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...

Full description

Saved in:
Bibliographic Details
Main Authors: Thepparit Banditwattanawong, Masawee Masdisornchote, Putchong Uthayopas
Format: บทความวารสาร
Language:English
Published: Science Faculty of Chiang Mai University 2019
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7076
http://cmuir.cmu.ac.th/jspui/handle/6653943832/63786
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
Language: English
id th-cmuir.6653943832-63786
record_format dspace
spelling 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
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description 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
spellingShingle 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
_version_ 1681425959992950784