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Resource Management in Large-scale Systems

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Date Issued:
2015
Abstract/Description:
The focus of this thesis is resource management in large-scale systems. Our primary concerns are energy management and practical principles for self-organization and self-management. The main contributions of our work are:1. Models. We proposed several models for different aspects of resource management, e.g., energy-aware load balancing and application scaling for the cloud ecosystem, hierarchical architecture model for self-organizing and self-manageable systems and a new cloud delivery model based on auction-driven self-organization approach.2. Algorithms. We also proposed several different algorithms for the models described above. Algorithms such as coalition formation, combinatorial auctions and clustering algorithm for scale-free organizations of scale-free networks.3. Evaluation. Eventually we conducted different evaluations for the proposed models and algorithms in order to verify them. All the simulations reported in this thesis had been carried out on different instances and services of Amazon Web Services (AWS).All of these modules will be discussed in detail in the following chapters respectively.
Title: Resource Management in Large-scale Systems.
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Name(s): Paya, Ashkan, Author
Marinescu, Dan, Committee Chair
Wocjan, Pawel, Committee Member
Bassiouni, Mostafa, Committee Member
Mucciolo, Eduardo, Committee Member
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2015
Publisher: University of Central Florida
Language(s): English
Abstract/Description: The focus of this thesis is resource management in large-scale systems. Our primary concerns are energy management and practical principles for self-organization and self-management. The main contributions of our work are:1. Models. We proposed several models for different aspects of resource management, e.g., energy-aware load balancing and application scaling for the cloud ecosystem, hierarchical architecture model for self-organizing and self-manageable systems and a new cloud delivery model based on auction-driven self-organization approach.2. Algorithms. We also proposed several different algorithms for the models described above. Algorithms such as coalition formation, combinatorial auctions and clustering algorithm for scale-free organizations of scale-free networks.3. Evaluation. Eventually we conducted different evaluations for the proposed models and algorithms in order to verify them. All the simulations reported in this thesis had been carried out on different instances and services of Amazon Web Services (AWS).All of these modules will be discussed in detail in the following chapters respectively.
Identifier: CFE0005862 (IID), ucf:50913 (fedora)
Note(s): 2015-08-01
Ph.D.
Engineering and Computer Science, Computer Science
Doctoral
This record was generated from author submitted information.
Subject(s): Cloud Computing -- Large-scale Systems -- AWS -- Amazon Cloud -- Resource Management -- Hierarchical Systems -- Coalition Formation -- Combinatorial Auctions -- Scale-free Networks -- Self-organizaztion -- Self-management -- Energy Consumption -- Clustering
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0005862
Restrictions on Access: public 2015-08-15
Host Institution: UCF

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