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3632 Centralized/decentralized architecture This speci c section is devoted to this issue because the most fundamental decision that is made when de ning a group architecture is whether the system is centralized or decentralized A centralized decision con guration (with a minimal distributed supervision) is compatible (at least) and even complementary with a con guration endowed with fully distributed decision capabilities Aspects related to the decision can be developed either within a central decisional component or between several distributed components (eg possibly the different robots within the system) However, several trade-offs should be considered regarding the decision: Knowledge s scope and accessibility: a preliminary requirement, to enable decisional aspects within a central component, is to permanently ensure the availability of (relevant) up-to-date knowledge within this central component.

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It requires the centralization of any decisional-related knowledge from any component of the system, and to have them updated permanently However, assuming that this requirement can be ful lled, it can perform more informed decisions, and hence manage the mission operations in a more ef cient way Regarding distributed decision, the local scope of the available knowledge is a double-edged issue: as the only available knowledge is the knowledge related to the considered component (or close to the considered component), this knowledge is usually far more easy to access and to refresh On the other hand, local and partial knowledge leads to decisions that may turn out to be incoherent regarding the whole system Computational power and scalability: in a multi-robot system, the amount of data to process is quite huge: the processing of this knowledge in a centralized way obviously requires powerful computational means.

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Moreover, such a centralized computation reaches its limits when the number of robots increases: a centralized system cannot be scalable to any number of robots In contrast, a distributed approach within a multi-robot system can stay available when the number of robots increases, since the complexity remains bounded: each robot still only deals with a local partial knowledge of the system that leads us to manipulate local information The respective disadvantages of each approach can be mitigated by constraining or extending their framework A centralized approach will be relevant if: the computational capabilities are compatible with the amount of information to process; the exchange of data meets both the requirements of speed (up-to-date data) and expressivity (quality of information enabling well-informed decision-making).

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Code the getRollbackOnly method to test if the transaction has been marked for rollback only. An enterprise bean instance can use this operation to test, after an exception has been caught, whether it is fruitless to continue computation on behalf of the current transaction. Code the setRollbackOnly method to mark the current transaction for rollback and the transaction will become permanently marked for rollback. A transaction marked for rollback can never commit, by the way. Typically, an enterprise bean marks a transaction for rollback to protect data integrity before throwing an application exception because application exceptions do not automatically cause the container to roll back the transaction. As you'll learn in 17, "EJB and Transaction Management," you can defer many of the details of transaction management to the container. Beans that have their transaction state managed by the container are called (surprise) container-managed transaction beans. Those beans that contain code to manage the nuts and bolts of transactions

As a consequence, one way to help to satisfy these two points is to reduce the complexity of the data exchanged to a minimal level, still satisfying the decisionmaking but without overloading communications This can be achieved by designing a.

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