Resource allocation and revenue optimization for cloud service providers

NCUIR > School of Management at National Central University > Department of Information Management > journal & Dissertation > Item 987654321/106986

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106986

Title:	Resource allocation and revenue optimization for cloud service providers
Authors:	張李治華;Jhang-Li, Jhih-Hua;Chiang, I. Robert
Contributors:	管理學院資訊管理學系
Keywords:	Advertisements;Advertising;Cloud computing;Cloud service provider;Decision support systems;Personalization;Priority queues;Profitability;Quality;Rendering;Resource allocation;Revenues;Streaming media;Studies;Subscriptions;Versioning
Date:	2015-06-13
Issue Date:	2026-04-23 13:51:48 (UTC+8)
Publisher:	Elsevier;Amsterdam: Elsevier B.V
Abstract:	摘要： Online storage and streaming services are surpassing physical media as the predominate means of disseminating and sharing digital contents such as music, documents, photos, and videos. In addition, many software vendors are switching from on-premises installations to web-based rendering for their offerings. Differentiated pricing, based on tiered service responsiveness and advertisement displays, has been widely adopted by cloud service providers to optimize resource utilization and improve profitability under heterogeneous user demands. We analyze the impact of resource allocation and advertising decisions on provider profit and social welfare when separating premium subscription from more basic offerings. By considering queuing delays and advertising revenues, we suggest conditions under which the service provider should invest in service quality to grow the subscription base, which in turn helps attract more advertisers. We also assess the impact of advertising technology that lessens the users' disutility toward advertisements and increases the likelihood of ads click-through. Finally, we point out when offering free services could be more profitable than charging a subscription fee. •We help content and storage service providers balance their investments in service infrastructure and ads rendering technology.•We show how queueing disciplines can help providers better control service quality.•We optimize service versioning for customers self-select into suitable offerings.•We explain why over-investment in service quality may not attract a desirable customer mix.•We derive conditions under which offering free service or inducements could be preferred over charging subscriptions. 出版者： Amsterdam: Elsevier B.V 出版日期： 2015-09-01 出處： Decision Support Systems, 2015-09, Vol.77, p.55-66 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2015 Elsevier B.V. 版權： Copyright Elsevier Sequoia S.A. Sep 2015 識別號： ISSN: 0167-9236 識別號： EISSN: 1873-5797 識別號： DOI: 10.1016/j.dss.2015.04.008 識別號： CODEN: DSSYDK
Appears in Collections:	[資訊管理學系] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	10	View/Open

社群 sharing

Loading...