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  ASP.NET Caching, Object Caching & Clustered Object Caching  
   
       
 
 

NCache Features

Below are some features of NCache 3.2. Have a look at them:

Light-weight .NET Client

        NCache now has a light-weight client that is more scalable and faster than 3.0. This light-weight client uses our own socket level
        protocol to talk to NCache server (either locally or remotely).

Light-weight Java Client

        NCache does not rely on any Java-to-.NET interoperability bridge and instead uses its own socket level protocol to talk to the
        NCache server (just like the .NET light-weight client). Now you can have your Java applications use NCache as a clustered object
        cache. This protects your investment in NCache and allows you to keep one cache deployed and used by multiple applications. Java
        client works the same way as .NET client. The Java client can run on any Java compatible platform.

Failover in Remote Light-weight Clients

        Both Java and .NET light-weight clients have failover capability. This means that if the primary server they’re connected to goes
        down, they’ll automatically connect to another server in the cluster. And, you can specify the priority of these servers for each client
        differently. Additionally, when new servers are added or removed at runtime, this information is passed on to the remote clients so
        they can use them for failover as well.

Security

        NCache now provides security with authentication and authorization built into the product. Authentication is done through LDAP.
        NCache allows you to specify administrators and users. Administrators can manage the cluster while the users can only make
        runtime API calls to a specific cache.

Application Connects to Multiple Caches

        NCache client applications can now connect to multiple caches simultaneously. This allows you to keep multiple caches for different
        purposes and share them across applications more effectively.

 

Multi-key Event Notifications

        Applications can register interest into multiple items in the cache to be notified when they’re updated or removed. Then, whenever
        these items are updated or removed, the client application is notified anywhere in the cluster.

Synchronize Items in Multiple Caches

        A new cache dependency called CacheSyncDependency is added that allows items in one cache to be dependent on items in another
        cache. This way, for example, you can have a Local Cache that keeps items frequently used by your application and a Clustered
        Cache that keeps a larger number of items being shared with other applications. And, your local items are kept synchronized with
        the clustered cache so you never have any data integrity problems while improving your app performance even further.

Cluster Management Events

        NCache fires events whenever a node joins or leaves the cluster or when a client finds that its server has gone down and it now
        needs to connect with another server. You can write hooks for these events and take appropriate actions when these events occur.

Cache Management API

        You can now manage the cache through and API (in addition to NCache Manager and command line tools). You can start or stop a
        cache from an API now.

Multiple Cache Instances on same Server (TCP Port Range)

        You can now run multiple cache instances (as InProc) on the same server without any port conflict. Now, you can specify a range of
        TCP ports to be used for cache clustering instead of only one port previously. This way, multiple instances of the cache can run with
        each instance using one port.

Callbacks for Async operations

        You can now specify a callback for AddAsync, InsertAsync, and RemoveAsync operations. This callback is called when the operation
        completes either successfully or with a failure.

Performance Improvement to Partitioned Cache with Replicas

        NCache has now optimized communication in the cluster for this topology.

Native .NET Clustering

       
   NCache developed natively in .NET
       
   Truly scalable peer-to-peer multicasting clustering
       
   Automatic and transparent node failure recovery
       
   On the fly addition and removal of servers

Caching

       
   Easy to understand API
       
   Same API for Local or Clustered environments
       
   Cache configuration through a graphical tool (NCache Manager)      
       
   Fixed or variable sized cache
       
   Time-to-live expiration of cache entries
       
   Fixed-time expiration of cache entries
       
   Idle-time expiration of cache entries
       
   Least-Recently-Used (LRU), Lease-Frequently-Used (LFU), and Priority based Eviction Policies
       
   Expired Items Resynchronization
       
   SQL and OleDB Cache Dependency
       
   Support for custom dependencies
       
   Event Notifications in Local and Clustered environments      
       
   In-process and out-of-process cache configurations
       
   Heap, raw memory, memory mapped file, and file based storage options.
       
   Intelligent relationship management through File and Key based dependencies
       
   Read-through and Write-through caching
       
   High performance Write-behind caching
       
   Clustered Location Transparency      
       
   Clustered Lock Management

Clustering Options

       
   Replicated Cache
       
   Partitioned Cache
       
   Client Cache
       
   Data-less Nodes
       
   UDP and TCP based Cluster

HTTP Clustered Session Management

       
   Maintain and synchronize session state throughout a server farm
       
   Users can now move from server to server on each http request
       
   Achieve optimum load-balancing (no more sticky sessions needed)
       
   No single-point-of-failure due to sophisticated clustering topologies
       
   Built on top of NCache clustering to true in-memory performance
       
   Same API as Clustered Session State

GUI Based Cache Configuration

       
   NCache Manager is a Windows GUI
       
   Create and manage Local Cache or Clustered Cache from it
       
   View rich statistics on the entire clustered cache from a single point
       
   Change clustering topology without affecting the client application
       
   Add or remove nodes from the cluster at run-time

 

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