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Timing constraints are used to indicate the timing window within which a notification must be delivered. If delivery can t be completed within this time, the notification is considered undeliverable and discarded. You can define the window in relative or absolute terms. In relative terms, the window indicates a length of time within which delivery must occur, such as 10 seconds. In absolute terms, the window can indicate both a starting and ending time. The starting time indicates the earliest delivery time allowed. Since notifications are normally delivered as quickly as possible, start times are rarely used. The end time specifies when the delivery should be completed by, such as 13:21:54.9.
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Throughput indicates how much information a subscriber gets in a given period of time. In theory, subscribers should get all the notifications directed to them. In practice, there can be reasons to not allow all notifications to be delivered, such as insufficient bandwidth. A delivery service might offer different prices for various levels of service, with the intention of billing the customer according to the requested throughput. A high throughput might require special communications hardware or dedicated notification servers. Throughputs might be expressed in messages/hour, bytes/hour, or other units.
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31. Joerg Kaiser, Cristiano Brudna, and Carlos Mitidieri, A Real-Time Event Channel Model for the CAN-Bus (proceedings of the Workshop on Parallel and Distributed Real-Time Systems, 17th International Symposium on Parallel and Distributed Processing, Nice, France, April 2003).
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CHAPTER 3 NOTIFICATION DELIVERY
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This category relates to the previous three and is significant only if a notification service can t keep up with the publisher and is forced to queue notifications. When choosing the next notification to send from the queue, the service needs to know what criterion to use. The following are common ones: Any: The order is not important. If no other QoS services are specified, FIFO order is the default ordering. FIFO: Notifications are delivered on a first-come, first-served basis, disregarding constraints related to priority, timing, and throughput. Priority: Notifications are delivered in order of priority. Deadline: The notifications with the nearest expiration time are delivered first. QoS can be supported at different levels. For example, the priority might be used at the notification service level to choose a faster transmission channel at the communication level. QoS services are not orthogonal, and it is possible to specify QoS in a conflicting way. For example, using a low priority with a very short expiration time might cause notifications to be lost. Supporting QoS requires a certain amount of computing power, so QoS is usually available only if a dedicated notification service is used to handle delivery. QoS is not supported in nondistributed systems built with technologies like JavaBeans and .NET, in which the event source is responsible for notification delivery.
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In some situations, it might be necessary for a group of notifications to be considered atomic, or indivisible. The intent is to either have all or none of the notifications processed, because processing only some of them would leave the system in an invalid state. There are two important cases in which groups of notifications occur: 1. With one receiver 2. With multiple receivers Figure 3-32 shows the two cases graphically.
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Receiver
Sender
n1, n2, n3
Receiver
Sender
Receiver
n3 Receiver
A. Single Receiver
Figure 3-32. Notifications to be processed as a group
B. Multiple Receivers
CHAPTER 3 NOTIFICATION DELIVERY
In the single-receiver case, you don t want the recipient to process any of the notifications unless it gets all of them. In the multiple-receiver case, you might not want any of the recipients to process their notification unless all the receivers got their notifications. For example, you might want the receiver that gets the n1 notification to wait until the other two receivers get the n2 and n3 notifications, before processing n1. You can also combine the two cases together, if you send multiple notifications to multiple receivers. To handle such atomic groups of notifications, you can use transactions, which have been used for years with databases and other systems. Although transactions aren t normally included under the QoS heading in most notification services, they should be, because they can be thought of as an added service offered by the delivery system. The following is a simple example of how you might use transactions: In a banking application, let there be two notifications associated with Withdrawal and Deposit events. When transferring money between accounts, you could send a Withdrawal notification to one and a Deposit to the other. By wrapping the two notifications in a transaction, you can prevent unexpected failures from disrupting the finances of the bank s customers. The question at this point is how to implement transactions. At the notification level, there are no standards, but one thing is essential: The communication protocol between the sender and receiver must be able to detect transmission failures. The single subscriber case is not too difficult to implement. What you need to do is create special notifications to designate transactional commands. The notifications might be called BeginTransaction, CommitTransaction, and RollbackTransaction. In the single-subscriber case in Figure 3-32, you would wrap the notification sequence (n1, n2, n3) in a transaction by using the sequence (BeginTransaction, n1, n2, n3, CommitTransaction), as shown in Figure 3-33.
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