Load-balanced cloud service interface for the HiBA mobile cloud environment

Lin, Tzu-Chao; Pai, Mao-Yuan; Chen, Chao‐Lieh; Chen, Chao‐Chun

doi:10.1109/icce-tw.2015.7216943

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…They proposed a load balancer as a service in cloud computing. Tzu‐Chao Lin et al designed an efficient load balancing policy to meet the requirement of the users in the hierarchical brokering architecture mobile cloud.…”

Section: Related Workmentioning

confidence: 99%

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Energy‐aware cross‐layer resource allocation in mobile cloud

Liu

Luo

2017

Int J Communication

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Summary This paper proposed an energy‐aware cross‐layer mobile cloud resource allocation approach. In this paper, a hybrid cloud architecture is adopted for provisioning mobile service to mobile device users, which include nearby local cloud and remote public cloud. The computation‐intensive tasks can be processed by the remote public cloud, while the delay‐sensitive computation can be processed by the nearby local cloud. On the basis of the system context and mobile user preferences, the energy‐aware cross‐layer mobile cloud resource allocation approach can optimize the consumption of cloud resource and system performance. The cooperation and collaboration among local cloud agent, public cloud supplier, and mobile cloud user are regulated through the economic approach. The energy‐aware cross‐layer mobile cloud resource allocation is performed on the local cloud level and the public cloud level, which comprehensively considers the benefits of all participants. The energy‐aware cross‐layer mobile cloud resource allocation algorithm is proposed, which is evaluated in the experiment environment, and comparison results and analysis are discussed.

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Section: Related Workmentioning

confidence: 99%

“…They proposed a load balancer as a service in cloud computing. Tzu-Chao Lin et al 12 designed an efficient load balancing policy to meet the requirement of the users in the hierarchical brokering architecture mobile cloud. M Nir et al 13 propose an energy-optimizing scheduler for mobile cloud computing environments (MC_EOS).…”

Section: Related Workmentioning

confidence: 99%

Energy‐aware cross‐layer resource allocation in mobile cloud

Liu

Luo

2017

Int J Communication

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“…A series of contributions adopting MDC2 for improving load balance [7], user-centric security [8], access control [9] in the cloud as well as MDC2 applications of real-time seamless video sharing [8], and sociological ontology-based hybrid recommendation [10] were proposed. In these contributions, we see that MDC2 is a feasible solution to provide services in UCN.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Brokering with Feedback Control Framework in Mobile Device-Centric Clouds

Chen

Chen²

2016

Mobile Information Systems

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We propose a hierarchical brokering architecture (HiBA) and Mobile Multicloud Networking (MMCN) feedback control framework for mobile device-centric cloud (MDC2) computing. Exploiting the MMCN framework and RESTful web-based interconnection, each tier broker probes resource state of its federation for control and management. Real-time and seamless services were developed. Case studies including intrafederation energy-aware balancing based on fuzzy feedback control and higher tier load balancing are further demonstrated to show how HiBA with MMCN relieves the embedding of algorithms when developing services. Theoretical performance model and real-world experiments both show that an MDC2 based on HiBA features better quality in terms of resource availability and network latency if it federates devices with enough resources distributed in lower tier hierarchy. The proposed HiBA realizes a development platform for MDC2 computing which is a feasible solution to User-Centric Networks (UCNs).

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Load-Balancing Based Cross-Layer Elastic Resource Allocation in Mobile Cloud

2017

Wireless Pers Commun

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Load-balanced cloud service interface for the HiBA mobile cloud environment

Cited by 4 publications

References 4 publications

Energy‐aware cross‐layer resource allocation in mobile cloud

Energy‐aware cross‐layer resource allocation in mobile cloud

Hierarchical Brokering with Feedback Control Framework in Mobile Device-Centric Clouds

Load-Balancing Based Cross-Layer Elastic Resource Allocation in Mobile Cloud

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