LEADER 02617oam 2200457zu 450 001 9910141175703321 005 20241212220218.0 010 $a9781457716379 010 $a1457716372 010 $a9781457716362 010 $a1457716364 035 $a(CKB)2670000000146703 035 $a(SSID)ssj0000668884 035 $a(PQKBManifestationID)12198736 035 $a(PQKBTitleCode)TC0000668884 035 $a(PQKBWorkID)10705446 035 $a(PQKB)11430331 035 $a(NjHacI)992670000000146703 035 $a(EXLCZ)992670000000146703 100 $a20160829d2011 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2011 International Conference on Cloud and Service Computing 210 31$a[Place of publication not identified]$cIEEE$d2011 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781457716355 311 08$a1457716356 330 $aMore and more enterprises are moving beyond server virtualization to desktop virtualization in recent years. In virtualization environments, centralized shared storage systems are generally used to take advantage of virtualization features such as VM migration. Network file system (NFS) is considered to be the best choice in small or medium sized LANs due to its flexibility and low cost. But it becomes the bottleneck when many clients access the server simultaneously, especially when multiple virtual machines access a large amount of data at the same time, such as operation save and restore. In this paper, we present a new method named ComIO to quickly save and restore virtual machines using page compression. Based on the analysis of virtual machines' memory characteristics, we design a fast enhanced characteristic-based compression (ECBC) algorithm. Combined with multi-threaded techniques, the compression tasks are parallelized for significantly shortened compresssion time. Page boundary alignment is proposed to enable wanted page data to be directly extracted from the compressed block. The experimental results demonstrate that compared with Xen, our method ComIO not only greatly reduces the time spent on saving and restoring virtual machines on average, but also indirectly augments the effective storage space. 606 $aCloud computing 615 0$aCloud computing. 676 $a004.6782 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910141175703321 996 $a2011 International Conference on Cloud and Service Computing$92343035 997 $aUNINA