On maximizing service-level-agreement profits
ACM SIGMETRICS Performance Evaluation Review
A Formal Model of Human Workflow
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
CRBAC: Imposing multi-grained constraints on the RBAC model in the multi-application environment
Journal of Network and Computer Applications
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
Satisfiability and Resiliency in Workflow Authorization Systems
ACM Transactions on Information and System Security (TISSEC)
Optimizing Resource Conflicts in Workflow Management Systems
IEEE Transactions on Knowledge and Data Engineering
Online scheduling of workflow applications in grid environments
Future Generation Computer Systems
Modelling Workflow Executions under Role-Based Authorisation Control
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Optimizing Resource Consumptions in Clouds
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
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Automating the execution of workflows (or business processes) on computer resources has been the subject of much research. However, many workflow scenarios still require human involvement, which introduces additional authorization concerns. Role-Based Authorization Control (RBAC), under which the users are assigned to certain roles while the roles are associated with prescribed permissions, is a popular authorisation control scheme. When we allocate resources for workloads and plan system capacities, it is often assumed that when a task is allocated to a resource, the resource will accept the task and start the execution once the processor becomes available. However, the authorization policies impose further constraints on task executions, and therefore may incur performance penalty and affect both application- and system-oriented performance. This paper investigates the issue of allocating resources for running workflows under the role-based authorization control. The resource allocation strategies are developed in this paper for both human resources and computing resources. The allocation strategy for human resources takes into account the authorization constraints and establishes the optimization equation subject to the constraint of the budget available to hire human resources. Then the optimization equation is solved to obtain the number of human resources allocated to each authorization role. The allocation strategy for computing resources also takes into account authorization constraints, calculating not only the number of computing resources, but also the proportion of processing capacity in each resource allocated to serve the tasks assuming each role. The simulation experiments have been conducted to verify the effectiveness of the developed allocation strategies. The experimental results show that the allocation strategy developed in this paper outperforms the traditional allocation strategies, which do not consider authorization constraints, in terms of both average response time and resource utilization.