| dc.contributor.advisor | Stonebraker, Michael | |
| dc.contributor.author | Mathew, Shana | |
| dc.date.accessioned | 2022-01-14T15:20:35Z | |
| dc.date.available | 2022-01-14T15:20:35Z | |
| dc.date.issued | 2021-06 | |
| dc.date.submitted | 2021-06-17T20:13:46.825Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/139569 | |
| dc.description.abstract | Current operating systems date from over 40 years ago and were designed for very different computing requirements, making them ill-equipped to handle serverless workloads as well as modern challenges in scalability, heterogeneity, availability, and security. Hence, we propose a radically new data-centric OS design for serverless computing. This database OS (DBOS) centralizes all cluster state in a uniform data model: database tables stored in a high-performance, distributed, main-memory database management system. Operations on this state will be performed via serverless, stateless tasks.
This thesis presents work done to build a preliminary scheduler and to implement and evaluate various global scheduling algorithms. We also demonstrate the performance of a modern DBMS in executing various scheduling operations. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright MIT | |
| dc.rights.uri | http://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Scheduling in a Database-Based Distributed Operating System | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |
