Aggregated Boolean Query Processing for Document Retrieval in Edge Computing

Search engines use significant hardware and energy resources to process billions of user queries per day, where Boolean query processing for document retrieval is an essential ingredient. Considering the huge number users large scale network, traditional mechanisms may not be applicable since they mostly depend on a centralized method. To remedy this issue, paper proposes technique aggregated in context edge computing, each sub-region network corresponds regulated by server, are evaluated distributed fashion servers. This decentralized has demonstrated its efficiency applicability problem. Experimental results two real-world datasets show that achieves high performance outperforms methods 2–3 times.