Data log stream processing using probabilistic data structures
A computing resource monitoring service receives a request to obtain data for various computing resources. The service obtains, from the various computing resources, one or more data log streams that include the requested data. The service utilizes the one or more data log streams to generate a prob...
Saved in:
Main Authors | , |
---|---|
Format | Patent |
Language | English |
Published |
01.12.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | A computing resource monitoring service receives a request to obtain data for various computing resources. The service obtains, from the various computing resources, one or more data log streams that include the requested data. The service utilizes the one or more data log streams to generate a probabilistic data structure that can be used to indicate that data log streams have been processed. If the one or more data log streams are not completely processed prior to the end of an allotted time period for processing of the request, the service generates a token that specifies partially processed data log streams and the probabilistic data structure. The token can be used to enable resumption of processing of the request. |
---|---|
AbstractList | A computing resource monitoring service receives a request to obtain data for various computing resources. The service obtains, from the various computing resources, one or more data log streams that include the requested data. The service utilizes the one or more data log streams to generate a probabilistic data structure that can be used to indicate that data log streams have been processed. If the one or more data log streams are not completely processed prior to the end of an allotted time period for processing of the request, the service generates a token that specifies partially processed data log streams and the probabilistic data structure. The token can be used to enable resumption of processing of the request. |
Author | Waugh, Robert Mark Sterin, Greg |
Author_xml | – fullname: Waugh, Robert Mark – fullname: Sterin, Greg |
BookMark | eNrjYmDJy89L5WSwc0ksSVTIyU9XKC4pSk3MVSgoyk9OLS7OzEtXKAWTQIGkxKTMnMziksxkhRSQcqDS0uSS0qLUYh4G1rTEnOJUXijNzaDo5hri7KGbWpAfn1pckJicmpdaEh8abGhgYWpsbGrpZGhMjBoAn6YzCQ |
ContentType | Patent |
DBID | EVB |
DatabaseName | esp@cenet |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: EVB name: esp@cenet url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP sourceTypes: Open Access Repository |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Sciences Physics |
ExternalDocumentID | US10853359B1 |
GroupedDBID | EVB |
ID | FETCH-epo_espacenet_US10853359B13 |
IEDL.DBID | EVB |
IngestDate | Fri Jul 19 15:41:04 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-epo_espacenet_US10853359B13 |
Notes | Application Number: US201514977497 |
OpenAccessLink | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201201&DB=EPODOC&CC=US&NR=10853359B1 |
ParticipantIDs | epo_espacenet_US10853359B1 |
PublicationCentury | 2000 |
PublicationDate | 20201201 |
PublicationDateYYYYMMDD | 2020-12-01 |
PublicationDate_xml | – month: 12 year: 2020 text: 20201201 day: 01 |
PublicationDecade | 2020 |
PublicationYear | 2020 |
RelatedCompanies | Amazon Technologies, Inc |
RelatedCompanies_xml | – name: Amazon Technologies, Inc |
Score | 3.300181 |
Snippet | A computing resource monitoring service receives a request to obtain data for various computing resources. The service obtains, from the various computing... |
SourceID | epo |
SourceType | Open Access Repository |
SubjectTerms | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
Title | Data log stream processing using probabilistic data structures |
URI | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201201&DB=EPODOC&locale=&CC=US&NR=10853359B1 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfZ1bS8MwFMcPY17ftCo6L0SQvhVrkrrtoQrrhSHsgltlbyNtU1CwK7TDr-9J2jlf9CUPCYTTwMnJSf_nF4A7DXnCk7HFEpZZvMv6lqAptUTGFT1d2Kmm7Y_Gj8OIvyycRQs-NrUwmhP6peGI6FEJ-nul9-tie4nla21leR-_Y9fqOZy7vtlkx1SVgj6Y_sANphN_4pme50Yzc_zqKpE9Y05_gJnSjjpGK85-8DZQVSnF75ASHsHuFGfLq2NoydyAA2_z8poB-6Pmh7cBe1qhmZTY2XhheQJPvqgEwU2LqEoP8UmKWu2PUYisdaueidHoXEVhJkoFSmpQ7Bqz61O4DYO5N7TQpOXP9y-j2dZ6dgbtfJXLcyDoTjHPukkqJedJj_WooNKOqZNyOxPcvoDO3_N0_hu8hEO1lrVq4wraaKC8xthbxTd60b4BKfKIiA |
link.rule.ids | 230,309,786,891,25594,76906 |
linkProvider | European Patent Office |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfZ3fS8MwEMePMX_MN52Kzl8RpG_F2qR2e6hC25WqazfcJnsb6S9QsBu0w3_fS9o5X_QlDwmEa-ByufR7nwDcSMgTnoxVGtNMZSbtqVxPdJVnTNDTuZZI2n4Q3vtT9jwzZg34WNfCSE7ol4QjokfF6O-l3K-Xm0ssV2ori9voHbsWj97EcpU6O9ZFKeid4tpWfzR0h47iONZ0rISvlhDZU2r0bMyUtkxB5xVHpzdbVKUsf4cUbx-2RzhbXh5AI83b0HLWL6-1YTeof3i3YUcqNOMCO2svLA7hweUlJ7hpEVHpwT_JslL7YxQiK9mKZ2IkOldQmIlQgZIKFLvC7PoIrr3-xPFVNGn-8_3z6XhjPT2GZr7I0xMg6E4Ry8w4SVPG4i7t6lxPtUg3EqZlnGmn0Pl7ns5_g1fQ8ifBYD54Cl_OYE-sa6XgOIcmGpteYBwuo0u5gN-1wIt1 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=Data+log+stream+processing+using+probabilistic+data+structures&rft.inventor=Waugh%2C+Robert+Mark&rft.inventor=Sterin%2C+Greg&rft.date=2020-12-01&rft.externalDBID=B1&rft.externalDocID=US10853359B1 |