Fast Selective Data Dissemination for Structured Peer-to-Peer Overlay Network with Object Attributes
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- えりか みねむら
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1 P2P
2 ( 22 ) P2P P2P P2P P2P 1 P2P P2P P2P P2P P2P Kademlia Kademlia P2P P2P P2P P2P P2P Churn GET P2P 1 P2P, 2., 3. Kademlia, 4., 5.
3 Abstract of Master s Thesis - Academic Year 2010 Fast Selective Data Dissemination for Structured Peer-to-Peer Overlay Network with Object Attributes This thesis proposes a method for optimizing the data placement in P2P networks to speed up data delivery. Many current P2P systems have advantages of load distribution and fault tolerance, but at the same time bottlenecks in the data delivery because there is only one node which provides the target data in the beginning. As the computer resources in the P2P system are limited, one bottleneck could affect an entire P2P system and degrade the performance. This thesis argues for a method of data delivery without such a bottleneck using cache nodes which preload the data. This method focuses on the object (node/data) attributes on the P2P system to select the cache nodes and make groups in P2P system. The object attributes are the information that shows an object s properties and features. For example the node attributes represent user s interests and preferences, and the data attributes represent their contents and titles. Grouping within a P2P system is realized through an extension of Kademlia, a structured P2P overlay network. Kademlia has more adaptable structure than any other structured P2P overlay network, which makes it easy to introduce grouping and maintain the performance even with the presence of multiple attributes for a node. As a result, the extended version of Kademlia can easily work maintaining its scalability even when many groups are created in a network or new nodes continue to join. To evaluate the effectiveness of cache nodes and the performance of the new P2P overlay network, we conducted several simulations. In the performance simulation, it was ascertained that the new P2P overlay network took more tries to search for data, but it could find more data than the original Kademlia. In simulations evaluating the effectiveness of cache nodes, requesters were forced to wait with or without cache nodes, but waiting time with cache nodes is shorter and it was ascertained that cache nodes indeed speed up data delivery. Using this method, the author hopes that P2P overlay networks as the data delivery platform can expand their application range, enabling people to innovate the new services that are vital technology as we pursue the potential of the future information society development. Keywords : 1. P2P, 2. Overlay Network, 3. Kademlia, 4. Attributes, 5. Grouping Keio University, Graduate School of Media and Governance Yusuke Kuromiya
4 P2P P2P P2P Kademlia P2P P2P P2P P2P iii
5 Kademlia G-Kad G-Kad LFRT-Chord Diminished Chord Flexible Routing in Grouped DHTs G-Kad Kademlia iv
6 52 A 56 A.1 DVD Top A.2 DVD Top A.3 DVD Top
7 P2P Kademlia P2P P2P P2P GET A DVD Top
8 A DVD Top vii
9 2.1 P2P P2P A DVD Top A DVD Top A DVD Top
10 1 1.1 YouTube[1] Ustream[2] Contents Delivery Network CDN CDN CDN CDN CDN CDN Peer-to-Peer P2P P2P P2P P2P 1
11 P2P 1 P2P CDN P2P P2P P2P P2P 1.2 P2P P2P 2 1. P2P P2P 2. P2P P2P P2P P2P P2P 2
12 P2P P2P P2P P2P P2P P2P P2P
13 2 P2P P2P P2P P2P P2P Kademlia[3] P2P [4, 5, 6, 7] 4
14 Client Service Server Client Client 2.1: [8] Software as a Service SaaS Platform as a Service Paas Infrastructure as a Service IaaS CDN 5
15 2.2. P2P P2P P2P 2.2 P2P 1 P2P P2P P2P P2P P2P P2P P2P P2P P2P P2P P2P 6
16 2.2. P2P 2 Peer er Server/Client Service Peer Peer 2.2: P2P P2P P2P P2P Gnutella[9] Winny[10] Share[11] P2P P2P P2P P2P 7
17 2.2. P2P 2 P2P P2P P2P P2P Chord[12] CAN[13] Tapestry[14] Pastry[15] Kademlia[3] Kademlia P2P Kademlia Kademlia Kademlia P2P 2 1 Kademlia ID 1 2 Kademlia 2.3 ID Kademlia k-buckets k-buckets ID 2 i 2 i+1 0 i < 160 k-bucket k-buckets 8
18 2.2. P2P Space of 160 bit numbers : Kademlia ID 2 0 ID 2 1 ID IP UDP ID k-bucket k k Kademlia 20 k-buckets k-buckets ID Kademlia k-buckets k-buckets 9
19 2.2. P2P 2 k-buckets [16] kbuckets PING PING PING k-buckets k-buckets k-buckets Kademlia Kademlia 4 Remote Procedure Call RPC PING STORE FIND NODE ID k 1 k-bucket k FIND VALUE Kademlia ID k 10
20 2.2. P2P 2 1. ID α FIND NODE 2. FIND NODE α FIND NODE 3. α 3 key-value Kademlia key-value 1. k 2. k STORE value Kademlia value 1. k 2. k FIND VALUE Kademlia Kademlia 1. u w k-buckets 2. u ID 3. u k-buckets u k-buckets Kademlia Kademlia 11
21 2.2. P2P P2P P2P P2P P2P : P2P P2P P2P P2P n O(n) O(log n) 2.1 P2P P2P P2P P2P P2P : Chord CAN Tapestry/Pastry Kademlia N Plaxton - Open Chord[17] jxta-meteor[18] FreePastry[19] Khashmir[20] BitTorrent[21] BitTorrent Kademlia 12
22 3 P2P 2 P2P P2P P2P P2P P2P
23 P2P Originator Node NG OK NG General Node 3.1: P2P P2P P2P [22, 23]
24 P2P Originator Node General Node Cache Node 3.2: P2P P2P P2P P2P 15
25 P2P Originator Node Delivery Server General Node 3.3: P2P 3.2 2, P2P P2P 4 16
26 4 3 P2P 4.1 P2P P2P P2P P2P P2P P2P P2P 17
27 Originator Node Cache Node General Node 4.1: P2P [24] P2P P2P 18
28 P2P P2P P2P P2P P2P 2.2 P2P P2P P2P P2P P2P Kademlia Kademlia P2P Kademlia 3 1. Kademlia P2P 2. Kademlia Kademlia 19
29 Kademlia P2P Kademlia P2P Kademlia P2P P2P Kademlia P2P P2P 20
30 P2P 2. P2P 3. P2P P2P P2P P2P Kademlia Kademlia 21
31 P2P 5.2 P2P 1 P2P 1 P2P 1 1 AND Kademlia 160bit space α β Y B Z C X A Key: D Tag: γ γ D 5.1: 22
32 Kademlia 160bit space α β Y B Z C X A Tag: γ γ D 5.2: P2P P2P P2P IP P2P Kademlia P2P Kademlia 23
33 Tag A Tag B Tag C A A C B A B C C Tag A Tag C 5.3: Kademlia Kademlia P2P P2P Kademlia
34 Tag A Kademlia New Data Tag A Priority: =11 =14 =13 =12 = Tag B Tag C Tag D Tag E Tag F : P2P P2P [25] 20%
35 P2P P2P 2. P2P 3. P2P 20% 1 5 P2P Cache Node Originator Node Tag A Tag B Tag C General Node Cache Node Lookup Tag A Tag B Tag C 5.5: 26
36 Cache Node Originator Node Tag A Tag B Tag C Tag A Tag B Tag C Data Registration General Node Tag A Tag B Tag C 5.6:
37 General Node Tag D Tag A Tag B Tag C Tag D Data Registration General Node Tag D 5.7:
38 Kademlia Kademlia G-Kad Kademlia G-Kad G-Kad Kademlia Kademlia Kademlia G-Kad k-buckets G-Kad k-buckets IP UDP ID G-Kad 29
39 Kademlia G-Kad 4 Kademlia 3 STORE FIND NODE FIND VALUE RPC Kademlia FIND NODE FIND VALUE Kademlia FIND NODE BY ATTRIBUTE RPC FIND NODE BY ATTRIBUTE 1 RPC G-Kad G-Kad : 1 public bool AttributeEquals(string a, string b) 2 { 3 System.Globalization.CompareInfo ci = System.Globalization.CultureInfo. CurrentCulture.CompareInfo; 4 5 if (a.length > b.length) 6 { 7 if (ci.indexof(a, b, System.Globalization.CompareOptions.IgnoreCase 8 System.Globalization.CompareOptions.IgnoreKanaType 9 System.Globalization.CompareOptions.IgnoreNonSpace 10 System.Globalization.CompareOptions.IgnoreSymbols 11 System.Globalization.CompareOptions.IgnoreWidth) > 0) 12 { 13 return true; 14 } 15 } 16 else 17 { 18 if (ci.indexof(b, a, System.Globalization.CompareOptions.IgnoreCase 19 System.Globalization.CompareOptions.IgnoreKanaType 20 System.Globalization.CompareOptions.IgnoreNonSpace 21 System.Globalization.CompareOptions.IgnoreSymbols 22 System.Globalization.CompareOptions.IgnoreWidth) > 0) 23 { 24 return true; 25 } 30
40 } 27 return false; 28 } : 1 public class Attribute 2 { 3 public string Tag { get; set; } 4 public int Frequency { get; set; } 5 } 6 7 public int CalculatePriority(List<Attribute> ourtags, List<Attribute> targettags) 8 { 9 int priority = 0; 10 foreach (Attribute ourtag in ourtags) 11 { 12 foreach (Attribute targettag in targettags) 13 { 14 if (AttributeEquals(ourTag.Tag, targettag.tag)) 15 { 16 priority += targettag.frequency; 17 } 18 } 19 } 20 return priority; 21 } G-Kad Kademlia 31
41 7 6 G-Kad Kademlia G-Kad Kademlia Churn Kademlia 1 50% Churn G-Kad 6 G-Kad Kademlia PUT GET Kademlia PUT/GET GET Kademlia Churn PUT Churn GET Churn [26] ORICON 2009[27] DVD Top 500 A.1 ORICON
42 7.1. G-KAD 7 DVD Top Amazon.co.jp[28] Amazon.co.jp 841, : C# Microsoft.NET Framework OS Microsoft Windows 7 Ultimate (x64) OS Version Build 7600 IDE) Microsoft Visual Studio 2010 Ultimate Edition IDE Version Microsoft Visual C# 2010 Compiler Version Kademlia Daylight 0.2 Kademlia Daylight[29] P2P G-Kad P2P PUT GET 33
43 7.1. G-KAD Kademlia ID G-Kad ID DVD Top P2P Kademlia PUT G-Kad PUT 5. Kademlia GET G-Kad GET Churn 10% 20% 30% 40% 50% GET 34
44 7.1. G-KAD Average Try Churn Kademlia G-Kad 7.1: Kademlia G-Kad x Churn y Churn PUT GET 7.1 Churn Kademlia G-Kad Churn Kademlia G-Kad G-Kad G-Kad Kademlia ID Kademlia 2 G-Kad Kademlia 35
45 7.1. G-KAD 7 GET Kademlia G-Kad GET 7.2 GET Sucess Kademlia G-Kad Churn 7.2: GET 7.2 x Churn y GET Churn Churn GET Kademlia PUT GET 2000 ID ID PUT k-bucket GET ID [30] 7.2 Kademlia G-Kad GET G-Kad Kademlia k 20 G-Kad PUT 1 PUT PUT 36
46 G-Kad GET G-Kad DVD Top HD H.264[31] 4GiB G-Kad 37
47 DVD Top P2P FIND NODE BY ATTRIBUTE 20% P2P
48 x y Waiting Time (min.) :01 0:09 0:17 0:25 0:33 0:41 0:49 0:57 1:05 1:13 1:21 1:29 1:37 1:45 1:53 Time Elapsed (min.) Waiting Time 7.3: P2P P2P
49 Waiting Time (min.) :00 0:04 0:08 0:12 0:16 0:20 0:24 0:29 0:33 0:37 Time Elapsed (min.) 0:41 0:45 0:49 0:53 Waiting Time 7.4: x y P2P
50 Number of Nodes : :08 0:16 0:24 0:32 0:40 0:48 0:56 1: : :20 Time Elapsed (min.) : :36 1:44 1:52 2:00 Processing Complete 7.5: Number of Nodes : :08 0:16 0:24 0:32 0:40 0:48 0:56 1:04 1:12 1:20 Time Elapsed (min.) 1:28 1:36 1:44 1:52 2:00 Processing Complete 7.6: 41
51 : 1 0:27:00 0:43:00 2 0:30:00 0:43:00 3 0:55:00 0:43:00 4 0:57:00 0:43:00 5 0:57:00 0:43: P2P :
52 : 4: :37 4: : Kademlia G-Kad GET Kademlia G-Kad GET G-Kad Kademlia G-Kad G-Kad Kademlia G-Kad 43
53 8 P2P 8.1 LFRT-Chord LFRT-Chord[32] P2P Flexible Routing Tables Chord LFRT-Chord FRT Label P2P ISP LFRT-Chord Chord : 8.2: P2P P2P P2P 44
54 8.2. DIMINISHED CHORD 8 8.3: 8.4: 8.2 Diminished Chord Diminished Chord[33] Chord P2P P2P Diminished Chord Chord k O(k log k) Diminished Chord O(k) 8.3 Flexible Routing in Grouped DHTs Flexible Routing in Grouped DHTs GTap [34] Tapestry P2P GTap P2P Group Membership Rendezvous GMR GTap GTap Tapestry Autonomous DHT ADHT [35] 8.5 GTap P2P 64 45
55 : 8.6: GTap P2P P2P 8.4 P2P Kademlia P2P P2P Kademlia P2P Kademlia P2P G-Kad Kademlia Kademlia Kademlia 8.1 LFRT-Chord 46
56 9 9.1 P2P P2P P2P P2P P2P P2P P2P P2P P2P P2P P2P 47
57 P2P P2P P2P P2P Kademlia Kademlia P2P Kademlia Chord CAN Pastry Kademlia 3 1. Kademlia P2P P2P G-Kad G-Kad Kademlia Kademlia G-Kad GET Kademlia G-Kad GET G-Kad Kademlia G-Kad G-Kad Kademlia 48
58 G-Kad GET G-Kad G-Kad 8 G-Kad G-Kad 49
59 % 20% 16% 20% Kademlia Kademlia k-buckets α k-buckets k-buckets GET Kademlia Kademlia G-Kad BitTorrent BitTorrent 50
60 Kademlia 9.3 P2P P2P P2P P2P P2P 51
61 Rodney D.Van Meter III OB SFC Do Thi Thuy Van 6 52
62 [1] YouTube. [2] Ustream. [3] Petar Maymounkov and David Mazieres. Kademlia: A peer-to-peer information system based on the xor metric. pages 53 65, [4] salesforce.com. [5] Amazon Web Services. [6] Microsoft Windows Azure. [7] MobileMe. [8] P. Mell and T. Grance. The NIST Definition of Cloud Computing. Version 15. National Institute of Standards and Technology, [9] Gnutella Protocol Specification. GDF. [10] Isamu Kaneko. The Technology of Winny. ASCII, October [11] Share. Freenet: CAT/17//. [12] Ion Stoica, Robert Morris, David Karger, M. Frans Kaashoek, and Hari Balakrishnan. Chord: A scalable peer-to-peer lookup service for internet applications. In SIGCOMM 01: Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications, pages , New York, NY, USA, ACM. [13] Sylvia Ratnasamy, Paul Francis, Mark Handley, Richard Karp, and Scott Schenker. A scalable content-addressable network. SIGCOMM Comput. Commun. Rev., 31(4): , [14] Ben Y. Zhao, John D. Kubiatowicz, and Anthony D. Joseph. Tapestry: An infrastructure for fault-tolerant wide-area location and. Technical report, Berkeley, CA, USA,
63 [15] A. Rowstron and P. Druschel. Pastry: Scalable, decentralized object location, and routing for large-scale peer-to-peer systems. In Middleware 2001, pages Springer, [16] S. Saroiu, P.K. Gummadi, S.D. Gribble, et al. A measurement study of peer-topeer file sharing systems. In proceedings of Multimedia Computing and Networking, volume 2002, page 152. Citeseer, [17] Open Chord. [18] jxta-meteor. [19] FreePastry. [20] Khashmir. [21] BitTorrent. [22] 2. [23] SkeedTools.com. [24],. p2p. 2010, pp , July, [25] E.M. Rogers. Diffusion of innovations. Free Pr, [26]. [27] EMO. ORICON 2009., [28] Amazon.co.jp. [29] Daylight. [30] H.J. Kang, E. Chan-Tin, N.J. Hopper, and Y. Kim. Why Kad lookup fails. In Peerto-Peer Computing, P2P 09. IEEE Ninth International Conference on, pages IEEE, [31] Schwarz T. Schafer R., Wiegan T. The emerging h.264/avc standard, [32] [33] D.R. Karger and M. Ruhl. Diminished Chord: A protocol for heterogeneous subgroup formation in peer-to-peer networks. Peer-to-Peer Systems III, pages ,
64 [34] Y. Zhang, D. Li, L. Chen, and X. Lu. Flexible Routing in Grouped DHTs. In Eighth International Conference on Peer-to-Peer Computing (P2P 08), pages IEEE, [35] P. Yalagandula and M. Dahlin. Administrative autonomy in structured overlays. IEEE IPTPS, 2006.
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70 A.1. DVD TOP 500 A , % , % / 2 : 2-Disc , % , % (2 ) , % Perfume First Tour GAME , % , % , % LIVE IN AWAJISHIMA , % / (2 ) , % : , %!! ( ) 300 DVD(14)( ) 2008 VS , % , % Vol , % , % , % of ROOKIES , % , % , % ROCK N ROLL IN TOKYO DOME , % Vol , % DJ KAORI S INMIX DVD , % EVOLUTION , % YUKI concert New Rhythm Tour , % PLAYZONE , % , % , % USAVICH Season3 / , % ( ) , % Vol , % HISTORY in JAPAN Vol , % , % Axis Powers vol , % OP/ED COLLECTION Volume 1-20th Century , % , % , % Summer Concert 2004 Now 61
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78 A.1. DVD TOP 500 A , % ( ) , % VIII , % LIVE TOUR ROCK SOUL II , % 1 2 ( ) , % SUPERNATURAL / , %!! 25 DVD (10)( ) 24!! , % , % , % AVP2 VS. ( 2 ) , % , % , % NEWS CONCERT TOUR pacific THE FIRST TOKYO DOME CONCERT , % E.T , % , % PLAYZONE FINAL SHOW TIME Hit Series Change( ) , % DVD , %! , % , % , % HISTORY in JAPAN vol , % NHK! , % - -!42.195km BOX ( ) , % , % , % 2-Disc , %! M VS VS VS DVD , % TUBE Live Around Special 2008 Paradiso , % PV SHOW!!?? , % ( ) , % , % in , % -!!! , % ROOKIES ( ) ( )BOX 69
79 A.2. DVD TOP 500 A , % IV , % Deco Vs Deco , % , % , % 2009 BIGBANG LIVE CONCERT BIG SHOW , % A.2 DVD Top 500 DVD Top 500 Amazon.co.jp A.2 A.2: 2009 DVD Top % % sf % % % % % % % % % % dvd % % % % % % % % % % % % % % % % % % 70
80 A.2. DVD TOP 500 A % % % % % % % % % % % % dvd % michael jackson % miya % % % % tv % % studio ghibli % % tvxq dbsk % % % % % % % % % % % % % clannad % key % % % clannad after story % clannad dvd % tv % % arashi % % % 71
81 A.2. DVD TOP 500 A % % % % % % % % f % % % tvxq % % % dj miya % tv % % % % % % % % % % % % % % dvd % % % % % clamp % % % % % % % % % bd % % % 72
82 A.2. DVD TOP 500 A % kat-tun % tvxq % live % % % % dvd % % % % % % % % % type-moon % % the garden of sinners % ufotable % % % % % % % % % % % % % % % % % % perfume % % % % % news % j-pop % % % 73
83 A.2. DVD TOP 500 A % mr children % mrchildren % % % beat it % % % % % % % % % % % % % % % % % % shinichi tsutsumi % % % % v % % % % % % % % % % % % % % % % % % % 74
84 A.2. DVD TOP 500 A % % box % % % % % % % % % % % godfather % % % % % % % % % % % % % % % % % % % % % b z % % % % % % bank band % % kinki kids % % % % 75
85 A.2. DVD TOP 500 A % % janet jackson % ps % % % % hey say jump % % heysayjump % t % % % % % scifi % 2nd % % % pixar % % % % % % dvd % % % % % % % % kalafina % % % % % % % % % % % pv % larcenciel % 76
86 A.2. DVD TOP 500 A % % % % % % % % % smallville % % % % % % % % % % % % % % % ymo % % % % dvd % % mtv % % % % % % % % % % % % % % % % 77
87 A.2. DVD TOP 500 A % revo % sound horizon % jimang % rikki % % % % % % % % % % % % % tv % % % team nacs % % % % % % % % % % % % % % % aska % % % % % % % % % ps % % ps3 78
88 A.2. DVD TOP 500 A % ps % ps % ps % ps % ps % ps % % % % collection % collection % pv % % % % % exile % % exile live dvd % smap % blu-ray % best fiction tour % 79
89 A.2. DVD TOP 500 A % % % % % umd % % tvxq tvxq % bbc % mj % mj % % % % bz 80
90 A.2. DVD TOP 500 A % % % mr children live dvd % rock % kinki kids live dvd % kinkiyou kinki kids % music videos aaa % pabo % % biohazard % capcom % residentevil % % % satc % budoukaaaaaaaaaan 81
91 A.2. DVD TOP 500 A uc % % % sf % % cg % 7 3splash trick live tour koda kumi % % this is it % man in the mirror % mj % smooth criminal % ayu % ayumi hamasaki dvd 82
92 A.2. DVD TOP 500 A dvd live best live % aiko % br % br clear all % dreams come true % live % sprinter % unicorn % ebi % % % % 83
93 A.2. DVD TOP 500 A % v % salyu % co % eco-reso % % % % % % 84
94 A.2. DVD TOP 500 A % % bd % the last princess % l arc en ciel % larc en ciel % tetsuya % % % l arc % 85
95 A.2. DVD TOP 500 A % animation % madonna % twenty four % tt % % % coming century % endlicheri endlicheri % spitz % hyde % % % guitarhythm % % % arata 86
96 A.2. DVD TOP 500 A % p % m % cs % % game % capsule % 3 87
97 A.2. DVD TOP 500 A % djkaori % dragonball evolution % yuki % judy and mary % yuki nrg arashi % box arashi % jj % % % blu-ray % mononoke 88
98 A.2. DVD TOP 500 A % % % dog % super driver % % saw % % % % % non style % staple stable 89
99 A.2. DVD TOP 500 A % moira % sound % % clapton % jeff beck % vinnie colaiuta % eric clapton % jimmy page % tal wilkenfeld % cars % paul newman 90
100 A.2. DVD TOP 500 A % this is america % usa for africa % % % % % % % the yellow monkey sf x-men % % superfly 91
101 A.2. DVD TOP 500 A % % ambivalent world % ryo % supercell % % % % naruto % naruto dvd % % % dmc 92
102 A.2. DVD TOP 500 A ii % rc % % % ova % % % w-inds 93
103 A.2. DVD TOP 500 A % w-inds % ance % transformers % jennifer hudson % % dvd % bank band with great artists % ttt 94
104 A.2. DVD TOP 500 A fullmetal alchemst fadvd % five % x-files % dir en grey % xenophobia dvd % flumpool % clint eastwood % x % % disc % asian kung-fu generation % 9mm parabellum bullet % janne da arc 95
105 A.2. DVD TOP 500 A vs dvd % d-wars % vfx % % % umdvideo % a b c-z % ps3 v % % mai kuraki % mai-k % aaa dvd 96
106 A.2. DVD TOP 500 A % funky monkey babys % mrbig % music blu-ray dvd % greeeen % tbs % % % may n % supernatural % supernatural % arasi % kis-my-ft % megadeth 97
107 A.2. DVD TOP 500 A % a % zombies cue % % dvd dvd % rookies 98
108 A.3. DVD TOP 500 A % big bang A.1 Frequency Rank 1 A.1: 2009 DVD Top 500 A.1 A.3 DVD Top 500 DVD Top 500 Amazon.co.jp DVD Top 500 A.3 99
109 A.3. DVD TOP 500 A A.3: 2009 DVD Top % % (2 ) % % GOEMON % % % % % % % %! VALUE PRICE % % 3 (2 ) % DVD % % % G.I % % % % % DVD % % ( ) % % namie amuro BEST FICTION TOUR % % % %!! ( ) 300 DVD 15( ) 24 [DVD] % Koda Kumi Live Tour 2009 TRICK % LIVE( ) % % % % ( ) 100
110 A.3. DVD TOP 500 A % (2 ) % ( ) % % DVD % % DVD % DVD % % ( ) % % % % DVD % DVD % TIM % % % % % % % % % % % 20 ( 2 ) % % % % ZERO II % EXILE LIVE TOUR 2009 THE MONSTER % GO!5!KAELAND % % K % % (2 ) % % % TM3 (2 ) % II % F( ) % ARASHI AROUND ASIA 2008 in TOKYO % 101
111 A.3. DVD TOP 500 A % TOUR % % % % R2 volume % F( ) % R2 volume % R2 volume % % % % % % % ( ) % 30th F91 [ ] % R2 volume % F( ) % % SUMMER TOUR 2007 FINAL Time % 5 10 All the BEST! CLIPS % HERO % Mr.Children HOME TOUR 2007 in the field % X % % Part II % Mr.Children Tour % B z LIVE-GYM Pleasure 2008-GLORY DAYS % % % 2 VOL.6 SP [DVD] % / % % 30th [ ] % ARASHI AROUND ASIA + in DOME % C D G no ARASHI! Vol % C D G no ARASHI! Vol.2 102
112 A.3. DVD TOP 500 A % % 007 (2 ) % (2 ) % / 2-Disc % AVP2 VS. ( ) % FUNKY MONKEY BABYS % 27 ( ) % % % F( ) % Summer Concert 2004 Now % % DVD-BOX % TOKYO STAR Tour % 4TH LIVE TOUR 2009-THE SECRET CODE-FINAL IN TOKYO DOME % % % % %!! 25 DVD (10)( ) 24!! % Vol % 2 DVD-BOX(VOL.4 VOL.5) % % % 1( ) % % vol % % How s it going? Summer Concert % % with C K LIVE TOUR % 3rd LIVE TOUR 2008 T % All About Season % All About Season % E.T % % % % 2 103
113 A.3. DVD TOP 500 A %!!( )20 DVD (12)( ) % % % % % % % % % % ( ) % % % % % 1st LIVE TOUR 2006 Heart Mind and Soul %! 1 100! % Perfume BUDOUKaaaaaaaaaaN!!!!! % 2nd LIVE TOUR 2007 Five in the Black % All About % HISTORY in JAPAN Vol % HISTORY in JAPAN Vol % HISTORY in JAPAN Vol % HISTORY in JAPAN vol % ROOKIES ( ) ( )BOX % YUKI concert New Rhythm Tour % %!!( )20 DVD (13)( )!!!+! % Vol % Vol % EVOLUTION % DVD BOX2 ( ) % vol % vol % % % % 12( ) 104
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