NDLI: Survey on a combined approach using prediction and compression to improve pre-copy for efficient live memory migration on Xen

Content Provider	IEEE Xplore Digital Library
Author	Patel, Minal Chaudhary, Sanjay
Copyright Year	2014
Description	Author affiliation: Institute of Engineering & Technology (IET), Ahmedabad University, Ahmedabad, Gujarat (Chaudhary, Sanjay) \|\| Computer Engineering Department, Dharmsinh Desai Institute of Technology (DDIT), Dharmsinh Desai University (DDU), Nadiad, Gujarat (Patel, Minal)
Abstract	Cloud computing is an emerging technology of cluster systems based on virtualization, which makes hypervisor to interact directly with the hardware. Live migration techniques of Virtual Machine (VM) can be useful for load balancing, energy efficiency and fault tolerance. Xen hypervisor is widely used in virtualization for its better performance and integration with different architectures. In this paper, the pre-copy approach of Xen is evaluated for Live Migration of virtual machines. The Framework of Xen-4.1 based pre-copy is configured using DRBD (Distributed Replicated Block Device) on Intel-VT architecture to get a practical understanding of the algorithm. Xen's pre-copy can have better results in terms of performance metrics-downtime, total transfer time, total pages transferred if bitmap structure and writable working set are improved. For avoiding repeated retransmission of memory pages, techniques based on prediction are used to get information about dirty pages. Prediction based two different techniques are discussed: i) LRU Stack Distance ii) Probability Prediction. Memory Compression, a faster migration technique, is the second step of a combined approach. Various compression methods named RLE, Huffman Coding, MEMCOM, WKdm and LZ are classified. Prediction and compression based combined approach is surveyed to improve pre-copy for efficient live memory migration on Xen.
Starting Page	445
Ending Page	450
File Size	203003
Page Count	6
File Format	PDF
ISBN	9781479976829
e-ISBN	9781479976836
DOI	10.1109/PDGC.2014.7030787
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Virtual machine monitors Compression Heuristic algorithms Hidden Markov models Prediction Prediction algorithms Pre-copy Virtual machining Hardware Virtualization
Content Type	Text
Resource Type	Article

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