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We call this the Factory interface, and a service that implements this interface a factory The Factory interface s CreateService operation creates a requested Grid service and returns the GSH and initial GSR for the new service instance The Factory interface does not specify how the service instance is created One common scenario is for the Factory interface to be implemented in some form of hosting environment (such as NET or J2EE) that provides standard mechanisms for creating (and subsequently managing) new service instances The hosting environment may de ne how services are implemented (eg, language), but this is transparent to service requestors in OGSA, which see only the Factory interface Alternatively, one can construct higherlevel factories that create services by delegating the request to other factory services (see Section 844).

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For example, in a Web serving environment, a new computer might be integrated into the active pool by asking an appropriate factory service to instantiate a Web serving service on an idle computer 863 Service lifetime management The introduction of transient service instances raises the issue of determining the service s lifetime: that is, determining when a service can or should be terminated so that associated resources can be recovered In normal operating conditions, a transient service instance is created to perform a speci c task and terminates either on completion of this task or via an explicit request from the requestor or from another service designated by the requestor In distributed systems, however, components may fail and messages may be lost One result is that a service may never see an expected explicit termination request, thus causing it to consume resources inde nitely.

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OGSA addresses this problem through a soft-state approach [21, 40] in which Grid service instances are created with a speci ed lifetime The initial lifetime can be extended by a speci ed time period by explicit request of the client or another Grid service acting on the client s behalf (subject of course to the policy of the service) If that time period expires without having received a reaf rmation of interest from a client, either the hosting environment or the service instance itself is at liberty to terminate the service instance and release any associated resources Our approach to Grid service lifetime management has two desirable properties:.

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Showing that the bakery algorithm sat,isfies mutual exclusion is now trivial. If two processes Pi and Pk are in critical section, then from (A2) we know that both of their numbers are nonzero. From ( A l ) it, follows t,hat (number[i], < (nunzberlk], ) i) k and vice versa. which a contradiction. The bakery algorithm also satisfies starvation freedom because any process that is waiting to enter the critical section will eventually have the smallest nonzero number. This process will then succeed in entering the critical section. It can be shown that the bakery algorithm does not make any assumptions on atomicity of any read or write operation. Note that the bakery a1gorit)hm does not use any variable t,hat can be written by more than one process. Process Pi writes only on variables nurnber[i]and choose[i]. There are two main disadvantages of the bakery algorithm: (1) it requires O ( N ) work by each process to obtain the lock even if there is no contention, and (2) it requires each process t o use timestamps that are unbounded in size.

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