Back to search results

PhD Studentship: Learning Caching Strategies for Dynamic Workloads on Graph Databases

University of Surrey

Qualification Type: PhD
Location: Guildford
Funding for: UK Students
Funding amount: UKRI standard stipend (£19,237 p.a. 2024/25 rates); full home tuition fees; a research, training and support grant of up to £3,000 over the project. Funding available for 3.5 years (42 months)
Hours: Full Time
Placed On: 30th August 2024
Closes: 6th October 2024
Reference: PGR-2425-002

As the volume and complexity of data has changed, particularly in recent years, database systems have begun to evolve along different paths for different use cases. While relational databases have been traditionally popular, more recently graph databases have risen to prominence. A graph database uses nodes (vertices) and relationships (edges) to create a graph (network) that represents the entities and associativity between them.

Data caching plays a central role in maintaining low latency and high throughput of data access by ensuring data times that are likely to be accessed in the near future are available in the main memory. However, most existing caching strategies employed by graph databases do not take into account graph topology when determining which items should be kept in cache. They also do not adapt well to dynamic changes in the graph topology and the query workload.

In this project, we plan to investigate how the topology of a graph can be exploited to optimise the caching strategy with the aim of improving hit rate, and overall throughput. We will also aim to explore how machine learning techniques can be used to dynamically learn an optimal caching policy based on current topological context and data access patterns.

A successful candidate will work in the Distributed Systems and Concurrency group at University of Surrey and benefit from close collaboration with Neo4j, a world leader in graph data base technology. The supervisory team has a strong publication record in systems, distributed systems and concurrency, programming languages, and formal verification, including publications at flagship venues, such as OSDI, ATC, EuroSys, VLDB, and PODC among others.

Further details on the proposed project can be found at https://docs.google.com/document/d/13dBzLpPhIZCJWHeXg0KQjCNnSpyg9ooiAKpCtYSpUkk/edit?usp=sharing

Supervisors: Professor Gregory Chockler, Professor Brijesh Dongol, Dr Dan O’Keffe and Dr Jim Webber

Entry requirements

Open to candidates who pay UK/home rate fees. See UKCISA for further information. Starting in January 2025.

You will need to meet the minimum entry requirements for our PhD programme.

Applicants are expected to hold a first or upper second-class (2:1) UK degree in a relevant discipline (or equivalent overseas qualification).

Interest in systems research (e.g., operating systems, distributed and concurrent systems) is a plus.

An ideal candidate will possess solid coding skills and some experience with empirical performance evaluation.

How to apply

Applications should be submitted via the Computer Science PhD programme page, clicking the 'Apply' button, above.

In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.

Funding

UKRI standard stipend, tuition fees, research training support grant. Fully and directly funded for this project only for 3.5 years.  

Application deadline: 6 October 2024

Enquiries: Contact Professor Gregory Chockler

Ref: PGR-2425-002

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
 
More PhDs from University of Surrey

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge