Handy. A Parallel File System with High Availability & Dynamic Scalability. Bin Cheng Advisor: Dr. Hai Jin Ke Shi Cluster & Grid Computing Lab of HUST
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1 Handy A Parallel File System with High Availability & Dynamic Scalability Bin Cheng Advisor: Dr. Hai Jin Ke Shi Cluster & Grid Computing Lab of HUST
2 Outline Cluster and Grid Computing Lab 2
3 Background --objection With high performance/price rate To provide a practical cluster file system To be the essential component of the supercomputer Cluster and Grid Computing Lab 3
4 Background --survey SAN VSD NFS GPFS DCFS client IOD1 IOD2 IOD3 Metad ata Server PVFS LUSTRE xfs Cluster and Grid Computing Lab 4
5 Background --Comparison among current cluster file systems Name NFS GPFS DCFS PVFS xfs Lustre Handy Meta Manager Centralized Decentralized decentralized Central Decentralized Centralized (present) Decentralized Meta Availability NO Good Log NO NO Strip group RAID3 Active- standy Excellent DHash Scalability Static Off line Static Off line Static Off line Static Off line Static Off line Static Off line Dynamic On line distributed schema Single Solid Single Solid Single Solid Single Solid Single Solid Single Solid customized Based on special Storage Device Cluster and Grid Computing Lab 5 No Virtual Storage Disk No NO NO Object Storage Device No
6 Architecture Servers pool (Up to 1000Nodes) Clients Console Logical circle IOD & Metadata Server Cluster and Grid Computing Lab 6
7 Module Design Parallel Application Normal Application VFS RMI-IO IO Lib.a User space Kernel space Client Server System Interface Client Daemon /dev/handy Request Handle server Op SM Client SM Job Manager Job Manager Server Map BMI DMS DSP DSP BMI SSL Cluster and Grid Computing Lab 7
8 Key technology DSP(dynamic scalability protocol) BMI DMS(high availability for meta data) Customized data distribution schema Cluster and Grid Computing Lab 8
9 Key structure handle Every handle is a 160-bit value Every block has an unique handle Every client keeps a global key range table(server Map) handle key Metadata block(8k) Direntry block(8k) File slice name or data block(64k) Global key range table Node 1 Node 2 Node 3 [0,3) [3,5) [5,0) Example: key space [0,2 3-1] [5,0) Node 3 Node 1 [0, 3) Get the block whose handle is 6 Node 2 [3,5) Cluster and Grid Computing Lab 9
10 DSP --Dynamic Scalability Protocol Checking message Announcing message cat mouse Objections To response the announcement when any servers join or leave To check the failure of any servers To maintain the server map Cluster and Grid Computing Lab 10
11 BMI Myrinet BMI GM --Abstract Network Layer TCP Features A network abstract layer A simple message orient communication library A connectionless interface More efficient Scalability Interface Post message Test message When TCP socket receiver buffers are larger enough to allow a message to send in one step without blocking, the message passing operation can be completed in one ACK response immediately. In high speed network environment, this communication model is more efficient than the default TCP socket communication model. Cluster and Grid Computing Lab 11
12 DHash + SSL --Abstract Storage Layer get(key) DMS DSP put(key, Block) DMS DSP DMS DSP Server 1 Server 2 Server 3 DHash Features Based on block (Key, block) pair Provide the availability of blocks Dynamic scalability Lazy redundancy Local Maintenance Global Maintenance Key 1 Key 2 Key Slice File SSL Features Based on the ext2 file Adapt to the large file Round-robin Server 1 Server 2 Server 3 Cluster and Grid Computing Lab 12
13 Dynamic scalability --join [k1, k2) new server [k2, k2 ) join push When a new server join the logical circle Firstly, Announce others Client update global range table DSP update Block migrate Maintenance [k2, k3) [k2,, k3) Global key range table Cluster and Grid Computing Lab 13
14 Dynamic scalability --leave [k1, k2) [k2, k3) leave True leave announce others before leaving clients and adjacent servers will do their update operations Global key range table Checking timer [k3, k4) False leave No response for a moment No update to the table and Data Maintenance crash Server checking( update DSP & DMS) Client checking (update global key range table Cluster and Grid Computing Lab 14
15 Advantage & Disadvantage Advantages Distribute meta Management Dynamic Scalability High availability No single fault point for meta(mdb +IDA) Modular design Abstract Network Layer(BMI) Abstract Storage Layer(DMS + SSL) Disadvantages A hard work A little complex No stable testing environment Cluster and Grid Computing Lab 15
16 Project progress participators prototype Wei Tang DMS Abstract design & Testing Details Coding Thesis Writing paper Tingyou Meng DDS Debugging Thesis Writing paper Bin Cheng DSP PVFS Thesis Writing paper Now Feb. Mar. May. Time Cluster and Grid Computing Lab 16 Oct. Dec. Feb.
17 Thanks! Your comments and questions are expected!
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