Ubiquitous Data Gavin Bierman, Cambridge Peter Buneman, Edinburgh - - PowerPoint PPT Presentation

▶

Aug 21, 2022 479 likes •632 views

Ubiquitous Data Gavin Bierman, Cambridge Peter Buneman, Edinburgh Philippa Gardner, Imperial 1 Databases The topic of databases emerged from two key requirements: simple abstraction of structured data robust, efficient

SLIDE 1

Ubiquitous Data

Gavin Bierman, Cambridge Peter Buneman, Edinburgh Philippa Gardner, Imperial

1

SLIDE 2

Databases

The topic of databases emerged from two key requirements:

simple abstraction of structured data
robust, efficient implementation of large quantities of data.

Successful solution: relational databases Distributed databases provide an early, practical example of mobile

code. The number of data locations is typically very small.

With ubiquitous databases, the emphasis is now on scale.

2

SLIDE 3

Examples

Bioinformatics databases: 500 public databases, many commercial

databases. Key features:
evolving structure of data
few original data sources
continual monitoring of data sources for new information.

Future health care: patients ‘own’ their records such as genetic sequence data. A researcher correlating the occurrence of cardiovascular condition with genetic structure must

access potentially millions of databases
move trusted code to source data.

3

SLIDE 4

Semi-structured Data

l m

y

Manipulation of such data is not straightforward. We must study

query languages: XQuery
pattern-matching languages: C# with XML types
storage and optimisation techniques
provenance and annotation.

4

SLIDE 5

Processes

Process calculi provide primitives for describing and analysing global distributed infrastructure, focusing on

process migration
process interaction
private channel communication.

Example applications include

languages supporting distributed programming with process

mobility: polyphonic C#, BPEL

description and analysis of authentication protocols
typed processes to ensure fine-grained resource access control.

5

SLIDE 6

Integrating Data and Processes

l m

y

link pointer process

✁

6

SLIDE 7

Integrating Data and Processes

l m

y

link pointer process

✁

7

SLIDE 8

Integrating Data and Processes

l m

y

link pointer process

✁

8

SLIDE 9

Integrating Data and Processes

l m

y

link pointer process

✁

9

SLIDE 10

Integrating Data and Processes

l m

y

link pointer process

✁

10

SLIDE 11

Integrating Data and Processes

l m

y

link pointer process

✁

11

SLIDE 12

Integrating Data and Processes

l m

y

link pointer process

✁

12

SLIDE 13

Ubiquitous Data

Gavin Bierman, Cambridge Peter Buneman, Edinburgh Philippa Gardner, Imperial

1

Databases

The topic of databases emerged from two key requirements:

Successful solution: relational databases Distributed databases provide an early, practical example of mobile

With ubiquitous databases, the emphasis is now on scale.

2

Examples

Bioinformatics databases: 500 public databases, many commercial

Future health care: patients ‘own’ their records such as genetic sequence data. A researcher correlating the occurrence of cardiovascular condition with genetic structure must

3

Semi-structured Data

l m

y

Manipulation of such data is not straightforward. We must study

4

Processes

Process calculi provide primitives for describing and analysing global distributed infrastructure, focusing on

Example applications include

mobility: polyphonic C#, BPEL

5

Integrating Data and Processes

l m

y

6

Integrating Data and Processes

l m

y

7

Integrating Data and Processes

l m

y

8

Integrating Data and Processes

l m

y

9

Integrating Data and Processes

l m

y

10

Integrating Data and Processes

l m

y

11

Integrating Data and Processes

l m

y

12

15 Year Challenge

To find a sound theoretical underpinning for languages and data associated with the Web.

13