Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Expert Databases are environments that support the processing of rule programs against a disk resident database. They occupy a position intermediate beten active and deductive databases, with respect to the level of abstraction of the underlying rule language. The operational semantics of the rule language influences the problem solving strategy, while the architecture of the processing environment determines efficiency and scalability.  ,  present elements of the PARADISER architecture and its kernel rule language, PARULEL. The PARADISER environment provides support for parallel and distributed evaluation of rule programs, as ll as static and dynamic load balancing protocols that predictively balance a computation at runtime. This combination of features results in a scalable database rule and complex query processing architecture.  validate our claims by analyzing the performance of the system for two realistic test cases. In particular,  show how the performance of a parallel implementation of transitive closure is significantly improved by predictive dynamic load balancing.
['Hasanat M. Dewan', 'Salvatore J. Stolfo', 'Mauricio A. Hernández', 'Jae-Jun Hwang']
I am writing a research paper on a idea Predictive dynamic load balancing of parallel and distributed rule and query processing
[{"from": "human", "value": "I am writing a research paper on a idea Predictive dynamic load balancing of parallel and distributed rule and query processing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Expert Databases are environments that support the processing of rule programs against a disk resident database. They occupy a position intermediate beten active and deductive databases, with respect to the level of abstraction of the underlying rule language. The operational semantics of the rule language influences the problem solving strategy, while the architecture of the processing environment determines efficiency and scalability.  ,  present elements of the PARADISER architecture and its kernel rule language, PARULEL. The PARADISER environment provides support for parallel and distributed evaluation of rule programs, as ll as static and dynamic load balancing protocols that predictively balance a computation at runtime. This combination of features results in a scalable database rule and complex query processing architecture.  validate our claims by analyzing the performance of the system for two realistic test cases. In particular,  show how the performance of a parallel implementation of transitive closure is significantly improved by predictive dynamic load balancing."}]