Systems Research for Data-intensive Cloud

Data is growing faster than ever before; more data has been created in the past two years than in the entire previous history. By the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Our accumulated data will grow from 4,4 zettabytes today to around 44 zettabytes, or 44 trillion gigabytes. The number of devices is also quickly growing. By 2020, we will have over 6,1 billion smartphone users globally and there will be over 50 billion smart connected devices in the world, all developed to collect and share data.

The operation of these large volumes of data in order to get their insights in real time presents new challenges and opportunities for future cloud infrastructures. Addressing these needs requires a redesign of future cloud and data center architectures and how they can interoperate to created distributed environments. The Lab performs systems research for the development of large-scale, highly distributed cloud systems for data processing. The Lab is pushing the boundaries of current thinking about Clouds, developing the new data-aware distributed cloud systems and data-centric cloud architectures needed for modern data-intensive applications.

Research Areas

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Data-centric Cloud Computing Management

Rethinking cloud architectures to implement a data-driven approach in cloud management, collocating compute closer to data within architecture might have significant benefits in cost and performance.

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Data-Aware Distributed Clouds

Building or using distributed clouds to co-locate data processing services across different geographies to provide the required quality of service and functionality.

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Edge Computing for Internet of Things

Designing novel distributed computing techniques to stretch datacenter computing facilities to its edge in order meet the communication and processing demands of data analytics use cases from Internet of Things and mobile applications.

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Large-scale Data Analytics on the Cloud

Efficient and agile deployment and management of data-intensive applications with strict geo-distribution, location awareness and low latency requirements in distributed clouds.

Recent Papers

Collaboration Opportunities

We have a long history and a solid track record of working with business and public sector organisations that are keen to improve their people, products and services in the fields of distributed computing, cloud and big data.
By working with our research group, you can seek to add value to in-house capabilities or buy-in specialist knowledge and expertise. This research might be collaborative, with your staff working alongside our researchers, or you may simply employ us to undertake a particular piece of research work.