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time, since compared to the CPU cost, database access time (disk I/O) is very slow In a distributed system, on the other hand, the validation cost is dominated by the communication cost between the sites involved in a transaction The cost of communication is directly associated with the number of required messages for coordination Example 35 demonstrates this for a simple distributed system scenario Example 35 Consider a two-site system where the EMP table is stored at Site 1 and the DEPT table is stored at Site 2 The EMP table has column ENO as its primary key and a foreign key called DNO that indicates in which department the employee works The DNO column in the DEPT table is the primary key Suppose a human resource manager wants to add a new employee, say, employee 100, who works for department 10.

Let s assume that this is achieved by a human resource manager issuing a transaction at Site 1 Obviously, department 10 must exist in this database since otherwise the referential integrity of the system would be violated Before we run this transaction, we must validate the SI requirements of this transaction we must con rm that department 10 exists in the system We achieve this by sending a message from Site 1 to Site 2 asking if department 10 exists Site 2 s semantic integrity service checks the existence of the department and sends us an answer If DNO = 10 does not exist in DEPT, then this transaction is invalid and must be rolled back Only if the validation is successful do we continue with the execution of this transaction.

The tile cover approach was first described in [20] The method can be outlined as follows For a constrained graph G, a set T of possible tiles that may be used in a tile cover is defined All tiles are defined as vectors indexed by the nodes of G A collection of tiles (multiple copies allowed) can be represented by a nonnegative inT teger vector y +, where y(t) represents the number of copies of tile t present in the tiling A tile cover of a weighted constrained graph (G, w) is such a vector y with the property that t T y(t)t(v) w(v) for each node v of G A cost c(t) is associated with each tile t T.

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Assuming that this transaction is valid and department 10 exists in the system, we have to make sure that, during the execution of this transaction, the DNO column of the DEPT table, representing department 10, does not change This requires locking department 10 s row at Site 2 before executing this insert transaction To do this, Site 1 must send a message to Site 2 requesting it to lock the corresponding row in the DEPT table Once the row has been locked, Site 2 sends an acknowledge message back to Site 1 Upon receiving this message, Site 1 will continue with the insert If the execution of this transaction nishes without any problems, then Site 1 must release the lock on DNO at Site 2 This is accomplished by another message sent from Site 1 to Site 2 and another acknowledgment message sent back from Site 2.

A careful reader has noticed that this example uses a compile time validation approach the transaction execution starts only after validation has completed The total cost of this approach is six messages two messages to validate the referential rule, two messages to lock the row in the DEPT table, and two messages to unlock the row after the transaction has committed On the other hand, if we use run time validation, the total cost of validation will be four messages We can achieve this by piggybacking the lock request on the validation request message This also requires only one acknowledgment message back from Site 2, which reduces the total number of messages to four The following three subsections outline the cost associated with each of the validation approaches in a distributed system..