FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3149125616> ?p ?o ?g. }

• W3149125616 endingPage "1062" @default.
• W3149125616 startingPage "1049" @default.
• W3149125616 abstract "Cloud gaming has been very popular in recent years, but issues relating to maintaining low interaction delay to guarantee satisfactory user experience are still prevalent. We observe that the server-side processing delay in cloud gaming system could be heavily influenced by how the resources are partitioned among processes. However, finding the optimal partitioning policy that minimizes the response delay faces several critical challenges. First, fine-grained resource partitioning is non-trivial due to the limitations of hardwre-based resource isolation techniques. Second, game wokload is highly dynamic and unpredictable, making the design of efficient resource partitioning policy more challenging. In this article, we propose an online resource partitioning framework for reducing response delay in cloud gaming, which has several promising properties. First, we divide the processes into disjoint groups and partition resources among process groups, which greatly simplifies the resource partitioning problem while ensuring high partitioning effectiveness. Second, to tackle dynamic workload changes, we classify game workloads into several clusters and maintain separate process grouping plan for each cluster. Third, we leverage reinforcement learning to adaptively choose the best actions for minimizing response delay in real time. We evaluate the proposed framework in a real cloud gaming environment using several real games. The experimental results show that our approach can reduce the response delay by 22 to 41 percent compared to a system without resource partitioning, and outperforms other resource partitioning policies significantly." @default.
• W3149125616 created "2021-04-13" @default.
• W3149125616 creator A5010031092 @default.
• W3149125616 creator A5022769703 @default.
• W3149125616 creator A5026498734 @default.
• W3149125616 creator A5030921116 @default.
• W3149125616 creator A5045819980 @default.
• W3149125616 creator A5053568911 @default.
• W3149125616 creator A5058703340 @default.
• W3149125616 date "2022-05-01" @default.
• W3149125616 modified "2023-10-17" @default.
• W3149125616 title "Reinforcement Learning-Based Resource Partitioning for Improving Responsiveness in Cloud Gaming" @default.
• W3149125616 cites W1564758953 @default.
• W3149125616 cites W1968514937 @default.
• W3149125616 cites W1974657716 @default.
• W3149125616 cites W1977556410 @default.
• W3149125616 cites W1980419087 @default.
• W3149125616 cites W2012972371 @default.
• W3149125616 cites W2039556965 @default.
• W3149125616 cites W2045033465 @default.
• W3149125616 cites W2065266960 @default.
• W3149125616 cites W2066286382 @default.
• W3149125616 cites W2066443259 @default.
• W3149125616 cites W2093375846 @default.
• W3149125616 cites W2095900167 @default.
• W3149125616 cites W2143773524 @default.
• W3149125616 cites W2156077332 @default.
• W3149125616 cites W2160121678 @default.
• W3149125616 cites W2187064181 @default.
• W3149125616 cites W2187895331 @default.
• W3149125616 cites W2304765993 @default.
• W3149125616 cites W2463123097 @default.
• W3149125616 cites W2517292986 @default.
• W3149125616 cites W2612625122 @default.
• W3149125616 cites W2795035377 @default.
• W3149125616 cites W2798747284 @default.
• W3149125616 cites W2799171747 @default.
• W3149125616 cites W2896941166 @default.
• W3149125616 cites W2926143647 @default.
• W3149125616 cites W2928288784 @default.
• W3149125616 cites W2934426651 @default.
• W3149125616 cites W2963335996 @default.
• W3149125616 cites W2964293511 @default.
• W3149125616 cites W2982250164 @default.
• W3149125616 cites W4232783243 @default.
• W3149125616 doi "https://doi.org/10.1109/tc.2021.3070879" @default.
• W3149125616 hasPublicationYear "2022" @default.
• W3149125616 type Work @default.
• W3149125616 sameAs 3149125616 @default.
• W3149125616 citedByCount "5" @default.
• W3149125616 countsByYear W31491256162022 @default.
• W3149125616 countsByYear W31491256162023 @default.
• W3149125616 crossrefType "journal-article" @default.
• W3149125616 hasAuthorship W3149125616A5010031092 @default.
• W3149125616 hasAuthorship W3149125616A5022769703 @default.
• W3149125616 hasAuthorship W3149125616A5026498734 @default.
• W3149125616 hasAuthorship W3149125616A5030921116 @default.
• W3149125616 hasAuthorship W3149125616A5045819980 @default.
• W3149125616 hasAuthorship W3149125616A5053568911 @default.
• W3149125616 hasAuthorship W3149125616A5058703340 @default.
• W3149125616 hasConcept C111919701 @default.
• W3149125616 hasConcept C11413529 @default.
• W3149125616 hasConcept C114614502 @default.
• W3149125616 hasConcept C119857082 @default.
• W3149125616 hasConcept C120314980 @default.
• W3149125616 hasConcept C13670688 @default.
• W3149125616 hasConcept C153083717 @default.
• W3149125616 hasConcept C19012869 @default.
• W3149125616 hasConcept C206345919 @default.
• W3149125616 hasConcept C2778476105 @default.
• W3149125616 hasConcept C29202148 @default.
• W3149125616 hasConcept C31258907 @default.
• W3149125616 hasConcept C33923547 @default.
• W3149125616 hasConcept C41008148 @default.
• W3149125616 hasConcept C42812 @default.
• W3149125616 hasConcept C79974875 @default.
• W3149125616 hasConcept C97541855 @default.
• W3149125616 hasConceptScore W3149125616C111919701 @default.
• W3149125616 hasConceptScore W3149125616C11413529 @default.
• W3149125616 hasConceptScore W3149125616C114614502 @default.
• W3149125616 hasConceptScore W3149125616C119857082 @default.
• W3149125616 hasConceptScore W3149125616C120314980 @default.
• W3149125616 hasConceptScore W3149125616C13670688 @default.
• W3149125616 hasConceptScore W3149125616C153083717 @default.
• W3149125616 hasConceptScore W3149125616C19012869 @default.
• W3149125616 hasConceptScore W3149125616C206345919 @default.
• W3149125616 hasConceptScore W3149125616C2778476105 @default.
• W3149125616 hasConceptScore W3149125616C29202148 @default.
• W3149125616 hasConceptScore W3149125616C31258907 @default.
• W3149125616 hasConceptScore W3149125616C33923547 @default.
• W3149125616 hasConceptScore W3149125616C41008148 @default.
• W3149125616 hasConceptScore W3149125616C42812 @default.
• W3149125616 hasConceptScore W3149125616C79974875 @default.
• W3149125616 hasConceptScore W3149125616C97541855 @default.
• W3149125616 hasFunder F4320321001 @default.
• W3149125616 hasIssue "5" @default.
• W3149125616 hasLocation W31491256161 @default.
• W3149125616 hasOpenAccess W3149125616 @default.

• next