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transacted le system and transacted registry resources The Distributed Transaction Coordinator (DTC) is used for managing transactions that cross application, process, or machine boundaries The application does not control which transaction manager is used; WCF will choose the most appropriate one and escalate as needed without application intervention One of two transaction protocols may be used when communicating transition semantics across application, process, or machine boundaries The OleTx protocol is a Windows-speci c binary protocol It is native to the DTC and is ideal for communication within an internal network The Web Services Atomic Transactions protocol , or WS-AT, is a standards-based protocol that also spans application process or machine boundaries But unlike OleTx, WS-AT is transport independent and can ow over TCP, HTTP, or other network protocols Although applications don t have a choice in which resource manager to use, they do determine which transaction protocol to use It turns out that you can specify the transaction protocol only for certain bindings: those that support sessions (required by transactions), those that are two way (required by transaction ow), and those that are not tied to the WS-* stack (WS-* bindings always use WS-AT) This leaves only and The transaction protocol for these bindings can be speci ed in code or con guration Listing 521 shows a con guration le that uses the TCP binding in conjunction with WS-AT that would enable transactions to ow between standards-based (WS-AT), fast (binary), secure (TCP) services over the Internet



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Conservation of memory is accomplished by the DGC protocol described in 182 Conservation of socket connections is accomplished by running a "connection pool" When a client

Example 116 Code from Example 115, improved to use SecureRandom to generate a coupon code for an e-commerce site

String generateCouponCode(String couponBase) { SecureRandom secRanGen = new SecureRandom(); return(couponBase + secRanGennextInt()); }

Implementing Transactions (Operation Behavior)





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connection is required and a free connection to the same target exists, the free connection is reused; when no free connection exists, a new connection is created When the operation on the connection is complete the connection is returned to the pool, subject to a timeout: if it is not reused within the timeout period, the connection is closed In consequence, designers of RMI clients need not concern themselves unduly with the costs of setting up and tearing down socket connections These costs can be amortized over a number of successive calls to the same server Note:connection conservation is a feature of Sun's implementation It is not mandated by the RMI specification and may not be present in other implementations, or may be present in a different form Conservation of server sockets is accomplished by allowing multiple RMI servers executing in the same JVM to share a single listening port,[7] and by forcing this to occur for all RMI servers which don't specify their own port number

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For UNIX and Linux, the default Java 14 con guration seeds itself from /dev/random In Java 15, the con guration defaults to /dev/urandom On some systems, /dev/random blocks until suf cient entropy is available to generate the requested value In contrast, /dev/urandom (as well as nonblocking versions of /dev/random) returns the requested value immediately, even if doing so produces a poor random value because not enough entropy is available Because of this, we prefer to see SecureRandom seeded from /dev/random, which will always be a source of entropy as good as or better than /dev/urandom If you are using Java 15, consider altering the con guration to seek entropy from /dev/random instead

If you con gure SecureRandom to acquire its seed from /dev/random, be aware that, because /dev/random is a shared resource, attackers might be able to arbitrarily stall your request by depleting the entropy in /dev/random Fortunately, you must face this risk only once After you have one SecureRandom object, you can securely create more generators with it, as shown in Example 117

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SecureRandom s = new SecureRandom(); /* original SecureRandom */ byte b[] = sgenerateSeed(20); SecureRandom s2 = new SecureRandom(b);

RMI specification, 531

Use static analysis to nd places where you explicitly seed SecureRandom and manually verify that the seeds are generated from a SecureRandom object or another strong source of randomness If the seed isn t read from a call to generateSeed() on another

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