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Performance Improvement of IaaS Type of Cloud Computing Using Virtualization Technique

Dawit Zeleke Admassu

TL;DR

This paper addresses performance bottlenecks in IaaS caused by virtualization overhead and underutilized resources. It employs a systematic literature review followed by a design–development–evaluation workflow to compare full virtualization, paravirtualization, and hardware-assisted virtualization across hypervisors like Xen, KVM, and VMware ESXi, with open-source platforms such as OpenStack and CloudStack. A proposed virtualization technique aims to boost resource utilization, reduce latency, and improve throughput, with an evaluation plan using modeling tools and prototypes, including an optional public-cloud design for Ethiopian SMEs on Amazon EC2. The work highlights the practical impact of optimized virtualization for cost-effective, scalable IaaS—particularly in developing economies—while outlining future directions in automated optimization, security, and multi-cloud scalability.

Abstract

Cloud computing has transformed the way organizations manage and scale their IT infrastructure by offering flexible, scalable, and cost-effective solutions. However, the Infrastructure as a Service (IaaS) model faces performance challenges primarily due to the limitations imposed by virtualization technology. This paper focuses on designing an effective virtualization technique for IaaS, aiming to improve infrastructure-level performance. Through a systematic literature review and a design, development, and evaluation approach, various virtualization techniques such as full virtualization, paravirtualization, and hardware-assisted virtualization are explored. The study also considers the role of hypervisors like Xen, KVM, and VMware ESXi in improving performance. The proposed solution seeks to optimize resource utilization, minimize latency, and enhance overall throughput in IaaS environments. Finally, the research discusses the potential application of this virtualization technique for public cloud computing solutions tailored for Ethiopian Small and Medium Enterprises (ESMEs) using platforms like Amazon EC2.

Performance Improvement of IaaS Type of Cloud Computing Using Virtualization Technique

TL;DR

This paper addresses performance bottlenecks in IaaS caused by virtualization overhead and underutilized resources. It employs a systematic literature review followed by a design–development–evaluation workflow to compare full virtualization, paravirtualization, and hardware-assisted virtualization across hypervisors like Xen, KVM, and VMware ESXi, with open-source platforms such as OpenStack and CloudStack. A proposed virtualization technique aims to boost resource utilization, reduce latency, and improve throughput, with an evaluation plan using modeling tools and prototypes, including an optional public-cloud design for Ethiopian SMEs on Amazon EC2. The work highlights the practical impact of optimized virtualization for cost-effective, scalable IaaS—particularly in developing economies—while outlining future directions in automated optimization, security, and multi-cloud scalability.

Abstract

Cloud computing has transformed the way organizations manage and scale their IT infrastructure by offering flexible, scalable, and cost-effective solutions. However, the Infrastructure as a Service (IaaS) model faces performance challenges primarily due to the limitations imposed by virtualization technology. This paper focuses on designing an effective virtualization technique for IaaS, aiming to improve infrastructure-level performance. Through a systematic literature review and a design, development, and evaluation approach, various virtualization techniques such as full virtualization, paravirtualization, and hardware-assisted virtualization are explored. The study also considers the role of hypervisors like Xen, KVM, and VMware ESXi in improving performance. The proposed solution seeks to optimize resource utilization, minimize latency, and enhance overall throughput in IaaS environments. Finally, the research discusses the potential application of this virtualization technique for public cloud computing solutions tailored for Ethiopian Small and Medium Enterprises (ESMEs) using platforms like Amazon EC2.
Paper Structure (19 sections, 3 figures)

This paper contains 19 sections, 3 figures.

Table of Contents

  1. KEYWORDS
  2. INTRODUCTION
  3. Private Cloud: Often referred to as an internal
  4. PROBLEM STATEMENT
  5. RESEARCH OBJECTIVES
  6. GENERAL OBJECTIVE:
  7. SPECIFIC OBJECTIVES:
  8. Pervis$\bullet$ ors
  9. Effective, scalable, and high-performance cloud services to
  10. SCOPE
  11. METHODOLOGIES Systematic Literature Review (SLR :
  12. EXPECTED RESULTS
  13. Increased Resource Utilization:
  14. Reduced Latency:
  15. Enhanced Scalability:
  16. ...and 4 more sections

Figures (3)

  • Figure 1: 1.
  • Figure 2: 2. Illustration of the IaaS model highlighting the infrastructure's relationship with data centers, servers, and cloud services.
  • Figure 3: 3. Estimated Performance Improvements in IaaS Cloud Computing Using Different Virtualization Techniques.PrototypingandDocumentation: