상세정보
Export to Refworks부가기능
Performance-Based Service Level Agreements for Data Analytics in the Cloud
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Performance-Based Service Level Agreements for Data Analytics in the Cloud. |
| 개인저자 | Ortiz, Jennifer. |
| 단체저자명 | University of Washington. Computer Science and Engineering. |
| 발행사항 | [S.l.]: University of Washington., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 138 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-03B. Dissertation Abstract International |
| ISBN | 9781088304358 |
| 학위논문주기 | Thesis (Ph.D.)--University of Washington, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
Advisor: Balazinska, Magdalena. |
| 이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
| 요약 | A variety of data analytics systems are available as cloud services today, such as Amazon Elastic MapReduce (EMR) and Azure Data Lake Analytics. To buy these services, users select and pay for a given cluster configuration based on the number and type of service instances. Today's cloud service pricing models force users to translate their data management needs into resource needs. It is well known, however, that users have difficulty selecting a configuration that meets their need. For non-experts, being faced with decisions about the configuration is even harder, especially when they seek to explore a new dataset. This thesis focuses on the challenges and implementation details of building a system that helps bridge the gap between the data analytics services users need and the way cloud providers offer them. The first challenge in closing the gap is finding a new type of abstraction that simplifies user interactions with cloud services. We introduce the notion of a "Personalized Service Level Agreement" (PSLA) and the PSLAManager system that implements it. Instead of asking users to specify the exact resources they think they need or asking them for exact queries that must be executed, PSLAManager shows them service options for a set price.Second, providing PSLAs is challenging to service providers who seek to avoid paying for SLA violations and over-provisioning their resources. To address these challenges, we present SLAOrchestrator, a system that supports performance-centric (rather than availability-centric) SLAs for data analytic services. SLAOrchestrator uses PSLAManager to generate SLAs |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
