DBOS: A DBMS-oriented Operating System

The End of a Myth: Distributed Transactions Can …

The End of a Myth: Distributed Transactions Can Scale Erfan Zamanian Carsten Binnig Tim Harris Tim Kraska Brown University Brown University Oracle Labs Brown University

  Scale, Transactions, Distributed, Myths, A myth, Distributed transactions can, Distributed transactions can scale

Froid: Optimization of Imperative Programs in a …

Froid: Optimization of Imperative Programs in a Relational Database Karthik Ramachandra Microsoft Gray Systems Lab karam@microsoft.com Kwanghyun Park

LAGOON PALACE TOWER TOWER OCEAN PALACE MAIN …

OCEAN TOWER O11 ¥ LAGOON TOWER PALACE TOWER OCEAN TOWER L11 P4 $ $ RESTAURANTS Kirin Chinese Restaurant ACTIVITIES Wedding Chapel Wedding Gazebo OUTDOOR VENUES Palace Garden Palace Lawn P1 P2 P3 P5 P6 PALACE TOWER P4 Dona & ToniÕs Pizza (1st floor) Concierge (Dining & Activities) 808.886.1234, Ext.54

  Canoe, Towers, Lagoon, Lagoon tower, Ocean tower, Tower ocean tower

Gorilla: A Fast, Scalable, In-Memory Time Series Database

Gorilla is Facebook’s new TSDB that satis es these con-straints. Gorilla functions as a write-through cache of the most recent data entering the monitoring system. We aim to ensure that most queries run within 10’s of milliseconds. The insight in Gorilla’s design is that users of monitor-ing systems do not place much emphasis on ...

  Gorilla

Exploring Databases via Reverse Engineering Ranking ...

system is centered around our PALEO framework for reverse engineering OLAP-style database queries and novel work on mining interesting categorical attributes. 1. INTRODUCTION The concept of rankings is ubiquitous; it exists in nearly all domains. Essentially, rankings allow focusing on a small subset of an exhaustively full list|usually a few ...

  Reserve, Introduction, Engineering, Reverse engineering

Distributed Trajectory Similarity Search - VLDB

trajectory similarity search in a distributed and parallel setting. In light of that, we propose a general framework for supporting trajectory similarity search in a distributed environment. Rather than directly indexing all trajectories, we design an segment-based distributed index structure. This is coupled with an effective prun-

  Search, Distributed, Trajectory, Similarity, Distributed trajectory similarity search

POLARIS: The Distributed SQL Engine in Azure Synapse

to data analytics, in conjunction with multi-dimensional business-intelligence (BI) tools such as Power BI and Tableau. The recent explosion in the number and diversity of data sources, together with the interest in machine learning, real-time analytics and other advanced capabilities, has made it necessary to extend traditional

  Business, Analytics

Fast Algorithms for Mining Association Rules

Permission to copy without fee all or part of this material is ... of the discovery process. 1.1 Problem Decomposition and Paper Organization The problem of discovering all association rules can be decomposed into two subproblems [4]: ... the identifier of the corresponding transaction.

  Process, Transactions, Permission

Photo Tourism: Exploring Photo Collections in 3D

computing, from the images themselves, the photographers’ loca-tions and orientations, along with a sparse 3D geometric represen-tation of the scene, using a state-of-the-art image-based modeling system. Our system handles large collections of unorganized pho-tographs taken by different cameras in widely different conditions.

  Computing

Chapter 5.3: Data Security in Cloud Computing

- \Above the Clouds: A Berkeley View of Cloud Computing" NIST [15] gives the following uno cial de nition of cloud computing: cloud computing is a \pay-per-use model for enabling available, convenient and on-demand network access to a shared pool of con gurable computing re-sources (e.g., networks, servers, storage, applications and services ...

  Computing, Security, Cloud, Data, View, Berkeley, Cloud computing, Of cloud computing, Data security in cloud computing, Berkeley view of cloud computing

Above the Clouds: A Berkeley View of Cloud Computing

Feb 10, 2009 · Above the Clouds: A Berkeley View of Cloud Computing Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia (Comments should be addressed to abovetheclouds@cs.berkeley.edu) UC Berkeley Reliable Adaptive Distributed Systems …

  Computing, Cloud, View, Berkeley, Berkeley view of cloud computing

Cloud Programming Simplified: A Berkeley View on ...

In 2009, to help explain the excitement around cloud computing, \The Berkeley View on Cloud Computing" [2] identi ed six potential advantages: 1.The appearance of in nite computing resources on demand. 2.The elimination of an up-front commitment by cloud users. 3.The ability to pay for use of computing resources on a short-term basis as needed.

  Computing, Programming, Cloud, Simplified, View, Berkeley, Cloud computing, Cloud programming simplified, A berkeley view, Berkeley view

From Cloud Computing to Sky Computing - ACM SIGOPS

UC Berkeley Abstract We consider the future of cloud computing and ask how we might guide it towards a more coherent service we call sky computing. The barriers are more economic than technical, and we propose reciprocal peering as a key enabling step. ACM Reference Format: Ion Stoica and Scott Shenker. 2021. From Cloud Computing to Sky Computing.

  Computing, Cloud, Berkeley, Of cloud computing, Cloud computing to sky computing

Introduction to Cloud Computing - KTH

•NIST Definition of Cloud Computing "Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction."

  Computing, Cloud, Cloud computing, Of cloud computing