Skip to main content
Duke University Libraries
DukeSpace Scholarship by Duke Authors
  • Login
  • Ask
  • Menu
  • Login
  • Ask a Librarian
  • Search & Find
  • Using the Library
  • Research Support
  • Course Support
  • Libraries
  • About
View Item 
  •   DukeSpace
  • Theses and Dissertations
  • Duke Dissertations
  • View Item
  •   DukeSpace
  • Theses and Dissertations
  • Duke Dissertations
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Towards Systematic and Accurate Environment Selection for Emerging Cloud Applications

Thumbnail
View / Download
1.1 Mb
Date
2012
Author
Li, Ang
Advisor
Yang, Xiaowei
Repository Usage Stats
355
views
680
downloads
Abstract

As cloud computing is gaining popularity, many application owners are migrating their

applications into the cloud. However, because of the diversity of the cloud environments

and the complexity of the modern applications, it is very challenging to find out which

cloud environment is best fitted for one's application.

In this dissertation, we design and build systems to help application owners select the

most suitable cloud environments for their applications. The first part of this thesis focuses

on how to compare the general fitness of the cloud environments. We present CloudCmp,

a novel comparator of public cloud providers. CloudCmp measures the elastic computing,

persistent storage, and networking services offered by a cloud along metrics that directly

reflect their impact on the performance of customer applications. CloudCmp strives to

ensure fairness, representativeness, and compliance of these measurements while limiting

measurement cost. Applying CloudCmp to four cloud providers that together account

for most of the cloud customers today, we find that their offered services vary widely in

performance and costs, underscoring the need for thoughtful cloud environment selection.

From case studies on three representative cloud applications, we show that CloudCmp can

guide customers in selecting the best-performing provider for their applications.

The second part focuses on how to let customers compare cloud environments in the

context of their own applications. We describe CloudProphet, a novel system that can

accurately estimate an application's performance inside a candidate cloud environment

without the need of migration. CloudProphet generates highly portable shadow programs

to mimic the behavior of a real application, and deploys them inside the cloud to estimate

the application's performance. We use the trace-and-replay technique to automatically

generate high-fidelity shadows, and leverage the popular dispatcher-worker pattern

to accurately extract and enforce the inter-component dependencies. Our evaluation in

three popular cloud platforms shows that CloudProphet can help customers pick the bestperforming

cloud environment, and can also accurately estimate the performance of a

variety of applications.

Type
Dissertation
Department
Computer Science
Subject
Computer science
Cloud computing
Cost analysis
Distributed system
Performance prediction
Permalink
https://hdl.handle.net/10161/5814
Citation
Li, Ang (2012). Towards Systematic and Accurate Environment Selection for Emerging Cloud Applications. Dissertation, Duke University. Retrieved from https://hdl.handle.net/10161/5814.
Collections
  • Duke Dissertations
More Info
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.

Rights for Collection: Duke Dissertations


Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info

Make Your Work Available Here

How to Deposit

Browse

All of DukeSpaceCommunities & CollectionsAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit DateThis CollectionAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit Date

My Account

LoginRegister

Statistics

View Usage Statistics
Duke University Libraries

Contact Us

411 Chapel Drive
Durham, NC 27708
(919) 660-5870
Perkins Library Service Desk

Digital Repositories at Duke

  • Report a problem with the repositories
  • About digital repositories at Duke
  • Accessibility Policy
  • Deaccession and DMCA Takedown Policy

TwitterFacebookYouTubeFlickrInstagramBlogs

Sign Up for Our Newsletter
  • Re-use & Attribution / Privacy
  • Harmful Language Statement
  • Support the Libraries
Duke University