A Research on Energy Efficient Multiple Query Optimization in WSN

Back in the last couple of decades, wireless sensor networks (WSNs) have researched different applications are as from personalized, marketplace, armed forces, agriculture, and environment tracking into Web Things (IoT). The detector node's battery ability gets an essential issue if it isn't feasible to recharge or replace battery life. Inside this newspaper, we've reported that an extensive evaluate on hierarchical routing protocols predicated on single/multi-hop communicating and also for homogenous/heterogeneous WSNs together with a contrast of unique present protocols has been completed about the grounds of several elements which are energy intake, finishing delay, and load balancing, system equilibrium and scalability. A few facets which help determine the creation and the plan of navigation protocols may also be talked about. Some benefits and pitfalls of every protocol have were all appreciated

Multiple Decisional Query Optimization in Big Data Warehouse

Data warehousing (DW) area has always motivated a plethora of hard optimization problem that cannot be solved in polynomial time. Those optimization problems are more complex and interesting when it comes to multiple OLAP queries. In this article, the authors explore the potential of distributed environment for an established data warehouse, database-related optimization problem, the problem of Multiple Query Optimization (MQO). In traditional DW materializing views is an optimization technic to solve such problem by storing pre-computed join or frequently asked queries. In this era of big data this kind of view materialization is not suitable due to the data size. In this article, the authors tackle the problem of MQO on distributed DW by using a multiple, small, shared and easy to maintain shared data. The evaluation shows that, compared to available default execution engine, the authors' approach consumes on average 20% less memory in the Map-scan task and it is 12% faster regarding the execution time of interactive and reporting queries from TPC-DS.