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Description
Title: | Modeling price and demand in cloud computing systems |
Author(s): | Schmid, Kevin Doherty |
Department / Program: | Electrical & Computer Eng |
Discipline: | Electrical & Computer Engr |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | M.S. |
Genre: | Thesis |
Subject(s): | cloud computing
demand model optimization sequential load auction |
Abstract: | The purpose of this thesis is to explore the behavior of pricing and demand within cloud computing systems. As cloud computing has become increasingly popular, research has been focused on finding a mechanism to optimize social welfare. Current schemes typically charge users at a fixed price per time unit. Theoretical research alternatives to this include combinatorial auctions. Analyses of these systems often utilize a simplistic model of a user. This thesis aims to introduce a more realistic user model and analyze optimization from the user's perspective in an environment similar to that of the Amazon EC2 spot instance market. It is shown that the optimal strategy of a user with a deadline and sequential load can be derived from a set of dynamic programming equations, the results of which can be implemented without knowledge of the current price. Additionally, it is shown that this strategy is closely approximated by an expected rate user model. Finally, it is shown that these types of users are elastic and the load on the system can be controlled through the price mechanism. |
Issue Date: | 2015-04-22 |
Type: | Thesis |
URI: | http://hdl.handle.net/2142/78408 |
Rights Information: | Copyright 2015 Kevin Doherty Schmid |
Date Available in IDEALS: | 2015-07-22 |
Date Deposited: | May 2015 |
This item appears in the following Collection(s)
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Dissertations and Theses - Electrical and Computer Engineering
Dissertations and Theses in Electrical and Computer Engineering -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois