Elastic Load Balancing for Dynamic Virtual Machine Reconfiguration Based on Vertical and Horizontal Scaling

Stelios Sotiriadis, Nik Bessis, Cristiana Amza, Rajkumar Buyya

Research output: Contribution to journalArticle

7 Citations (Scopus)
276 Downloads (Pure)

Abstract

Today, cloud computing applications are rapidly constructed by services belonging to different cloud providers and service owners. This work presents the inter-cloud elasticity framework, which focuses on cloud load balancing based on dynamic virtual machine reconfiguration when variations on load or on user requests volume are observed. We design a dynamic reconfiguration system, called inter-cloud load balancer (ICLB), that allows scaling up or down the virtual resources (thus providing automatized elasticity), by eliminating service downtimes and communication failures. It includes an inter-cloud load balancer for distributing incoming user HTTP traffic across multiple instances of inter-cloud applications and services and we perform dynamic reconfiguration of resources according to the real time requirements. The experimental analysis includes different topologies by showing how real-time traffic variation (using real world workloads) affects resource utilization and by achieving better resource usage in inter-cloud.
Original languageEnglish
Article number7762944
Pages (from-to)319-334
Number of pages16
JournalIEEE Transactions on Services Computing
Volume12
Issue number2
Early online date1 Dec 2016
DOIs
Publication statusPublished - 1 Mar 2019

Keywords

  • Cloud computing
  • cloud elasticity
  • horizontal scalability
  • vertical scalability
  • cloud load balancing

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