The path towards resource elasticity for 5G network architecture

Proceeding of: IEEE Wireless Communications and Networking Conference Workshops (WCNCW 2018)Vertical markets and industries are addressing a large diversity of heterogeneous services, use cases, and applications in 5G. It is currently common understanding that for networks to be able to satisfy those needs, a flexible, adaptable, and programmable architecture based on network slicing is required. Moreover, a softwarization and cloudification of the communications networks is already happening, where network functions (NFs) are transformed from monolithic pieces of equipment to programs running over a shared pool of computational and communication resources. However, this novel architecture paradigm requires new solutions to exploit its inherent flexibility. In this paper, we introduce the concept of resource elasticity as a key means to make an efficient use of the computational resources in 5G systems. Besides establishing a definition as well as a set of requirements and key performance indicators (KPIs), we propose mechanisms for the exploitation of elasticity in three different dimensions, namely computational elasticity in the design and scaling of NFs, orchestration-driven elasticity by flexible placement of NFs, and slice-aware elasticity via cross-slice resource provisioning mechanisms. Finally, we provide a succinct analysis of the architectural components that need to be enhanced to incorporate elasticity principles.Part of this work has been performed within the 5GMoNArch project, part of the Phase II of the 5th Generation Public Private Partnership (5G-PPP) program partially funded by the European Commission within the Horizon 2020 Framework Program

Overall 5G-MoNArch architecture and implications for resource elasticity

Proceeding of: 2018 European Conference on Networks and Communications (EuCNC), June 18-21, Ljubljana, SloveniaThe fifth generation (5G) of mobile and wireless communications networks aims at addressing a diverse set of use cases, services, and applications with a particular focus on enabling new business cases via network slicing. The development of 5G has thus advanced quickly with research projects and standardization efforts resulting in the 5G baseline architecture. Nevertheless, for the realization of native end-to-end (E2E) network slicing, further features and optimizations shall still be introduced. In this paper, essential building blocks and design principles of the 5G architecture will be discussed capitalizing on the innovations that are being developed in the 5G-MoNArch project. Furthermore, building on the concept of resource elasticity introduced by 5G-MoNArch and briefly resummarized in this paper, an elasticity functional architecture is presented where the architectural implications required for each of the three dimensions of elasticity are described, namely computational, orchestration-driven, and slice-aware elasticity.This work has been performed in the framework of the H2020 project 5G-MoNArch co-funded by the EU

General Equilibrium Resource Elasticity in an Open Resource-Abundant Economy

This study investigates the sensitivity of macro and sectoral variables to natural resource revenues in a resource-abundant developing country. Here, different transmission mechanisms are in effect. The paper considers the exchange rate channel, financial sector channel, capital flow channel, public sector channel, and resource reallocation channel. I employ a large scale real-financial general equilibrium model with especial focus on fossil fuel energy, natural resources, financial sector interactions, inter-sectoral linkages, and public sector responses. The model is used to predict the likely changes in oil and gas exports in Iran. It causes more oil exports but at lower international prices. Our comparative static analysis indicates that resource elasticity for GDP is from +0.10 to +0.13; for public services is from +0.16 to +0.27; for import is from +0.42 to +0.45; for mineral extraction is from -0.50 to -0.10, and for the manufacturing sector is from -0.08 to -0.06. The simulation reveals extraction competition among natural resources

General Equilibrium Resource Elasticity in an Open Resource-Abundant Economy

This study investigates the sensitivity of macro and sectoral variables to natural resource revenues in a resource-abundant developing country. Here, different transmission mechanisms are in effect. The paper considers the exchange rate channel, financial sector channel, capital flow channel, public sector channel, and resource reallocation channel. I employ a large scale real-financial general equilibrium model with especial focus on fossil fuel energy, natural resources, financial sector interactions, inter-sectoral linkages, and public sector responses. The model is used to predict the likely changes in oil and gas exports in Iran. It causes more oil exports but at lower international prices. Our comparative static analysis indicates that resource elasticity for GDP is from +0.10 to +0.13; for public services is from +0.16 to +0.27; for import is from +0.42 to +0.45; for mineral extraction is from -0.50 to -0.10, and for the manufacturing sector is from -0.08 to -0.06. The simulation reveals extraction competition among natural resources

End-to-end elasticity control of cloud-network slices

The design of efficient elasticity control mechanisms for dynamic resource allocation is crucial to increase the efficiency of future cloud-network slice-defined systems. Current elasticity control mechanisms proposed for cloud- or network-slicing, only consider cloud- or network-type resources respectively. In this paper, we introduce the elaSticity in cLOud-neTwork Slices (SLOTS) which aims to extend the horizontal elasticity control to multi-providers scenarios in an end-to-end fashion, as well as to provide a novel vertical elasticity mechanism to deal with critical insufficiency of resources by harvesting underused resources on other slices. Finally, we present a preliminary assessment of the SLOTS prototype in a real testbed, revealing outcomes that suggest the viability of the proposal.Peer ReviewedPostprint (published version

Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud

With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete business processes. This allows the realization of so-called elastic processes, i.e., processes which are carried out using elastic cloud resources. Despite the manifold benefits of elastic processes, there is still a lack of solutions supporting them. In this paper, we identify the state of the art of elastic Business Process Management with a focus on infrastructural challenges. We conceptualize an architecture for an elastic Business Process Management System and discuss existing work on scheduling, resource allocation, monitoring, decentralized coordination, and state management for elastic processes. Furthermore, we present two representative elastic Business Process Management Systems which are intended to counter these challenges. Based on our findings, we identify open issues and outline possible research directions for the realization of elastic processes and elastic Business Process Management.Comment: Please cite as: S. Schulte, C. Janiesch, S. Venugopal, I. Weber, and P. Hoenisch (2015). Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud. Future Generation Computer Systems, Volume NN, Number N, NN-NN., http://dx.doi.org/10.1016/j.future.2014.09.00