Optimizing the Execution Time of the SLA-Based Workflow in the Grid with Parallel Processing Technology

Service Level Agreements (SLAs) is currently one of the major research topics in Grid Computing. Among many system components for the supporting of SLA-aware Gridbased workflow, the SLA mapping module receives important positions. Optimizing execution time is an important task of the mapping module as it helps in finding out a feasible solution when the Grid is busy or by eliminating the negative effects of the error. With the previously proposed algorithm for optimizing the execution time of the workflow, the mapping module may, when many requests come in a short period of time, become the bottleneck of the system. This paper presents a parallel mapping algorithm for optimizing the execution time of the workflow, which can cope with the problem. Performance measurements deliver evaluation results on the quality of the method

Mapping Light Communication SLA-Based Workflows onto Grid Resources with Parallel Processing Technology

Service Level Agreements (SLAs) are currently one of the major research topics in Grid Computing. Amongmany system components for supporting of SLA-aware Grid-based workflows, the SLA mapping module receives an important position. Mapping light communication workflows is one main part of the mapping module. With the previously proposed mapping algorithm, the mapping module may become the bottleneck of the system when many requests come in a short period of time. This paper presents a parallel mapping algorithm for light communication SLA-based workflows, which can cope with the problem. Performance measurements deliver evaluation results on the quality of the method

Complex approach to service development

Modern companies including telecommunication companies and mobile operators working in the global environment should guarantee technological effectiveness and innovation, renewing their technologies and services. Operation Support System/Business Support System is used in telecommunication companies. In current state-of-the-art approaches, several iterations involving analysts and system architects are necessary, methodologies allow modeling non-functional or functional requirements but they do not take into account the interaction between functional and non-functional requirements as well as collaboration between services. Web Services Agreement is a convenient way to contain QoS parameters but state-of-the-art SLA-aware methods cannot support all classes of non-functional parameters and provide run-time support and dynamic reconfiguration at the same time. The approach proposed in this paper fills this gap. It employs a well-defined workflow and analysis model for developing and adapting complex software systems including support of all classes of non-functional parameters and providing run-time support and dynamic reconfiguration of provided services

Mapping Heavy Communication SLA-based Workflows onto Grid Resources with Parallel Processing Technology

Service Level Agreements (SLAs) are currently one of the major research topics in Grid Computing. Amongmany system components for supporting of SLA-aware Grid jobs, the SLA mapping module holds an important position and the capability of the mapping module depends on the runtime of the mapping algorithm. With the previously proposed mapping algorithm, the mapping module may develop into the bottleneck of the system if many requests come in during a short period of time. This paper presents a parallel mapping algorithm to map heavy communication SLA-based workflow onto Grid resources which can cope with the problem. Performance measurements thereby deliver evaluation results showing the quality of the method