Using virtual machine monitors to overcome the challenges of monitoring and managing virtualized cloud infrastructures

Bamiah, Mervat Adib; Brohi, Sarfraz; Chuprat, Suriayati

Abstract

Virtualization is one of the hottest research topics nowadays. Several academic researchers and developers from IT industry are designing approaches for solving security and manageability issues of Virtual Machines (VMs) residing on virtualized cloud infrastructures. Moving the application from a physical to a virtual platform increases the efficiency, flexibility and reduces management cost as well as effort. Cloud computing is adopting the paradigm of virtualization, using this technique, memory, CPU and computational power is provided to clients' VMs by utilizing the underlying physical hardware. Beside these advantages there are few challenges faced by adopting virtualization such as management of VMs and network traffic, unexpected additional cost and resource allocation. Virtual Machine Monitor (VMM) or hypervisor is the tool used by cloud providers to manage the VMs on cloud. There are several heterogeneous hypervisors provided by various vendors that include VMware, Hyper-V, Xen and Kernel Virtual Machine (KVM). Considering the challenge of VM management, this paper describes several techniques to monitor and manage virtualized cloud infrastructures. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Citation

Bamiah, M. A., Brohi, S., & Chuprat, S. (2012). Using virtual machine monitors to overcome the challenges of monitoring and managing virtualized cloud infrastructures. In Y. Li, & Z. Zeng (Eds.), Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis. https://doi.org/10.1117/12.920880

• Conference Name: Fourth International Conference on Machine Vision (ICMV 11)
• Conference Location: Singapore, Singapore
• Start Date: Jan 13, 2012
• Acceptance Date: Dec 12, 2011
• Publication Date: Feb 27, 2012
• Deposit Date: Sep 9, 2022
• Publisher: Society of Photo-optical Instrumentation Engineers
• Volume: 8349
• Book Title: Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
• ISBN: 9780819490254
• DOI: https://doi.org/10.1117/12.920880
• Public URL: https://uwe-repository.worktribe.com/output/9942662
• Publisher URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8349/1/Using-virtual-machine-monitors-to-overcome-the-challenges-of-monitoring/10.1117/12.920880.short?SSO=1
• Related Public URLs: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8349.toc