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Cache coherency is an important concept in many computing technologies. In an Oracle RAC database, it is defined as the synchronization of data in multiple caches, so that reading a memory location through any cache will return the most recent data written to that location through any other cache. In other words, if a block is updated by any instance, then all other instances will be able to see that change the next time they access the block. The GCS ensures cache coherency by requiring instances to acquire resources at a global level before modifying a database block. The GCS synchronizes global cache access, allowing only one instance to modify a block at a time. Oracle uses a multiversioning architecture, in which there can be one current version of a block throughout all instances in the cluster. Only the current version of a block may be updated. There can also be any number of consistent read (CR) versions of the block. A consistent read version of a block represents a snapshot of the data in that block at a specific point in time. The time is represented by the SCN. Consistent read blocks cannot be modified, though they can be used as a starting point to construct earlier consistent blocks. The GCS manages both current and consistent read blocks. If a local instance has modified a block and a remote instance requests it, the local instance creates a past image (PI) of the block before it transfers the block to the remote image. In the event of a node or instance failure, the PI can be used to reconstruct current and consistent read versions of the block.

Security risks come in many forms It will usually be useful to group them into categories Commonly used categories are the following: Data confidentiality Data integrity User authentication User authorization Controlling these areas will ensure that data is only visible to those who should see it, and that those who should see it, can see it Data confidentiality is ensured through data encryption Virtually all networked computer systems will at some point in the network be using a broadcast protocol This makes it very easy to intercept traffic For example, there may be point-to-point communication between servers in a machine room, but the rest of the building, where the end users terminals are, may be using 10MHz Ethernet Anyone can intercept Ethernet traffic And when it comes to wireless communications, one needn t even be in the same building to intercept it.

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Cache Fusion addresses several types of concurrency between different nodes: Concurrent reads Concurrent reads and writes Concurrent writes Concurrent Reads Concurrent reads on multiple nodes occur when two instances need to read the same block. In this case, no synchronization is required, as multiple instances can share data blocks for read access without any conflict. Concurrent Reads and Writes If one instance needs to read a block that was modified by another instance and has not yet been written to disk, this block can be transferred across the interconnect from the holding instance to the requesting instance. The block transfer is performed by the GCS background processes (LMSn) on the participating instances. Concurrent Writes When an instance updates a block in the buffer cache, the resulting block is called a dirty buffer. Only the current version of the block can be modified. The instance must acquire the current version of the block before it can modify it. If the current version of the block is not currently available, the instance must wait. Before an instance can modify a block in the buffer cache, it must construct a redo record containing all the changes that will be applied to the block. When the redo record has been copied to the redo buffer, the changes it contains can be applied to the block(s) in the buffer cache. The dirty

block will subsequently be written to disk by the D W background process However, the dirty block B n cannot be written to disk until the change vector in the redo buffer has been flushed to the redo log file If the local instance needs to update a block, and it does not currently hold that block, it contacts the resource master to identify whether any other instance is currently holding the block If a remote instance is holding a dirty version of the block, the remote instance will send the dirty block across the interconnect, so that the local instance can perform the updates on the most recent version of the block The remote instance will retain a copy of the dirty block in its buffer cache until it receives a message confirming that the block has subsequently been written to disk.

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