Research Perspectives - Tools for Visualisation of Portfolios
EPSRC logo

EPSRC Database


Source RCUK EPSRC Data

EP/L000725/1 - AnyScale Applications

Research Perspectives grant details from EPSRC portfolio

http://www.researchperspectives.org/gow.grants/grant_EPL0007251.png

Dr J Singer EP/L000725/1 - AnyScale Applications

Principal Investigator - School of Computing Science, University of Glasgow

Other Investigators

Dr G Brown, Co InvestigatorDr G Brown

Professor S B Furber, Co InvestigatorProfessor S B Furber

Dr M Lujan, Co InvestigatorDr M Lujan

Dr V Nagarajan, Co InvestigatorDr V Nagarajan

Professor M O'Boyle, Co InvestigatorProfessor M O'Boyle

Professor S Sventek, Co InvestigatorProfessor S Sventek

Professor S Vijayakumar, Co InvestigatorProfessor S Vijayakumar

Scheme

Standard Research

Research Areas

Architecture and Operating Systems Architecture and Operating Systems

Programming Languages and Compilers Programming Languages and Compilers

Software Engineering Software Engineering

Start Date

09/2013

End Date

08/2017

Value

£1,166,422

Similar Grants

Automatic generation of similar EPSRC grants

Similar Topics

Topic similar to the description of this grant

Grant Description

Summary and Description of the grant

The ecosystem of compute devices is highly connected, and likely to
become even more so as the internet-of-things concept is realized. There is
a single underlying global protocol for communication which enables all
connected devices to interact, i.e. internet protocol (IP). In this
project, we will create a corresponding single underlying global protocol
for computation. This will enable wireless sensors, smartphones,
laptops, servers and cloud data centres
to co-operate on what is conceptually a single task,
i.e. an AnyScale app.

A user might run an AnyScale app on her smartphone, then when the battery is running
low, or wireless connectivity becomes available, the app may shift its
computation to a cloud server automatically. This kind of runtime decision
making and taking is made possible by the AnyScale framework, which uses a
cost/benefit model and machine learning techniques to drive its
behaviour.
When the app is running on the phone, it cannot do very complex
calculations or use too much memory. However in a powerful server, the
computations can be much larger and complicated. The AnyScale app will
behave in an appropriate way based on where it is running.

In this project, we will create the tools, techniques and technology to
enable software developers to create and deploy AnyScale apps. Our first
case study will be to design a movement controller app, that allows a biped
robot with realistic humanoid limbs to 'walk' over various kinds of terrain. This
is a complex computational task - generally beyond the power of embedded
chips inside robotic limbs. Our AnyScale controller will offload
computation to computers on-board the robot, or wirelessly to nearby
servers or cloud-based systems. This is an ideal scenario for robotic
exploration, e.g. of nuclear disaster sites.

Structured Data / Microdata


Grant Event Details:
Name: AnyScale Applications - EP/L000725/1
Start Date: 2013-09-01T00:00:00+00:00
End Date: 2017-08-31T00:00:00+00:00

Organization: University of Glasgow

Description: The ecosystem of compute devices is highly connected, and likely to become even more so as the internet-of-things concept is realized. There is a single underlying global protocol for communication which enables all connected devices to interact, i.e. inte ...