关于云计算、数据库管理系统、大规模数据仓库

ICDE 2010 keynotes——http://www.icde2010.org/index.php/keynotes

 

云计算新技术

Gartner认为，云计算将是下一个十年的最具破坏性的十大创新技术之一。云计算已经兑现很多愿景，并且首批产品已经上市并很快被采用。时间慢了一点。

该演讲首先总体介绍云计算实现的愿景：真正有用的愿景是什么？哪种愿景的实现仅是因为云的完全部署？或者说，哪种愿景的实现仅是云的无法验证？其次演讲讨论了CAP理论的基础限制和方向指引（light-housed）。对于云，真正有多糟糕？最坏有多坏？第三，该演讲讨论了云中数据管理的可选架构。在云中，什么在工作？什么又是新的？第四，演讲阐述了应用开发者将会遭遇的变化。在这些变化中，什么实际可行的？最后，演讲报告了三年来云计算的启动、运行状况。用户喜欢的是什么？投资者喜欢的是什么，我自己喜欢的是什么？

 

数据库管理系统：第一个五十年的总结、下一个五十年的猜想

在五十年前计算机科学文化中，数据库管理系统研究中的一些主要主题已经出现。在过去的五十年中，通过探究这些主题，整个社区经历一段多产的、富有成效的时期。在这个过程中造就了一个重要的软件产业，创建了一个巨大并且富有活力的研究团体。我将从主观上，尽量高屋建瓴的描述这些主题，探讨这些主题为什么如此持久并思考他们未来将如何持续下去。我们可能会继续开创下一个具有创造力的五十年，同时，在前进的过程中，需要多一些理性的思考。要处理这些，我们将如何去做？我以这些思索结束演讲。

 

How new is the cloud?

Donald Kossmann, ETH Zurich and 28msec Inc.

Cloud computing has been identified by Gartner as one of the ten most disruptive technologies for the next decade. It has made many promises and the first products have appeared on the market place and are rapidly gaining adoption. Time to step back a bit.

This talk first gives an overview of the promises made by cloud computing. Which promises really matter? Which promises were only made because they could be fulfilled? And, which promises were only made because they could not be validated? Second, this talk discusses the fundamental limitations, light-housed by the CAP theorem. How bad is it really? Third, this talk discusses alternative architectures for data management in the cloud. What works? What is new? Fourth, this talk addresses the changes application programmers will face. What is realistic? Finally, this talk reports on three years of running a cloud computing start-up. What do users like, what do investors like? What do I like?

 

DBMS: Lessons from the First 50 Years, Speculations for the Next 50
Jeffrey F. Naughton, University of Wisconsin-Madison
Some of the major themes in DBMS research appeared in the computer science literature as early as 50 years ago. The community has had a very productive time over the past 50 years exploring these themes, in the process contributing to a major software industry and creating a large and vibrant research community. I will give a subjective and probably highly biased view of these themes and why they have been so persistent, and speculate on how they might continue to persist in the future. While we will probably continue to be productive over the next 50 years as well, there are reasons for concern going forward. I will close with some speculation on what we might do to deal with this.

 

Large Scale Data Warehousing: Trends and Observations
Richard Winter, Winter Corporation
Pekka Kostamaa (Presenter), Teradata

How large are data warehouses? How fast are they growing? How big are they going to get? What is driving their growth? Why is all this data of value in commercial enterprises? What can we say about how these large data warehouses are being used? What are some key challenges ahead? In this talk, Richard Winter will share his views and observations concerning these questions and others, based on more than three decades of involvement with commercial data warehouses and their preferences.