-Cloud not only attained optimal efficiencies in all of the performance metrics simultaneously but also performed well for longer runs than its training durations. |
format |
บทความวารสาร |
author |
Thepparit Banditwattanawong Masawee Masdisornchote Putchong Uthayopas |
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Thepparit Banditwattanawong Masawee Masdisornchote Putchong Uthayopas Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization |
author_facet |
Thepparit Banditwattanawong Masawee Masdisornchote Putchong Uthayopas |
author_sort |
Thepparit Banditwattanawong |
title |
Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization |
title_short |
Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization |
title_full |
Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization |
title_fullStr |
Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization |
title_full_unstemmed |
Hybrid Cloud Computing: Economy, Scalability and Responsiveness Optimization |
title_sort |
hybrid cloud computing: economy, scalability and responsiveness optimization |
publisher |
Science Faculty of Chiang Mai University |
publishDate |
2019 |
url |
http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7076 http://cmuir.cmu.ac.th/jspui/handle/6653943832/63786 |
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1681425959992950784 |