Beyond Isolation: Research Opportunities in Declarative Data-Driven Coordination

被引:0
|
作者
Kot, Lucja [1 ]
Gupta, Nitin [1 ]
Roy, Sudip [1 ]
Gehrke, Johannes [1 ]
Koch, Christoph [1 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There are many database applications that require users to coordinate and communicate. Friends want to coordinate travel plans, students want to jointly enroll in the same set of courses, and busy professionals want to coordinate their schedules. These tasks are difficult to program using existing abstractions provided by database systems because in addition to the traditional ACID properties provided by the system they all require some type of coordination between users. This is fundamentally incompatible with isolation in the classical ACID properties. In this position paper, we argue that it is time for the database community to look beyond isolation towards principled and elegant abstractions that allow for communication and coordination between some notion of (suitably generalized) transactions. This new area of declarative data-driven coordination (D3C) is motivated by many novel applications and is full of challenging research problems. We survey existing abstractions in database systems and explain why they are insufficient for D3C, and we outline a plethora of exciting research problems.
引用
收藏
页码:27 / 32
页数:6
相关论文
共 50 条
  • [1] Entangled Queries: Enabling Declarative Data-Driven Coordination
    Gupta, Nitin
    Kot, Lucja
    Roy, Sudip
    Bender, Gabriel
    Gehrke, Johannes
    Koch, Christoph
    ACM TRANSACTIONS ON DATABASE SYSTEMS, 2012, 37 (03):
  • [2] A Declarative Approach to Data-Driven Fact Checking
    Leblay, Julien
    THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 147 - 153
  • [3] DATA-DRIVEN ENGINEERING DESIGN RESEARCH: OPPORTUNITIES USING OPEN DATA
    Parraguez, Pedro
    Maier, Anja
    DS87-7 PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN (ICED 17), VOL 7: DESIGN THEORY AND RESEARCH METHODOLOGY, 2017, : 41 - 50
  • [4] A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges
    Gomez, Felicia
    Danos, Arpad M.
    Del Fiol, Guilherme
    Madabhushi, Anant
    Tiwari, Pallavi
    McMichael, Joshua F.
    Bakas, Spyridon
    Bian, Jiang
    Davatzikos, Christos
    Fertig, Elana J.
    Kalpathy-Cramer, Jayashree
    Kenney, Johanna
    Savova, Guergana K.
    Yetisgen, Meliha
    Van Allen, Eliezer M.
    Warner, Jeremy L.
    Prior, Fred
    Griffith, Malachi
    Griffith, Obi L.
    CANCER DISCOVERY, 2024, 14 (10) : 1774 - 1778
  • [5] Data-driven challenges and opportunities in crystallography
    Glynn, Calina
    Rodriguez, Jose A.
    EMERGING TOPICS IN LIFE SCIENCES, 2019, 3 (04) : 423 - 432
  • [6] Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research
    Maass, Wolfgang
    Parsons, Jeffrey
    Purao, Sandeep
    Storey, Veda C.
    Woo, Carson
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2018, 19 (12): : 1253 - 1273
  • [7] A Survey of Data-Driven Soft Sensing in Ironmaking System: Research Status and Opportunities
    Yan, Feng
    Kong, Liyuan
    Li, Yanrui
    Zhang, Hanwen
    Yang, Chunjie
    Chai, Li
    ACS OMEGA, 2024, 9 (24): : 25539 - 25554
  • [8] Data-driven education research
    Cooper, Melanie M.
    SCIENCE, 2007, 317 (5842) : 1171 - 1171
  • [9] Data-driven Roadmapping Turning Challenges into Opportunities
    Pora, Ummaraporn
    Thawesaengskulthai, Natcha
    Gerdsri, Nathasit
    Triukose, Sipat
    2018 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING AND TECHNOLOGY (PICMET '18): MANAGING TECHNOLOGICAL ENTREPRENEURSHIP: THE ENGINE FOR ECONOMIC GROWTH, 2018,
  • [10] Opportunities and Challenges of Data-Driven Virus Discovery
    Lauber, Chris
    Seitz, Stefan
    BIOMOLECULES, 2022, 12 (08)