FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293279793> ?p ?o ?g. }

• W4293279793 endingPage "11" @default.
• W4293279793 startingPage "1" @default.
• W4293279793 abstract "Big data entails massive cloud resources for data processing and analysis, which consumes more energy to run. The resources and tasks are increasing exponentially in the cloud environment for the processing of big data, which results in an increment in power consumption to run the cloud data center. So, there is always a scope for optimizing the energy utilization in cloud data centers. This paper presents a visionary architecture in a cloud environment for big data with a proposed energy-efficient strategy based on LSTM-DQN (long-short-term memory-deep Q network) using reinforcement learning (RL). The traditional techniques are not so efficient when the tasks are allocated dynamically, and the generic RL strategies are not able to store the data iterated in the last cycles of processing, so the LSTM is considered for this purpose. In the proposed model, integration of DPSO and DQN is used for better estimation and rectification of the curse of dimensionality. The proposed strategy is compared with different variants of PSO (particle swarm optimization) such as DPSO and QoS-PSO. The improvement in results through proposed model is recoded over the algorithm such as load aware (8.01%), DQN (13.36%), EA-DQN (34.16%), L-No-DEAF (15.62%), DPSO (62.68%), QoS-PSO (72.69%), FFO-EVSM (75.42%), and MIMT (76.39%) on the parameter of energy efficiency, tasks completion time, and energy consumption over the timeline. So, the proposed model is encouraging in the energy-efficient cloud environment for big data with the challenges that the technological world is facing and the emergence of deep learning as one propitious field." @default.
• W4293279793 created "2022-08-27" @default.
• W4293279793 creator A5009046975 @default.
• W4293279793 creator A5012547473 @default.
• W4293279793 creator A5014860204 @default.
• W4293279793 creator A5031271088 @default.
• W4293279793 creator A5033912893 @default.
• W4293279793 creator A5080533962 @default.
• W4293279793 date "2022-08-11" @default.
• W4293279793 modified "2023-09-26" @default.
• W4293279793 title "Energy Efficiency Strategy for Big Data in Cloud Environment Using Deep Reinforcement Learning" @default.
• W4293279793 cites W1515614712 @default.
• W4293279793 cites W1568214598 @default.
• W4293279793 cites W1925204908 @default.
• W4293279793 cites W2024799917 @default.
• W4293279793 cites W2149140091 @default.
• W4293279793 cites W2253173666 @default.
• W4293279793 cites W2600237031 @default.
• W4293279793 cites W2774800202 @default.
• W4293279793 cites W2783409338 @default.
• W4293279793 cites W2798741797 @default.
• W4293279793 cites W2802667170 @default.
• W4293279793 cites W2809044511 @default.
• W4293279793 cites W2851456136 @default.
• W4293279793 cites W2883668652 @default.
• W4293279793 cites W2897536843 @default.
• W4293279793 cites W2904821893 @default.
• W4293279793 cites W2940198804 @default.
• W4293279793 cites W2994270777 @default.
• W4293279793 cites W3000313095 @default.
• W4293279793 cites W3013610387 @default.
• W4293279793 cites W3066907903 @default.
• W4293279793 cites W3091177213 @default.
• W4293279793 cites W3091853547 @default.
• W4293279793 cites W3092280114 @default.
• W4293279793 cites W3093280045 @default.
• W4293279793 cites W3117152523 @default.
• W4293279793 cites W3123895149 @default.
• W4293279793 cites W3135664775 @default.
• W4293279793 cites W3178392789 @default.
• W4293279793 cites W3191024168 @default.
• W4293279793 cites W4233239214 @default.
• W4293279793 doi "https://doi.org/10.1155/2022/8716132" @default.
• W4293279793 hasPublicationYear "2022" @default.
• W4293279793 type Work @default.
• W4293279793 citedByCount "3" @default.
• W4293279793 countsByYear W42932797932022 @default.
• W4293279793 countsByYear W42932797932023 @default.
• W4293279793 crossrefType "journal-article" @default.
• W4293279793 hasAuthorship W4293279793A5009046975 @default.
• W4293279793 hasAuthorship W4293279793A5012547473 @default.
• W4293279793 hasAuthorship W4293279793A5014860204 @default.
• W4293279793 hasAuthorship W4293279793A5031271088 @default.
• W4293279793 hasAuthorship W4293279793A5033912893 @default.
• W4293279793 hasAuthorship W4293279793A5080533962 @default.
• W4293279793 hasBestOaLocation W42932797931 @default.
• W4293279793 hasConcept C111919701 @default.
• W4293279793 hasConcept C119599485 @default.
• W4293279793 hasConcept C119857082 @default.
• W4293279793 hasConcept C120314980 @default.
• W4293279793 hasConcept C124101348 @default.
• W4293279793 hasConcept C127413603 @default.
• W4293279793 hasConcept C136764020 @default.
• W4293279793 hasConcept C154945302 @default.
• W4293279793 hasConcept C18903297 @default.
• W4293279793 hasConcept C2742236 @default.
• W4293279793 hasConcept C2780165032 @default.
• W4293279793 hasConcept C2780490138 @default.
• W4293279793 hasConcept C2986087404 @default.
• W4293279793 hasConcept C41008148 @default.
• W4293279793 hasConcept C75684735 @default.
• W4293279793 hasConcept C79974875 @default.
• W4293279793 hasConcept C85617194 @default.
• W4293279793 hasConcept C86803240 @default.
• W4293279793 hasConcept C97541855 @default.
• W4293279793 hasConceptScore W4293279793C111919701 @default.
• W4293279793 hasConceptScore W4293279793C119599485 @default.
• W4293279793 hasConceptScore W4293279793C119857082 @default.
• W4293279793 hasConceptScore W4293279793C120314980 @default.
• W4293279793 hasConceptScore W4293279793C124101348 @default.
• W4293279793 hasConceptScore W4293279793C127413603 @default.
• W4293279793 hasConceptScore W4293279793C136764020 @default.
• W4293279793 hasConceptScore W4293279793C154945302 @default.
• W4293279793 hasConceptScore W4293279793C18903297 @default.
• W4293279793 hasConceptScore W4293279793C2742236 @default.
• W4293279793 hasConceptScore W4293279793C2780165032 @default.
• W4293279793 hasConceptScore W4293279793C2780490138 @default.
• W4293279793 hasConceptScore W4293279793C2986087404 @default.
• W4293279793 hasConceptScore W4293279793C41008148 @default.
• W4293279793 hasConceptScore W4293279793C75684735 @default.
• W4293279793 hasConceptScore W4293279793C79974875 @default.
• W4293279793 hasConceptScore W4293279793C85617194 @default.
• W4293279793 hasConceptScore W4293279793C86803240 @default.
• W4293279793 hasConceptScore W4293279793C97541855 @default.
• W4293279793 hasLocation W42932797931 @default.
• W4293279793 hasOpenAccess W4293279793 @default.
• W4293279793 hasPrimaryLocation W42932797931 @default.
• W4293279793 hasRelatedWork W1697832939 @default.

• next