FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2908027845> ?p ?o ?g. }

• W2908027845 endingPage "1253" @default.
• W2908027845 startingPage "1236" @default.
• W2908027845 abstract "The value that can be extracted from big data greatly motivates users to explore data analytics technologies for better decision making and problem solving in various application domains. Analytical solutions can be expensive due to the demand for large-scale and high-performance computing resources. To provision online big data Analytics-as-a-Service (AaaS) to users in various domains, a general purpose AaaS platform is required to deliver on-demand services at low cost and in an easy to use manner. Our research focuses on proposing efficient and automatic admission control and resource scheduling algorithms for AaaS platforms in cloud environments. In this paper, we propose scalable and automatic admission control and profit optimization resource scheduling algorithms, which effectively admit data analytics requests, dynamically provision resources, and maximize profit for AaaS providers, while satisfying QoS requirements of queries with Service Level Agreement (SLA) guarantees. Moreover, the proposed algorithms enable users to trade-off accuracy for faster response times and less resource costs for query processing on large datasets. We evaluate the algorithm performance by adopting a data splitting method to process smaller data samples as representatives of the original big datasets. We conduct extensive experiments to evaluate the proposed admission control and profit optimization scheduling algorithms. Experimental evaluation shows the algorithms perform significantly better compared to the state-of-the-art algorithms in enhancing profits, reducing resource costs, increasing query admission rates, and decreasing query response times." @default.
• W2908027845 created "2019-01-11" @default.
• W2908027845 creator A5002386793 @default.
• W2908027845 creator A5014363196 @default.
• W2908027845 creator A5016459775 @default.
• W2908027845 creator A5031013029 @default.
• W2908027845 creator A5067980220 @default.
• W2908027845 date "2021-07-01" @default.
• W2908027845 modified "2023-10-18" @default.
• W2908027845 title "SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments" @default.
• W2908027845 cites W1625108039 @default.
• W2908027845 cites W1738767047 @default.
• W2908027845 cites W1974931822 @default.
• W2908027845 cites W1980764417 @default.
• W2908027845 cites W1985520732 @default.
• W2908027845 cites W1991527372 @default.
• W2908027845 cites W1997046042 @default.
• W2908027845 cites W1999049191 @default.
• W2908027845 cites W2010658059 @default.
• W2908027845 cites W2030792561 @default.
• W2908027845 cites W2030896690 @default.
• W2908027845 cites W2042128496 @default.
• W2908027845 cites W2045287414 @default.
• W2908027845 cites W2047095174 @default.
• W2908027845 cites W2057279099 @default.
• W2908027845 cites W2059521481 @default.
• W2908027845 cites W2071989194 @default.
• W2908027845 cites W2076684951 @default.
• W2908027845 cites W2078199441 @default.
• W2908027845 cites W2086395677 @default.
• W2908027845 cites W2091765165 @default.
• W2908027845 cites W2095178757 @default.
• W2908027845 cites W2097484305 @default.
• W2908027845 cites W2102849319 @default.
• W2908027845 cites W2110086534 @default.
• W2908027845 cites W2112278680 @default.
• W2908027845 cites W2113818210 @default.
• W2908027845 cites W2119558533 @default.
• W2908027845 cites W2119738171 @default.
• W2908027845 cites W2125262761 @default.
• W2908027845 cites W2131545101 @default.
• W2908027845 cites W2144461192 @default.
• W2908027845 cites W2149140091 @default.
• W2908027845 cites W2295702196 @default.
• W2908027845 cites W2414950715 @default.
• W2908027845 cites W2527308207 @default.
• W2908027845 cites W2532324861 @default.
• W2908027845 cites W2584029780 @default.
• W2908027845 doi "https://doi.org/10.1109/tcc.2018.2889956" @default.
• W2908027845 hasPublicationYear "2021" @default.
• W2908027845 type Work @default.
• W2908027845 sameAs 2908027845 @default.
• W2908027845 citedByCount "21" @default.
• W2908027845 countsByYear W29080278452019 @default.
• W2908027845 countsByYear W29080278452020 @default.
• W2908027845 countsByYear W29080278452021 @default.
• W2908027845 countsByYear W29080278452022 @default.
• W2908027845 countsByYear W29080278452023 @default.
• W2908027845 crossrefType "journal-article" @default.
• W2908027845 hasAuthorship W2908027845A5002386793 @default.
• W2908027845 hasAuthorship W2908027845A5014363196 @default.
• W2908027845 hasAuthorship W2908027845A5016459775 @default.
• W2908027845 hasAuthorship W2908027845A5031013029 @default.
• W2908027845 hasAuthorship W2908027845A5067980220 @default.
• W2908027845 hasConcept C111919701 @default.
• W2908027845 hasConcept C116537 @default.
• W2908027845 hasConcept C120314980 @default.
• W2908027845 hasConcept C124101348 @default.
• W2908027845 hasConcept C126255220 @default.
• W2908027845 hasConcept C136264566 @default.
• W2908027845 hasConcept C162324750 @default.
• W2908027845 hasConcept C175444787 @default.
• W2908027845 hasConcept C175801342 @default.
• W2908027845 hasConcept C181622380 @default.
• W2908027845 hasConcept C206729178 @default.
• W2908027845 hasConcept C2522767166 @default.
• W2908027845 hasConcept C2778160497 @default.
• W2908027845 hasConcept C2780378061 @default.
• W2908027845 hasConcept C33923547 @default.
• W2908027845 hasConcept C41008148 @default.
• W2908027845 hasConcept C48044578 @default.
• W2908027845 hasConcept C75684735 @default.
• W2908027845 hasConcept C77088390 @default.
• W2908027845 hasConcept C79158427 @default.
• W2908027845 hasConcept C79974875 @default.
• W2908027845 hasConceptScore W2908027845C111919701 @default.
• W2908027845 hasConceptScore W2908027845C116537 @default.
• W2908027845 hasConceptScore W2908027845C120314980 @default.
• W2908027845 hasConceptScore W2908027845C124101348 @default.
• W2908027845 hasConceptScore W2908027845C126255220 @default.
• W2908027845 hasConceptScore W2908027845C136264566 @default.
• W2908027845 hasConceptScore W2908027845C162324750 @default.
• W2908027845 hasConceptScore W2908027845C175444787 @default.
• W2908027845 hasConceptScore W2908027845C175801342 @default.
• W2908027845 hasConceptScore W2908027845C181622380 @default.
• W2908027845 hasConceptScore W2908027845C206729178 @default.
• W2908027845 hasConceptScore W2908027845C2522767166 @default.
• W2908027845 hasConceptScore W2908027845C2778160497 @default.

• next