LTSS: Load-Adaptive Traffic Steering and Forwarding for Security Services in Multi-Tenant Cloud Datacenters

Xue Kai Du, Zhi Hui Lu, Qiang Duan, Jie Wu, Cheng Rong Wu

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Currently, different kinds of security devices are deployed in the cloud datacenter environment and tenants may choose their desired security services such as firewall and IDS (intrusion detection system). At the same time, tenants in cloud computing datacenters are dynamic and have different requirements. Therefore, security device deployment in cloud datacenters is very complex and may lead to inefficient resource utilization. In this paper, we study this problem in a software-defined network (SDN) based multi-tenant cloud datacenter environment. We propose a load-adaptive traffic steering and packet forwarding scheme called LTSS to solve the problem. Our scheme combines SDN controller with TagOper plug-in to determine the traffic paths with the minimum load for tenants and allows tenants to get their desired security services in SDN-based datacenter networks. We also build a prototype system for LTSS to verify its functionality and evaluate performance of our design.

Original languageEnglish (US)
Pages (from-to)1265-1278
Number of pages14
JournalJournal of Computer Science and Technology
Volume32
Issue number6
DOIs
StatePublished - Nov 1 2017

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Science Applications
  • Computational Theory and Mathematics

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