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Within J2EE, Session Beans are the components that are used to support the processing and workflow requirements of an application. In terms of defining business-oriented sessions, specific business processes described in requirements are usually used to identify the different session methods to implement. However, there are many ways to arrange those methods into sessions. Deciding the set of distinct sessions that are required, and how the methods should be mapped to them, can have a significant effect on development and operation of the system. In general, well-organized sessions should be based on general OO principles of analysis and design. A good approach is to define a session for each core abstraction (for example, entity), and collect together the methods that operate on that abstraction. Such sessions exhibit high cohesion and low coupling, enhancing their understandability, use, and reuse in multiple contexts. A common AntiPattern in session design, especially among inexperienced EJB designers, is to aggregate a lot of methods into a single bloated session that implements many methods against several different core business entities. These sessions do not represent well-defined abstractions, and are difficult to understand and use, because there are so many methods to review, and it is difficult knowing which subsets of methods should be used with each other to support a particular abstraction or process.

to be something for light to travel through. Despite its amazing constitution, light was still a wave, and a wave was a ripple in something, so the ether just had to be there as the something in which light rippled. Respected physicists like William Thompson went to elaborate lengths to describe what the ether might be like. Even James Clerk Maxwell, whose equations seemed to make the ether unnecessary, was sure that it was there. He merely thought that he had proved that the electrical and magnetic ethers were the same:

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tree was constructed, resulting in groupings that characterize car fuel ef ciency. The terminal nodes of the tree (A, B, and C) show a partitioning of cars into sets with good (node A), moderate (node B), and poor (node C) fuel ef ciencies. Each terminal node is a mutually exclusive set of observations, that is, there is no overlap between nodes A, B, or C. The criteria for inclusion in each of these nodes are de ned by the set of branch points used to partition the data. For example, terminal node B is de ned as observations where Cylinders are greater or equal to ve and Cylinders are less than seven. Decision trees can be used as both classi cation and regression prediction models. Decision trees that are built to predict a continuous response variable are called regression trees and decision trees built to predict a categorical response are called classi cation trees. During the learning phase, a decision tree is constructed as before using the training set. Predictions in decision trees are made using the criteria associated with the terminal nodes. A new observation is assigned to a terminal node in the tree using these splitting criteria. The prediction for the new observation is either the node classi cation (in the case of a classi cation tree) or the average value (in the case of a regression tree). In the same way as other prediction modeling approaches, the quality of the prediction can be assessed using a separate training set.

OBJECTIVES:

between the centralized content management system and the video cache streaming servers located in the regional head ends. There are no known vulnerabilities involving malformed MSDP packets. Forged or modified MSDP SA messages created by rogue senders or MITM attacks can be used to allow for unauthorized participation in a bogus multicast group for the purpose of acquiring content. System panic can be caused by a packet flood of MSDP packets (e.g. MSDP storms due to worm infection of the host). MSDP storms are the most common attacks seen on multicast networks to date (e.g. Ramen, Slammer/Sapphire, Sasser). They could cause the multicast routers located in the national or regional head ends to run out of memory and crash. Because MSDP is responsible for propagating information about all active sources, a bogus MSDP peer can generate a large number of bogus source active (SA) messages and send these to every single other MSDP peer. This kind of simple attack can have widespread negative consequences, resulting in DOS. Malformed MSDP packets received by multicast routers could cause buffer overflow or cause the multicast router to stop responding. A traffic flood on the content distribution network could consume all of the bandwidth on the network, preventing legitimate traffic from getting through. Forged or modified MSDP packets by an attacker could cause the content management system, video cache streaming server(s) or gaming server(s) to join the wrong group, which would result in the suppression or deflection of traffic.

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