ABC: Adaptive Brokerage for the Cloud
Lead Research Organisation:
Lancaster University
Department Name: Computing & Communications
Abstract
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Publications
Elhabbash A
(2019)
A Framework for SLO-driven Cloud Specification and Brokerage
Elhabbash A
(2019)
Cloud Brokerage A Systematic Survey
in ACM Computing Surveys
Elhabbash A
(2019)
Envisioning SLO-driven Service Selection in Multi-cloud Applications
Elkhatib Y
(2019)
Same Same, but Different: A Descriptive Intra-IaaS Differentiation
Description | We have carried out a systematic survey of the state of the art on cloud brokerage, identifying the different approaches and techniques used and the shortcomings thereof. This study has helped us build a foundational understanding that will be very important going forwards. We have then designed a basic framework for an adaptive cloud broker. Next, we developed a modelling language to be used for the specification of cloud SLOs (Service Level Objectives). All these findings and other minor ones have been published as papers. |
Exploitation Route | Based on our investigation and reflection, we have identified a number of future avenues in the field of cloud brokerage, namely: Customer Assistance, Adaptive and Fluid Deployment, and Intelligent Decision Making. These areas need more work by the community, and we clarify exactly how and why in each case. |
Sectors | Digital/Communication/Information Technologies (including Software) |
Description | Through engaging with our industrial partners, we have improved the way they use cloud resources. This has improved their DevOps processes and increased their productivity. Specifically, we have helped our partners to optimise their cloud infrastructure, automate their deployment processes, and improve their monitoring and logging capabilities. These improvements have enabled our partners to deliver their products and services more quickly and efficiently, while also reducing their costs and improving their developer satisfaction. |
First Year Of Impact | 2021 |
Sector | Digital/Communication/Information Technologies (including Software) |
Impact Types | Economic |
Description | ABC: Adaptive Brokerage for the Cloud |
Amount | £117,047 (GBP) |
Funding ID | EP/R010889/2 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 06/2021 |
End | 03/2023 |
Description | Extension of the SLO-ML work |
Organisation | Deloitte Touche Tohmatsu |
Country | United States |
Sector | Private |
PI Contribution | Abdessalam Elhabbash and Yehia Elkhatib have engaged with them for extending the SLO-ML work, with the results to also be released as open source. |
Collaborator Contribution | They have started working on the source code for the extension. |
Impact | No outcomes yet. |
Start Year | 2020 |
Description | Portsmouth |
Organisation | University of Portsmouth |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Yehia Elkhatib has visited them for collaboration discussions, and also given a seminar about the results of the ABC project. |
Collaborator Contribution | They have invited me to give the talk and engaged in discussions about potential collaborations. |
Impact | We have started a collaborative draft for a follow up research grant. |
Start Year | 2020 |
Title | SLO-ML |
Description | SLO-ML extends cloud modelling languages by providing concepts for modelling service level objectives. It is developed as part of the ABC project which focuses on developing an adaptive cloud brokerage framework to act as an intermediary between end users and cloud service providers in order to enhance service delivery and value. |
Type Of Technology | Software |
Year Produced | 2019 |
Open Source License? | Yes |
Impact | Conference paper, and follow up work with partners. |
URL | https://github.com/AbdessalamElhabbash/SLO-ML |
Description | Workshop at RAL |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Third sector organisations |
Results and Impact | A number of representatives of RAL at STFC, CEH, and Oxford University met with us to discuss the requirements of scientific application users for cloud brokerage solutions. During the day-long workshop, we explored a wide array of scientific applications and their operational requirements. We also presented our work to date on cloud brokerage, giving an overview of the state of the art and explaining areas of deficiency. |
Year(s) Of Engagement Activity | 2018 |