RAMCloud 편집하기

'''RAMCloud''' is a distributed in-memory storage system designed for low-latency and high-throughput applications. It provides persistent storage with sub-microsecond access times by keeping all data in DRAM while ensuring durability through fast logging to disk or flash.
==Overview==
RAMCloud aims to combine:
*'''Low-Latency Storage:''' Data is stored entirely in DRAM for rapid access.
*'''High Availability:''' Data is replicated across servers for fault tolerance.
*'''Durability:''' Uses fast disk/flash logging to prevent data loss.
*'''Scalability:''' Can scale to thousands of nodes while maintaining low-latency access.
RAMCloud is particularly useful in environments requiring real-time data access, such as financial systems, search engines, and large-scale web applications.
==Key Features==
*'''Sub-Microsecond Latency:''' Provides faster access than traditional disk-based storage.
*'''Distributed Key-Value Store:''' Supports efficient data retrieval across a cluster.
*'''Crash Recovery in Seconds:''' Recovers lost data quickly by reloading from logs.
*'''High Scalability:''' Designed to handle petabyte-scale datasets with thousands of servers.
==How RAMCloud Works==
#'''Data Storage in DRAM:''' All active data is stored in memory for fast retrieval.
#'''Log-Structured Storage:''' Updates are written sequentially to persistent logs.
#'''Crash Recovery Mechanism:''' Lost data is restored by replaying logs across servers.
#'''Distributed Coordination:''' A master node manages metadata, while worker nodes handle data storage.
==Example Usage==
RAMCloud supports a key-value API that allows fast reads and writes:<syntaxhighlight lang="c++">
// Connect to a RAMCloud cluster
RAMCloud::Client client("tcp:host=ramcloud-cluster");

// Store a key-value pair
client.write("myTable", "key1", "Hello RAMCloud!");

// Retrieve a value
string value;
client.read("myTable", "key1", &value);
cout << "Retrieved: " << value << endl;
</syntaxhighlight>
==Comparison with Other Storage Systems==
{| class="wikitable"
!Feature!!RAMCloud!!Redis!!Apache Cassandra
|-
|'''Storage Medium'''||DRAM (with disk backup)||DRAM||Disk
|-
|'''Primary Use Case'''||Low-latency storage||Caching||Distributed database
|-
|'''Replication'''||Log-based persistence||In-memory replication||Multi-node replication
|-
|'''Fault Tolerance'''||Fast recovery via logs||Data loss risk without persistence||High availability with replication
|}
==Advantages==
*Provides ultra-low-latency storage.
*Recovers from crashes within seconds.
*Scales efficiently across large distributed clusters.
==Limitations==
*Requires large amounts of DRAM, making it expensive.
*Not suitable for workloads requiring deep historical storage.
*Limited adoption compared to more established distributed databases.
==Applications==
*'''Real-Time Analytics:''' Used in financial trading and fraud detection.
*'''Search Engine Indexing:''' Supports rapid access to large indexes.
*'''Web Applications:''' Reduces response times for latency-sensitive services.
*'''Machine Learning Serving:''' Stores feature embeddings for fast model inference.
==See Also==
*[[In-Memory Computing]]
*[[Distributed Storage]]
*[[Redis]]
*[[Apache Cassandra]]
*[[Key-Value Store]]
*[[High-Performance Computing]]
[[분류:Distributed Computing]]
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