Agenda Scalability Availability CAP Theorem Scalability Availability Consistency BASE Transaction
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1 Cloud --- Scalability Availability ---
2 Agenda Scalability Availability CAP Theorem Scalability Availability Consistency BASE Transaction
3 Scale-out Scale-out Availability
4 Scalabilty Availability Scalability Availability
5 Availability Replica Replica Eventually Consistency TransactionACID BASE
6 Scale-up Scale-out
7 $10,0 00 machi ne $10,0 00 machi ne $1000 machi ne $1000 machi ne Scale-up Scale-out $500 machi ne $500 machi ne # Machines Scale Up $500 machi ne $500 machi ne $500 machi ne $500 machi ne $500 machi ne $500 machi ne $500 machi ne $500 machi ne Scale Out
8 Scale-up
9 Scale-out
10 Google PC? 33PC
11 Scalability Scale-out Scalability
12 Application GFS Client Google File System (file name,chunk index) (chunk handle, chunk location) GFS Master File NameSpace /foo/bar Chunk 2ef0 Instruction to chunkserver (chunk handle,byte range) chunk data Chunkserver state GFS chunkserver GFS chunkserver Linux File System Linux File System Scalable
13 Master Google MapReduce Worker Partition0 Partition1 Split 0 Split 1 Split 2 Split 3 Scalable Worker Partition0 Partition1 Scalable Worker Worker Output file0 Output file1 Split 4 Worker Partition0 Partition1 Input File and its Split Map Phase Intermediate File on Local Disk Reduce Phase Final Output
14 Bigtable Client Google BigTable Bigtable Client Library Open Bigtable Bigtable Tablet Server Bigtable Master Scalable Bigtable Tablet Server Bigtable Tablet Server Cluster Sheduling System Google File System Chubby Lock Service
15 Amazon Dynamo Consistent Hashing Scalable B,C,D K A,B]
16 Microsoft Azure SDS f(g) = 4601 G Service Instance 1 Service Instance Service Instance Service Instance 5501 Service Instance 5000 G Service Instance Partition Data Overlay Service Request Logical Partitions A, B C, D E, F G, H I, J K, L 28 Service Instances Scalable
17 Microsoft Azure SDS Front-end Node REST/SOAP ACE Logic Data Access Library Front-end Node REST/SOAP ACE Logic Data Access Library Front-end Node REST/SOAP ACE Logic Data Access Library SDS frontend Master Cluster Provisionin g Service Management Deployme nt Health Monitori ng Master Node Partition Manager Data Node Components Master Node Partition Manager Data Node Components Scalable Data Cluster Data Node Data Node Data Node Data Node Data Node SQL Server Fabric Mgmt. Servic es SQL Server Fabric Mgmt. Servic es SQL Server Fabric Mgmt. Servic es SQL Server Fabric Mgmt. Servic es SQL Server Fabric Mgmt. Servic es Fabri c Replicatio n Fetch Partition Map SQL Client
18 Scalability
19 Scalable Scalable On Premise
20 Scalability Scalability Virtualization Scalability Scalability Virtualization
21 Scalability Scalability Scalablity Scalability Scalable Scalability
22 Availability
23 Scale-out 3-year MTBF, 1000 Google 2000
24
25 Google? Ben Jai, Google Platforms Architect Google
26 Cloud Cloud = Scalability + Availability
27 Availability Fail-Over
28 Google File System Availability Google File System Availability Chunk Server
29 4 Client Master 7 Secondary Replica A Primary Replica 3 5 Secondary Replica B 6
30 Windows Azure Availability Windows Azure File System Data Storage Replica Fail-over
31 MS Azure Primary Secondary (quorum) Ack S Ack Ack Read Value Write P Write Write Ack S Ack S Write Write S
32 MS Azure Primary Secondary replica Secondary P B S SP S! S
33 Glassfish Fail-Over Consistency
34 Cluster Cache 4cluster
35 Cache Cachereplica
36 Cache
37 Cache
38 Cache
39 Cluster
40 Cluster
41 Cluster
42 CAP Theorem
43 CAP C,A,P Consistency Partition Availability
44 CAP C A Consistency + Availability P
45 CAP C A Consistency + Partition database / P
46 CAP C A Availability + Partition / DNS P
47 Cloud Cloud C P A C P A? C C P P A A C P A?
48 Availability Consistency e-
49 e- Availability
50 Availability Consistency
51 Read-OnlyPrimary-Key
52 ? Google
53 e- AvailabilityConsistency
54 Scalability Availability Consistency CAPScalability Availability Consistency Cloud
55 CAP Cloud C A P C P A C P A C P A
56 Consistency Scalable Available Consistency Availability Consistent
57 Azure Ack Value Read Write Ack Ack P Ack Ack S Write Write S S Write Write S
58 Azure Consistency
59 Azure Consistent? Primary
60 Eventually Consistency
61 Eventually Consistency Consistent Consistent Eventually Consistency DNS Eventually Consistent
62 Consistency Consistency Eventually ConsistencyCAP Scalable Available Eventually Consistent
63 BASE Consistency ACID Atomic,Consistent,Isolation, Durable
64 OS OS OS OS? OS
65 BASE Basically Available Soft-State Eventually Consistent ACID BASE BASEACID
66 Soft-State Partial Failure
67 ACID Transaction ID Begin Transaction insert ( update set =+100 where update set +100 where = End Transaction
68 ID
69 ID
70 ACID ACID ID Transaction Manager
71 ACID Consistent ACID ID
72 Soft-State Eventually Consistent ACID ACID Soft-State Eventually Consistent
73 Soft-State Eventually Consistent ACID Transaction Manager ID ACID
74 Soft-State Eventually Consistent ACID ACID Transaction Manager BASE Transaction ID
75 Soft- State Eventually Consistent Consistency Soft-State Eventually Consistency Eventually Consistency Consistency Consistency
76 Basically Availability Cloud Basically Availability Optimistic Concurrent Controll
77 Thread A Thread B Share dcoun t Count++ Count++ GetCount() Count++ GetCount() 12 Count++ GetCount() GetCount() ? 13?
78 Thread A Thread B Share dcoun t [Begin Tx] GetCount() GetCount() Count Count++ [Commit Tx] 14 Availability
79 Basically Available Thread A Thread B Share dcoun t Worker Queue GetCount() 12 GetCount() 12 Q.PutMsg( add ) Q.PutMsg( add ) 12 Q.GetMsg() GetCount() GetCount() Count++ Q.GetMsg() Count++
80 Internet Windows Azure m Web Role n Worker Role Queue Windows Azure Datacenter L B Web Site Web Web (ASPX, Site Site ASMX, (ASPX, ASMX, (ASPX, WCF) ASMX, Web Role WCF) WCF) Queue Worker Service Role Tables Storage Blobs
81 Queue Queue Producers Consumers P C 1 1. Dequeue(Q, 30 sec) msg1 Queue msg1 P 1 C 2 2. Dequeue(Q, 30 sec) msg2 Queue
82 Producers Consumers P 2 P C 1 C 2 2. Dequeue(Q, 30 sec) msg2 3. C2 msg2 4. Delete(Q, msg2) 7. Dequeue(Q, 30 sec) msg1 1. Dequeue(Q, 30 sec) msg 1 5. C 1! msg1 Deueue 30Queue
83 Basically Availability Optimistic Lock
84 Entity Client A Version Rating Client B 5 : Ch9, Jan-1, 3 1 : Ch9, Jan-2, 2 9 : Ch9, Jan-3, 6 version Etag
85 Entity Client Client A B 1 : Ch9, Jan-2, Version Rating 1 : Ch9, Jan-2, 2: 2 Ch9, Jan-2, 5 2 2: Ch9, Jan-2, 4 5 : Ch9, Jan-1, 3 1 : Ch9, Jan-2, 2 9 : Ch9, Jan-3, 6
86 Version Client A 1: Ch9, Jan-2, 5 Version Rating Client B 1: Ch9, Jan-2, 4 If-Match: 1 Ch9, Jan-2, 5 5 : Ch9, Jan-1, 3 1 : Ch9, Jan-2, 2 9 : Ch9, Jan-3, 6
87 Version Client A 1: 2: Ch9, Jan-2, 5 Version Rating Client B 1: Ch9, Jan-2, 4 If-Match: 1 Ch9, Jan-2, 5 5 : Ch9, Jan-1, : Ch9, Jan-2, : Ch9, Jan-3, 6 Version Client-A
88 Version Client A Client B Error: Version Rating 1: 412 2: Ch9, Jan-2, 5 1: Ch9, Jan-2, 4 If-Match: 1 1: Ch9, Jan-2, 4 5 : Ch9, Jan-1, : Ch9, Jan-2, : Ch9, Jan-3, 6 Precondition failed (412)
89 Persistency Scalability Availability Consistency Scale-out
90 1,000 PC Scale-out 2G 500G PC PC TByte 0.5Peta Byte Scale-out Scalability
91 365 Availability volatile persistent Coherence
92 Index Indexing Key/Value Hash Indexing
93 P2P/DHT Scalability Availability P2P/DHT
94 P2P/DHT(1) P2P Overlay Scale-out Availability
95 P2P/DHT(2) P2P P2P DHT Distributed Hash Table DHT Hash Table
96
97 Scale-out Scalability Cloud Scale-out Scalability Cloud Availability Cloud Scalability Availability Consistency
98 Eventually Consistent Soft State Basically Available ACID Transaction Eventually Consistent Soft State
99 Basically Availability Optimistic Concurrent Controll P2P/DHT Scalable Available Cloud Cloud
100
101 A Note on Distributed Computing Jim Waldo et al. i_tr pdf
102 (partial failure)
103
104 Formulated in 10 Years Ago Network is Homegenous added by Gosling
105 --- Complexity Quanta and Platform Definition Summary of Jim Waldo s Keynote at the 10th Jini Community Meeting eo/complexity_quanta_and_platform_defin ition.mov esentations/waldo_keynote.pdf
106 (SEQ) (MT) MT (MP) MT (MM) (MMU) Web
107
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109 Seq to MT : MT to MP : ( ) MP to MM : ( ) MM to MMU : (web ).
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