@conference {
	title = {IoT and 5G as enablers for Networked Human-Cyber-Physical Systems},
	author = {Baras, John S., Papagianni, Chrysa. },
	year = {2017},
	month = {08/2017},
	abstract = {Cyber-Physical Systems (CPS) are transformative technologies for managing interconnected systems between a system{\textquoteright}s physical assets and computational capabilities. Several novel opportunities and research challenges emerge in CPS from the core domains of CPS, the physical and the cyber world and their interdependencies, as well as other domains such as networking and distributed systems. Specifically, CPS are frequently distributed and often they are either large-scale or require elasticity of scale as utilization fluctuates. Most of CPS are networked, typically via the Internet or the cloud, or via special logical or physical networks, leading s to networked CPS (Net-CPS). Examples include modern factories, modern enterprises, heterogeneous wireless networks, heterogeneous wireless sensor networks, social networks over the Internet, the Industrial Internet Consortium (IIC), the Internet of Things (IoT). Furthermore, we now live and work in a networked immersed world. That is humans are now important components of these networked systems. We call the resulting systems networked human-cyber- physical systems (Net-HCPS). The main thesis of the presentation is that the emerging technologies of IoT and 5G are indispensable enablers of both Net-CPS and Net-HCPS. We illustrate with several ubiquitous examples. The requirements for Net-HCPS design and performance evaluation suggest that a promising idea is to make the communication networks linking the components in Net-CPS, both programmable and flexible to changing operating conditions. This is precisely where Software Defined Networks (SDN) offers exciting new opportunities. SDN is a new paradigm that provides unprecedented flexibility via dynamic, programmatic (re) configuration of network resources using open standard interfaces. Neither 5G or IoT can be efficiently and predictably implemented without Software Defined Wireless Networks (SDWN) and Network Function Virtualization (NFV). We describe how these interdependencies lead us to a Software-Defined Architecture for Net-CPS and Net-HCPS. We describe critical implications of this work for the Industrial Internet and Industrie 4.0. Our work is in line with major shifts and R\&amp;amp;D interests in major communication companies (including Nokia Bell labs, Qualcomm, Ericsson, AT\&amp;amp;T). Finally, it has huge implications on smart cities viewed as Net-HCPS.},
	address = {Reston, VA},
	booktitle = {IEEE 5G Summit}
}
@conference {
	title = {Network Function Placement on Virtualized Cellular Cores},
	author = {Dietrich, David., Papagianni, Chrysa. , Panagiotis, Papadimitriou., Baras, John S.},
	year = {2017},
	month = {01/2017},
	abstract = {The proliferation of mobiles devices, application sprawl, and the ever-increasing data volume generates significant~stress on cellular networks and particularly on the cellular~core, also known as the Evolved Packet Core (EPC). This is~further exacerbated by the deployment of hardware appliances~for the implementation of a wide range of network functions~(e.g., gateways, mobility management, firewalls, network address~translation), hindering any opportunity for elastic provisioning,~and eventually leading to high operational costs and a significant~degree of load imbalance across the EPC.~Network Function Virtualization (NFV) has been seen a ~promising solution in order to enable elasticity in the cellular core. Applying NFV to the EPC raises the need for network~function (NF) placement, which in turn entails significant challenges,~due to the stringent delay budgets among cellular core components and the coexistence of communicating data and~control plane elements. To address these challenges, we present a~linear programming (LP) formulation for the computation of NF~placements that strikes a balance between optimality and time
complexity. Our evaluation results show that the LP achieves~significantly better load balancing, request acceptance rate,~and resource utilization compared to a greedy algorithm that~performs NF placement inline with carriers{\textquoteright} common practice~today.~},
	address = {Bengaluru, India},
	booktitle = {9th International Conference on COMmunication Systems \& NETworkS (COMSNETS 2017)},
	pages = {pp. 259-266}
}
