CASSANDRA+: A SYSTEM FOR DOING QUERY-DRIVEN SIMULATIONS

A Query-Driven Simulation system Cassandra+ is described that allows end-users to ask queries about outcomes of running simulation models written in various simulation languages. The architecture of Cassandra+, its query language SimQL, and the implementation of the system are described. It is argued that Query-Driven Simulations provide a more declarative, flexible, and interactive approach to asking questions about simulation outcomes than the traditional approaches of letting the end-users run simulations and gather statistics on the trace files being produced.Information Systems Working Papers Serie

A QUERY-DRIVEN APPROACH TO SIMULATIONS

This paper describes a Query-Driven Simulation (QDS) approach to asking questions about outcomes of business processes. In this approach a user issues a query about outcomes of simulation runs and, based on the query asked, appropriate simulations are launched and the answer to the query is determined from the outcomes of these simulations. It is argued that Query-Driven Simulations provide a more declarative, flexible, and interactive approach to asking questions about simulation outcomes than the traditional approaches of letting the end-users run simulations and gather statistics about simulation outcomes. The paper also presents a new simulation system development lifecycle based on the QDS approach.Information Systems Working Papers Serie

CASSANDRA+: A SYSTEM FOR DOING QUERY-DRIVEN SIMULATIONS

A Query-Driven Simulation system Cassandra+ is described that allows end-users to ask queries about outcomes of running simulation models written in various simulation languages. The architecture of Cassandra+, its query language SimQL, and the implementation of the system are described. It is argued that Query-Driven Simulations provide a more declarative, flexible, and interactive approach to asking questions about simulation outcomes than the traditional approaches of letting the end-users run simulations and gather statistics on the trace files being produced.Information Systems Working Papers Serie

USING QUERY-DRIVEN SIMULATIONS FOR QUERYING OUTCOMES OF BUSINESS PROCESSES

When decision makers want to know outcomes of business processes in their organizations, they often use simulations to do this. This paper describes how a new Query-Driven Simulation (QDS) approach can be used by decision makers to obtain information about future outcomes of business processes in a more declarative, flexible, and interactive way than the traditional approach of running simulations and then gathering statistics about simulation outcomes. The paper also describes the types of questions decision makers ask about outcomes of business processes and studies how easy it is to express these questions in terms of an SQL-like query language SimQL designed for Query-Driven Simulations. It also identifies the types of applications that are especially well-suited for QDS. Finally, the paper describes the Query-Driven Simulation Modeling Lifecycle and how QDS provides a feedback loop in the model development process.Information Systems Working Papers Serie

USING QUERY-DRIVEN SIMULATIONS FOR QUERYING OUTCOMES OF BUSINESS PROCESSES

When decision makers want to know outcomes of business processes in their organizations, they often use simulations to do this. This paper describes how a new Query-Driven Simulation (QDS) approach can be used by decision makers to obtain information about future outcomes of business processes in a more declarative, flexible, and interactive way than the traditional approach of running simulations and then gathering statistics about simulation outcomes. The paper also describes the types of questions decision makers ask about outcomes of business processes and studies how easy it is to express these questions in terms of an SQL-like query language SimQL designed for Query-Driven Simulations. It also identifies the types of applications that are especially well-suited for QDS. Finally, the paper describes the Query-Driven Simulation Modeling Lifecycle and how QDS provides a feedback loop in the model development process.Information Systems Working Papers Serie