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Input Shaping to Achieve Service Lev...

Turner, Andrew J.

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Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments./
Author:	Turner, Andrew J.
Description:	187 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.
Contained By:	Dissertation Abstracts International75-05B(E).
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3578656
ISBN:	9781303727085

Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments.
Turner, Andrew J.

Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments. - 187 p.

Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.

Thesis (Ph.D.)--Carnegie Mellon University, 2013.

In this thesis we propose a cloud Input Shaper and Dynamic Resource Controller to provide application-level quality of service guarantees in cloud computing environments. The Input Shaper splits the cloud into two areas: one for shaped traffic that achieves quality of service targets, and one for overflow traffic that may not achieve the targets. The Dynamic Resource Controller profiles customers' applications, then calculates and allocates the resources required by the applications to achieve given quality of service targets. The Input Shaper then shapes the rate of incoming requests to ensure that the applications achieve their quality of service targets based on the amount of allocated resources.

ISBN: 9781303727085Subjects--Topical Terms:

1669061
Engineering, Computer.

Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments.
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020 $a 9781303727085
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100 1 $a Turner, Andrew J. $3 2096255
245 1 0 $a Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments.
300 $a 187 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.
500 $a Adviser: Hyong S. Kim.
502 $a Thesis (Ph.D.)--Carnegie Mellon University, 2013.
520 $a In this thesis we propose a cloud Input Shaper and Dynamic Resource Controller to provide application-level quality of service guarantees in cloud computing environments. The Input Shaper splits the cloud into two areas: one for shaped traffic that achieves quality of service targets, and one for overflow traffic that may not achieve the targets. The Dynamic Resource Controller profiles customers' applications, then calculates and allocates the resources required by the applications to achieve given quality of service targets. The Input Shaper then shapes the rate of incoming requests to ensure that the applications achieve their quality of service targets based on the amount of allocated resources.
520 $a To evaluate our system we create a new benchmark application that is suitable for use in cloud computing environments. It is designed to reflect the current design of cloud based applications and can dynamically scale each application tier to handle large and varying workload levels. In addition, the client emulator that drives the benchmark also mimics realistic user behaviors such as browsing from multiple tabs, using JavaScript, and has variable thinking and typing speeds. We show that a cloud management system evaluated using previous benchmarks could violate its estimated quality of service achievement rate by over 20%.
520 $a The Input Shaper and Dynamic Resource Controller system consist of an application performance modeler, a resource allocator, decision engine, and an Apache HTTP server module to reshape the rate of incoming web requests. By dynamically allocating resources to applications, we show that their response times can be improved by as much as 30%. Also, the amount of resources required to host applications can be decreased by 20% while achieving quality of service objectives. The Input Shaper can reduce VMS' resource utilization variances by 88%, and reduce the number of servers by 45%.
590 $a School code: 0041.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Computer Science. $3 626642
690 $a 0464
690 $a 0984
710 2 $a Carnegie Mellon University. $3 1018096
773 0 $t Dissertation Abstracts International $g 75-05B(E).
790 $a 0041
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3578656