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Table 8 Comparison of various migration methods along with TPO method

From: A three phase optimization method for precopy based VM live migration

S.no. Migration techniques References Parameters Overhead Workload
TPT TMT DT
1. Compression based Ma et al. (2012) 50.5 % \(\downarrow\) 48.2 % \(\downarrow\) 47.6 % \(\downarrow\) Idle, static web, dynamic web, stream video, kernel compiler
Svärd et al. (2011) 51 % \(\downarrow\) 35 % \(\downarrow\) Factor 10–20 \(\downarrow\) LMBench benchmark, streaming video server
Zhang et al. (2010) 56.6 % \(\downarrow\) 34.9 % \(\downarrow\) 23.16 % \(\downarrow\) Compilation, VOD, static web, dynamic web
Jin et al. (2009) 68.8 % \(\downarrow\) 32 % \(\downarrow\) 27.1 % \(\downarrow\) Static web, dynamic web, kernel-compiler, dbench, MUMmer (memory-intensive)
2. CPU scheduling based Jin et al. (2011) 1s \(\uparrow\) in TMT 88 % \(\downarrow\) 6 % More CPU usage Static web, dynamic web
3. Shared storage based Jo et al. (2013) 30 % \(\downarrow\) 0.2 % Space RDesk, admin, file I/O
4. Prediction of frequently updated pages based Alamdari and Zamanifar (2012) 68 % \(\downarrow\) 62.3 % \(\downarrow\) 0.4 % \(\downarrow\) Idle, kernel built, memtester 4.3 (memory-intensive), stress 1.0.1
Ma et al. (2010) 34 % \(\downarrow\) 32.5 % \(\downarrow\) \(\uparrow\)* MUMmer (memory-intensive)
Liu et al. (2011) Reduced migration cost 72.9 % in terms of MT and DT* Linux idle, TPC-C, Dbench, LINPACK, SPECweb2005
Hu et al. (2011) \(\uparrow\)* Bound no. of iterations 3–5 \(\uparrow\)* \(\uparrow\)* Low and high dirty page environment
TPO 71.1 % \(\downarrow\) 70.4 % \(\downarrow\) 3.4 % \(\downarrow\) 0.05 % Space Idle, kernel built, memtester 4.3 (memory-intensive), stress 1.0.1
  1. Here, \(\downarrow\) is decrease in value, \(\uparrow\) is increase in value, ‘—’ shows parameter not specified, TPT is Total Pages Transferred, TMT is Total Migration Time, DT is Downtime, \(\uparrow *\) is improvement but with no data specified, MT is Migration time, DT* is Data Transferred