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In this paper a new model for a distributed Web service system is presented. The proposed system is composed of multiple Web service components having multiple alternative versions distributed among multiple servers. For a given set of requests an allocation is to be found that maximizes total client satisfaction subject to the resource constraints of the servers. To solve this multidimensional multi...
The repair of faulty processes (workflows, web service compositions) needs information about the state of the involved Web services. We introduce an architecture where (Web service based) activities and their instances are treated as manageable resources. Based on the WAMO Model our activities provide detailed information about the state they currently hold, possible states they can reach, as well...
The success of all kinds of commercial applications or scientific computing running on heterogeneous computing environments is absolutely dependent on the availability and reliability of resources composing the environment. In order to support the major Monitor/Analyze/Plan/Execute management activities for resources, Web service based WS-Management rather than SNMP is drawing more and more attention...
Infrastructure-as-a-service (IaaS) providers are gaining popularity in the application hosting market. Virtual machines of different sizes (capacities for server resources such as CPU, main memory, etc.) are offered on-demand on an hourly, daily, weekly or monthly basis. Which offering minimizes the hosting costs depends on the sizes and respective prices, but also on the demand patterns of an application...
To access distributed computational resources and manage users' jobs is a key issue for grid framework to support large distributed computing environment. Web service grid resource management system (WSGRMS) is a scheduling system which provides an easy way to manage distributed computational resources and an efficient way to process a large number of user requests for computing. It's designed on...
A service provisioning system is examined, where a number of servers are used to offer different types of services to paying customers. A customer is charged for the execution of a stream of jobs; the number of jobs in the stream and the rate of their submission is specified. On the other hand, the provider promises a certain quality of service (QoS), measured by the average waiting time of the jobs...
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