Dynamic provisioning in virtualized Cloud infrastructure in IP/MPLS-over-WDM networks

Mohammad Alhowaidi, Pan Yi, Byrav Ramamurthy
January 2017
Cite DOI URL

Abstract

Reliance on cloud computing infrastructure has increased rapidly worldwide, and increasing amount of resources are provided to users by the cloud providers. User demand provisioning is an important issue for the cloud provider as the number of demands increases while the resources on the data center (DC) and the available bandwidth between DCs remain limited. The provisioning problem has serious implications in real-time scenarios, where the number of demands for the requested service is not known in advance. In this paper, we consider dynamic provisioning of the cloud resources including bandwidth scheduling for user demands where the requested DC resources (e.g. CPUs, storage and network ports) and bandwidth are not known in advance. We assume that the DCs are connected using IP/MPLS-over-WDM networks, which support grooming of the bandwidth from different demands where possible. Increasing the number of demands accepted while reducing the cost is important for providers. We propose and study the effects, of two greedy approaches to solve this problem, on the blocking probability and the total cost, which includes the operating expenditure (OpEx) and capital expenditure (CapEx).

Type
Conference paper
Publication
2017 International Conference on Computing, Networking and Communications (ICNC)
Wavelength Division Multiplexing Blocking Probability Optical Switches IP Networks Dynamic Scheduling Greedy Algorithms Cloud Computing Computer Centers Bandwidth Scheduling CAPEX Capital Expenditure Cloud Computing Infrastructure Cloud Providers Cloud Resources Computational Modeling Cost Reduction Data Center DC Resources Dynamic Provisioning Greedy Approach Integrated Optics IP/MPLS-Over-WDM Networks Multiprotocol Label Switching Operating Expenditure OPEX Ports(Computers) Total Cost User Demand Provisioning Virtualization Virtualized Cloud Infrastructure
Byrav Ramamurthy
Byrav Ramamurthy
Professor & PI

My research areas include optical and wireless networks, peer-to-peer networks for multimedia streaming, network security and telecommunications. My research work is supported by the U.S. National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, NASA, AT&T Corporation, Agilent Tech., Ciena, HP and OPNET Inc.