Search results for “site:mit.edu”
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dsail.csail.mit.edu
index.php › sponsors
Sponsors Menu Home Projects Cardinality Estimation DBOS IOHTAP Self-Organizing Data Containers TreeLine Video Analytics SeeSaw ExSample Automated Map Inference DSM Pipeline DB Kyrix Data Civilizer Northstar SageDB Scheduler Index Optimizer Data Base Designs People Publications Sponsors Menu Home...
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dsail.csail.mit.edu
index.php › treeline
Many modern key-value stores, such as RocksDB and LevelDB, rely on log-structured merge trees (LSMs). Originally designed for spinning disks, LSMs optimize for write performance by only making sequential writes. But this optimization comes at the cost of reads: LSMs must rely on expensive...
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dsail.csail.mit.edu
index.php › optimizer
Current commercial optimizers do not work very well. This is well known. There are multiple problems with the current technology: Cardinality estimates used in current optimizers are flawed. Major problems include the “independence assumption,” whereby it is assumed that columns in a table or...
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dsail.csail.mit.edu
index.php › scheduler
Today's database systems use simple scheduling policies like first-come-first-serve for their generality and ease of implementation. However, a scheduler customized for a specific workload can perform a variety of optimizations; for example, it can prioritize fast and low-cost queries, select...
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dsail.csail.mit.edu
index.php › projects-2
As a part of DSAIL, we are working on several projects at the intersection of Data Systems and Artificial I Intelligence. Some of the main directions include: Some of our past projects include:
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vaas.csail.mit.edu
docs › introduction.html
Vaas is a video analytics system for large-scale video datasets. It provides a web interface that incorporates a query composition tool and data exploration tool to accelerate the development of complex query pipelines. Vaas also provides...
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dsail.csail.mit.edu
index.php › publications-new
Our researchers have been working for years on how to apply AI/ML to data systems and data systems to AI/ML Here’s a list of some of the papers that they’ve published. Check back frequently for new publications coming out of the...
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dspace.mit.edu
handle › 1721.1 › 8438
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Abstract The mass...
In short: Uncover the secrets behind successful peer-based technology business models with this insightful MIT thesis. Learn about social behaviors, economic ramificat... (AI summary)
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web.mit.edu
6.033 › 2015 › wwwdocs
Quiz 2 is Thursday, 5/21, at 1:30pm in the Johnson Ice Rink. More relevant information is on the Quiz 2 FAQ page. May 6, 2016: End-of-term Evaluations End-of-term evaluations are now available. Please fill out the evaluation for 6.033! We read all feedback and use it to improve the course. Apr 24...
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web.mit.edu
6.033 › 2005 › wwwdocs
All assignments will be posted from the schedule page, which you should check regularly for updates. If an assignment refers to a chapter or section of a chapter, it is from the 6.033 class notes. If an assignment refers to a paper number, it typically is the number of the paper in the reading...
In short: Spring 2005 Computer Systems Engineering tutorial: Access assignments, solutions, and electronic papers; learn from Quiz 3 Review slides; explore related systems classes. (AI summary)