@inproceedings { ISCC2023,
	title = {Proactive Resource Orchestration Framework for Cloud/Fog Platform},
	journal = {Proceedings of the 28th IEEE Symposium on Computers and Communications (ISCC)},
	year = {2023},
	publisher = { IEEE},
	address = {Tunis/Tunisia},
	abstract = {Cloud computing makes complex computing an off-premise activity by offering software- and hardware-based services using standard security protocols over the Internet. It has been seen that the cloud is not ideal for latency-sensitive applications. Thanks to the current growth of network communication and infrastructure, fog adds a computing resource delegation layer between the user and the cloud. Fog aims to improve latency-sensitive applications support. Here, we propose one unified, proactive resource orchestration framework from a cloud/fog service provider perspective. The framework consists of a predictor and a resource allocator module. Users subscribe to these resources to execute their applications. The framework does not require application-specific information and is modular, meaning a service provider can customise each module. We have presented the framework prototype by showing each module{\textquoteright}s simulated performance results using the parameters of our cloud/fog research test bed.},
	keywords = {Cloud, Fog, Orchestration, Prediction, Resource Allocation},
	author = {Mazumdar, Somnath and Dreibholz, Thomas}
}
@inproceedings { SEAA2023,
	title = {Towards A Data Privacy-Aware Execution Zone Creation on Cloud/Fog Platform},
	journal = {Proceedings of the 49th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA)},
	year = {2023},
	publisher = { IEEE},
	address = {Durr{\"e}s/Albania},
	abstract = {Cloud computing is now a {\textquoteleft}go-to{\textquoteright} platform for running various types of application. A wide spectrum of users needing software and hardware resources have embraced the cloud. Following the cloud business model, one is either a cloud-based service provider or a cloud service (hardware and software) user. There is a continuous evolution in the cloud ecosystem to support the ever-changing features of user applications. The cloud ecosystem has added a new resource delegation model to accommodate such new requirements. This new resource delegation model is known as fog. Both cloud and fog platforms employ complex hardware and software to provide better run-time support for applications. This paper presents a message-based privacy-aware application execution zone management framework for the cloud/fog platform. The framework aims to create a static execution zone based on the performance of the user application and the data privacy requirements. It also enables the user to set the resource termination conditions. Here, we have prototyped the proposed framework and showed how the proposed approach works with message structure and experiments with the P4 switch. We also present how the prototype could be implemented on a cloud/fog platform.},
	keywords = {Cloud, Data, Fog, Message, Privacy, resource management},
	author = {Mazumdar, Somnath and Dreibholz, Thomas}
}
@article { CommMag2022,
	title = {Secure Embedded Living: Towards a Self-contained User Data Preserving Framework},
	journal = {IEEE Communications Magazine},
	volume = {60},
	year = {2022},
	month = {11/2022},
	pages = {74{\textendash}80},
	publisher = { IEEE},
	abstract = {Smart living represents the hardware-software co-inhabiting with humans for better living standards and improved well-being. Here, hardware monitors human activities (by collecting data) specific to a context. Such data can be processed to offer context-specific valuable insights. Such insights can be used for optimising the well-being, living experience and energy cost of smart homes. This paper proposes a Secure Embedded Living Framework~(SELF) that enforces a privacy-preserving data control mechanism by integrating multiple technologies, such as Internet-of-thing, cloud/fog platform, machine learning and blockchain. The primary aim of the SELF is to allow the user to retain more control of its data.},
	keywords = {blockchain, Cloud, Data, IoTs, Security, User},
	issn = {0163-6804},
	doi = {10.1109/MCOM.001.2200165},
	author = {Mazumdar, Somnath and Dreibholz, Thomas}
}
@inproceedings { HPCC2022,
	title = {Towards a Privacy Preserving Data Flow Control via Packet Header Marking},
	journal = {Proceedings of the 24th International Conference on High Performance Computing, Data, and Analytics~(HPCC)},
	year = {2022},
	publisher = {IEEE},
	address = {Chengdu, Sichuan/People{\textquoteright}s Republic of China},
	abstract = {{Computing infrastructure is becoming ubiquitous thanks to the advancement in computing and the network domain. Reliable network communication is essential to offer good quality services, but it is not trivial. There are privacy concerns. Metadata may leak user information even if traffic is encrypted. Some countries have data privacy preserving-related regulations, but end-users cannot control through which path, networks, and hardware their data packets should travel. Even worse, the user cannot declare their privacy preferences. This paper presents an approach to tackle such privacy issues through data privacy-aware routing. The user can specify their preferences for packet routing using marking and filtering. Routing can work according to such specifications. It is implemented by P4, allowing a vendor-independent realisation with standard off-the-shelf hardware and open-source software components. We presented the initial experimental results of a proof-of-concept run on a unified cloud/fog research testbed.}},
	keywords = {Cloud, Data, Fog, P4, Packets, Privacy, Routing},
	author = {Mazumdar, Somnath and Dreibholz, Thomas}
}
