Throughput maximization for online request admissions in mobile cloudlets

Qiufen Xia; Weifa Liang; Wenzheng Xu

doi:10.1109/LCN.2013.6761295

Throughput maximization for online request admissions in mobile cloudlets

Qiufen Xia
, Weifa Liang
, Wenzheng Xu

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

70 Citations (Scopus)

Abstract

In mobile cloud computing (MCC) paradigm, cloud service providers not only offer powerful cloud data centers but also provide small-scale cloudlets in some strategic locations for mobile users to access their rich resources. Due to the flexibility and locality of cloudlets, most requests of mobile users can be processed locally. However, the cloudlets usually have limited resources and processing abilities, which implies that they may not be capable to process every incoming request. Instead, some resource-intensive requests need to be sent to remote data centers for processing and such a processing is transparent to users. In this paper, we address the online request admission issue in a cloudlet with an objective to maximize the system throughput, for which we first propose a novel admission cost model to model critical resource consumptions. We then devise efficient control algorithms for online request admissions. We finally conduct experiments by simulations to evaluate the performance of the proposed algorithms. Experimental results indicate that the proposed algorithms are promising and outperform other heuristics. © 2013 IEEE.

Original language	English
Title of host publication	Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, LCN 2013
Publisher	IEEE Computer Society
Pages	589-596
ISBN (Print)	9781479905379
DOIs	https://doi.org/10.1109/LCN.2013.6761295
Publication status	Published - 2013
Externally published	Yes
Event	38th Annual IEEE Conference on Local Computer Networks, LCN 2013 - Sydney, NSW, Australia Duration: 21 Oct 2013 → 24 Oct 2013

Publication series

Name	Proceedings - Conference on Local Computer Networks, LCN

Conference

Conference	38th Annual IEEE Conference on Local Computer Networks, LCN 2013
Place	Australia
City	Sydney, NSW
Period	21/10/13 → 24/10/13

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/LCN.2013.6761295

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Cite this

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title = "Throughput maximization for online request admissions in mobile cloudlets",

abstract = "In mobile cloud computing (MCC) paradigm, cloud service providers not only offer powerful cloud data centers but also provide small-scale cloudlets in some strategic locations for mobile users to access their rich resources. Due to the flexibility and locality of cloudlets, most requests of mobile users can be processed locally. However, the cloudlets usually have limited resources and processing abilities, which implies that they may not be capable to process every incoming request. Instead, some resource-intensive requests need to be sent to remote data centers for processing and such a processing is transparent to users. In this paper, we address the online request admission issue in a cloudlet with an objective to maximize the system throughput, for which we first propose a novel admission cost model to model critical resource consumptions. We then devise efficient control algorithms for online request admissions. We finally conduct experiments by simulations to evaluate the performance of the proposed algorithms. Experimental results indicate that the proposed algorithms are promising and outperform other heuristics. {\textcopyright} 2013 IEEE.",

author = "Qiufen Xia and Weifa Liang and Wenzheng Xu",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected]. ; 38th Annual IEEE Conference on Local Computer Networks, LCN 2013 ; Conference date: 21-10-2013 Through 24-10-2013",

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language = "English",

isbn = "9781479905379",

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Xia, Q, Liang, W & Xu, W 2013, Throughput maximization for online request admissions in mobile cloudlets. in Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, LCN 2013., 6761295, Proceedings - Conference on Local Computer Networks, LCN, IEEE Computer Society, pp. 589-596, 38th Annual IEEE Conference on Local Computer Networks, LCN 2013, Sydney, NSW, Australia, 21/10/13. https://doi.org/10.1109/LCN.2013.6761295

Throughput maximization for online request admissions in mobile cloudlets. / Xia, Qiufen; Liang, Weifa; Xu, Wenzheng.
Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, LCN 2013. IEEE Computer Society, 2013. p. 589-596 6761295 (Proceedings - Conference on Local Computer Networks, LCN).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2013

Y1 - 2013

N2 - In mobile cloud computing (MCC) paradigm, cloud service providers not only offer powerful cloud data centers but also provide small-scale cloudlets in some strategic locations for mobile users to access their rich resources. Due to the flexibility and locality of cloudlets, most requests of mobile users can be processed locally. However, the cloudlets usually have limited resources and processing abilities, which implies that they may not be capable to process every incoming request. Instead, some resource-intensive requests need to be sent to remote data centers for processing and such a processing is transparent to users. In this paper, we address the online request admission issue in a cloudlet with an objective to maximize the system throughput, for which we first propose a novel admission cost model to model critical resource consumptions. We then devise efficient control algorithms for online request admissions. We finally conduct experiments by simulations to evaluate the performance of the proposed algorithms. Experimental results indicate that the proposed algorithms are promising and outperform other heuristics. © 2013 IEEE.

AB - In mobile cloud computing (MCC) paradigm, cloud service providers not only offer powerful cloud data centers but also provide small-scale cloudlets in some strategic locations for mobile users to access their rich resources. Due to the flexibility and locality of cloudlets, most requests of mobile users can be processed locally. However, the cloudlets usually have limited resources and processing abilities, which implies that they may not be capable to process every incoming request. Instead, some resource-intensive requests need to be sent to remote data centers for processing and such a processing is transparent to users. In this paper, we address the online request admission issue in a cloudlet with an objective to maximize the system throughput, for which we first propose a novel admission cost model to model critical resource consumptions. We then devise efficient control algorithms for online request admissions. We finally conduct experiments by simulations to evaluate the performance of the proposed algorithms. Experimental results indicate that the proposed algorithms are promising and outperform other heuristics. © 2013 IEEE.

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ER -

Throughput maximization for online request admissions in mobile cloudlets

Abstract

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Conference

Bibliographical note

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