NDLI: Competitive Strategies for Online Cloud Resource Allocation with Discounts: The 2-Dimensional Parking Permit Problem

Content Provider	IEEE Xplore Digital Library
Author	Xinhui Hu Ludwig, A. Richa, A. Schmid, S.
Copyright Year	2015
Description	Author affiliation: Comput. Sci., Arizona State Univ., Tempe, AZ, USA (Xinhui Hu; Richa, A.) \|\| Tech. Univ. Berlin, Berlin, Germany (Ludwig, A.; Schmid, S.)
Abstract	Cloud computing heralded an era where resources can be scaled up and down elastically and in an online manner. This paper initiates the study of cost-effective cloud resource allocation algorithms under price discounts, using a competitive analysis approach. We show that for a single resource, the online resource renting problem can be seen as a 2-dimensional variant of the classic online parking permit problem, and we formally introduce the $PPP^{2}$ problem accordingly. Our main contribution is an online algorithm for $PPP^{2}$ which achieves a deterministic competitive ratio of k (under a certain set of assumptions), where k is the number of resource bundles. This is almost optimal, as we also prove a lower bound of k/3 for any deterministic online algorithm. Our online algorithm makes use of an optimal offline algorithm, which may be of independent interest since it is the first optimal offline algorithm for the 1D and 2D versions of the parking permit problem. Finally, we show that our algorithms and results also generalize to multiple resources (i.e., Multi-dimensional parking permit problems).
Starting Page	93
Ending Page	102
File Size	323609
Page Count	10
File Format	PDF
ISBN	9781467372145
ISSN	10636927
DOI	10.1109/ICDCS.2015.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Contracts Algorithm design and analysis Resource management Heuristic algorithms Upper bound Online Algorithm Cloud Computing Resource Allocation Competitive Analysis
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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