Matches in SemOpenAlex for { <https://semopenalex.org/work/W2738335943> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2738335943 abstract "Failure in cloud system is defined as an even that occurs when the delivered service deviates from the correct intended service. As the cloud computing systems continue to grow in scale and complexity, there is an urgent need for cloud service providers (CSP) to guarantee a reliable on-demand resource to their customers in the presence of faults thereby fulfilling their service level agreement (SLA). Component failures in cloud systems are very familiar phenomena. However, large cloud service providers' data centers should be designed to provide a certain level of availability to the business system. Infrastructure-as-a-service (Iaas) cloud delivery model presents computational resources (CPU and memory), storage resources and networking capacity that ensures high availability in the presence of such failures. The data in-production-faults recorded within a 2 years period has been studied and analyzed from the National Energy Research Scientific computing center (NERSC). Using the real-time data collected from the Computer Failure Data Repository (CFDR), this paper presents the performance of two machine learning (ML) algorithms, Linear Regression (LR) Model and Support Vector Machine (SVM) with a Linear Gaussian kernel for predicting hardware failures in a real-time cloud environment to improve system availability. The performance of the two algorithms have been rigorously evaluated using K-folds cross-validation technique. Furthermore, steps and procedure for future studies has been presented. This research will aid computer hardware companies and cloud service providers (CSP) in designing a reliable fault-tolerant system by providing a better device selection, thereby improving system availability and minimizing unscheduled system downtime." @default.
- W2738335943 created "2017-07-31" @default.
- W2738335943 creator A5016979198 @default.
- W2738335943 creator A5019244863 @default.
- W2738335943 creator A5053458810 @default.
- W2738335943 creator A5053796883 @default.
- W2738335943 creator A5062402324 @default.
- W2738335943 creator A5083781406 @default.
- W2738335943 date "2017-08-01" @default.
- W2738335943 modified "2023-10-12" @default.
- W2738335943 title "An Approach to Failure Prediction in a Cloud Based Environment" @default.
- W2738335943 cites W1966332011 @default.
- W2738335943 cites W1982041753 @default.
- W2738335943 cites W1991269738 @default.
- W2738335943 cites W1993072051 @default.
- W2738335943 cites W2022334901 @default.
- W2738335943 cites W2024273674 @default.
- W2738335943 cites W2049008806 @default.
- W2738335943 cites W2054630915 @default.
- W2738335943 cites W2074623682 @default.
- W2738335943 cites W2100567107 @default.
- W2738335943 cites W2137737606 @default.
- W2738335943 cites W2142812297 @default.
- W2738335943 cites W2160821994 @default.
- W2738335943 cites W2164463086 @default.
- W2738335943 cites W2327221290 @default.
- W2738335943 cites W2478702624 @default.
- W2738335943 cites W2531282898 @default.
- W2738335943 cites W2605162773 @default.
- W2738335943 cites W2963330992 @default.
- W2738335943 cites W2073811925 @default.
- W2738335943 doi "https://doi.org/10.1109/ficloud.2017.56" @default.
- W2738335943 hasPublicationYear "2017" @default.
- W2738335943 type Work @default.
- W2738335943 sameAs 2738335943 @default.
- W2738335943 citedByCount "16" @default.
- W2738335943 countsByYear W27383359432018 @default.
- W2738335943 countsByYear W27383359432019 @default.
- W2738335943 countsByYear W27383359432020 @default.
- W2738335943 countsByYear W27383359432021 @default.
- W2738335943 countsByYear W27383359432022 @default.
- W2738335943 countsByYear W27383359432023 @default.
- W2738335943 crossrefType "proceedings-article" @default.
- W2738335943 hasAuthorship W2738335943A5016979198 @default.
- W2738335943 hasAuthorship W2738335943A5019244863 @default.
- W2738335943 hasAuthorship W2738335943A5053458810 @default.
- W2738335943 hasAuthorship W2738335943A5053796883 @default.
- W2738335943 hasAuthorship W2738335943A5062402324 @default.
- W2738335943 hasAuthorship W2738335943A5083781406 @default.
- W2738335943 hasBestOaLocation W27383359432 @default.
- W2738335943 hasConcept C111919701 @default.
- W2738335943 hasConcept C114614502 @default.
- W2738335943 hasConcept C116537 @default.
- W2738335943 hasConcept C120314980 @default.
- W2738335943 hasConcept C136264566 @default.
- W2738335943 hasConcept C153740404 @default.
- W2738335943 hasConcept C162324750 @default.
- W2738335943 hasConcept C2778160497 @default.
- W2738335943 hasConcept C2780378061 @default.
- W2738335943 hasConcept C33923547 @default.
- W2738335943 hasConcept C41008148 @default.
- W2738335943 hasConcept C63540848 @default.
- W2738335943 hasConcept C65813073 @default.
- W2738335943 hasConcept C74193536 @default.
- W2738335943 hasConcept C77088390 @default.
- W2738335943 hasConcept C79974875 @default.
- W2738335943 hasConceptScore W2738335943C111919701 @default.
- W2738335943 hasConceptScore W2738335943C114614502 @default.
- W2738335943 hasConceptScore W2738335943C116537 @default.
- W2738335943 hasConceptScore W2738335943C120314980 @default.
- W2738335943 hasConceptScore W2738335943C136264566 @default.
- W2738335943 hasConceptScore W2738335943C153740404 @default.
- W2738335943 hasConceptScore W2738335943C162324750 @default.
- W2738335943 hasConceptScore W2738335943C2778160497 @default.
- W2738335943 hasConceptScore W2738335943C2780378061 @default.
- W2738335943 hasConceptScore W2738335943C33923547 @default.
- W2738335943 hasConceptScore W2738335943C41008148 @default.
- W2738335943 hasConceptScore W2738335943C63540848 @default.
- W2738335943 hasConceptScore W2738335943C65813073 @default.
- W2738335943 hasConceptScore W2738335943C74193536 @default.
- W2738335943 hasConceptScore W2738335943C77088390 @default.
- W2738335943 hasConceptScore W2738335943C79974875 @default.
- W2738335943 hasLocation W27383359431 @default.
- W2738335943 hasLocation W27383359432 @default.
- W2738335943 hasOpenAccess W2738335943 @default.
- W2738335943 hasPrimaryLocation W27383359431 @default.
- W2738335943 hasRelatedWork W1561183558 @default.
- W2738335943 hasRelatedWork W2165816089 @default.
- W2738335943 hasRelatedWork W2169739900 @default.
- W2738335943 hasRelatedWork W2267601986 @default.
- W2738335943 hasRelatedWork W2551328538 @default.
- W2738335943 hasRelatedWork W2798934447 @default.
- W2738335943 hasRelatedWork W3102446781 @default.
- W2738335943 hasRelatedWork W4214598456 @default.
- W2738335943 hasRelatedWork W4285160398 @default.
- W2738335943 hasRelatedWork W4300361016 @default.
- W2738335943 isParatext "false" @default.
- W2738335943 isRetracted "false" @default.
- W2738335943 magId "2738335943" @default.
- W2738335943 workType "article" @default.