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We explore a cosmology where the Big Bang singularity is replaced by a condensation event of interacting strings. We study the transition from an uncontrolled, chaotic soup (“before”) to a clearly interacting “real world”. Cosmological inflation scenarios do not fit current observations and are avoided. Instead, long-range interactions inside this crystallization event limit growth and crystal symmetries ensure the same laws of nature and basic symmetries over our domain. Tiny mis-arrangements present nuclei of superclusters and galaxies and crystal structure leads to the arrangement of dark (halo regions) and normal matter (galaxy nuclei) so convenient for galaxy formation. Crystals come and go, allowing an evolutionary cosmology where entropic forces from the quantum soup “outside” of the crystal try to dissolve it. These would correspond to dark energy and leads to a big rip scenario in 70 Gy. Preference of crystals with optimal growth and most condensation nuclei for the next generation of crystals may select for multiple self-organizing processes within the crystal, explaining “fine-tuning” of the local “laws of nature” (the symmetry relations formed within the crystal, its “unit cell”) to be particular favorable for self-organizing processes including life or even conscious observers in our universe.
Independent of cosmology, a crystallization event may explain quantum-decoherence in general: The fact, that in our macroscopic everyday world we only see one reality. This contrasts strongly with the quantum world where you have coherence, a superposition of all quantum states. We suggest that a “real world” (so our everyday macroscopic world) happens only in our domain, i.e. inside a crystal. “Outside” of our domain and our observable universe there is the quantum soup of boiling quantum foam and superposition of all possibilities. In our crystallized world the vacuum no longer boils but is cooled down by the crystallization event and hence is 10**20 smaller, exactly as observed in our everyday world. As we live in a “solid” state, within a crystal, the different quanta which build our world have all their different states nicely separated. This theory postulates there are only n quanta and m states available for them (there is no Everett-like ever splitting multiverse after each decision). In the solid state we live in, there is decoherence, the states are nicely separated. The arrow of entropy for each edge of the crystal forms one fate, one worldline or clear development of a world, while the layers of the crystal are different system states.
Some mathematical leads from loop quantum gravity point to required interactions and potentials. A complete mathematical treatment of this unified theory is far too demanding currently. Interaction potentials for strings or membranes of any dimension allow a solid state of quanta, so allowing decoherence in our observed world are challenging to calculate. However, if we introduce here the heuristic that any type of physical interaction of strings corresponds just to a type of calculation, there is already since 1898 the Hurwitz theorem showing that then only 1D, 2D, 4D and 8D (octonions) allow complex or hypercomplex number calculations. No other hypercomplex numbers and hence dimensions or symmetries are possible to allow calculations without yielding divisions by zero. However, the richest solution allowed by the Hurwitz theorem, octonions, is actually the observed symmetry of our universe, E8.
Utilizing multiple access technologies such as 5G, 4G, and Wi-Fi within a coherent framework is currently standardized by 3GPP within 5G ATSSS. Indeed, distributing packets over multiple networks can lead to increased robustness, resiliency and capacity. A key part of such a framework is the multi-access proxy, which transparently distributes packets over multiple paths. As the proxy needs to serve thousands of customers, scalability and performance are crucial for operator deployments. In this paper, we leverage recent advancements in data plane programming, implement a multi-access proxy based on the MP-DCCP tunneling approach in P4 and hardware accelerate it by deploying the pipeline on a smartNIC. This is challenging due to the complex scheduling and congestion control operations involved. We present our pipeline and data structures design for congestion control and packet scheduling state management. Initial measurements in our testbed show that packet latency is in the range of 25 μs demonstrating the feasibility of our approach.
Utilizing multiple access networks such as 5G, 4G, and Wi-Fi simultaneously can lead to increased robustness, resiliency, and capacity for mobile users. However, transparently implementing packet distribution over multiple paths within the core of the network faces multiple challenges including scalability to a large number of customers, low latency, and high-capacity packet processing requirements. In this paper, we offload congestion-aware multipath packet scheduling to a smartNIC. However, such hardware acceleration faces multiple challenges due to programming language and platform limitations. We implement different multipath schedulers in P4 with different complexity in order to cope with dynamically changing path capacities. Using testbed measurements, we show that our CMon scheduler, which monitors path congestion in the data plane and dynamically adjusts scheduling weights for the different paths based on path state information, can process more than 3.5 Mpps packets 25 μs latency.
This document presents a networking latency measurement setup that focuses on affordability and universal applicability, and can provide sub-microsecond accuracy. It explains the prerequisites, hardware choices, and considerations to respect during measurement. In addition, it discusses the necessity for exhaustive latency measurements when dealing with high availability and low latency requirements. Preliminary results show that the accuracy is within ±0.02 μs when used with the Intel I350-T2 network adapter.
This paper examines the potential reinforcement of motivated beliefs when individuals with identical biases communicate. We propose a controlled online experiment that allows to manipulate belief biases and the communication environment. We find that communication, even among like-minded individuals, diminishes motivated beliefs if it takes place in an environment without previously declared external opinions. In the presence of external plural opinions, however, communication does not reduce but rather aggravates motivated beliefs. Our results indicate a potential drawback of the plurality of opinions - it may create communication environments wherein motivated beliefs not only persist but also become contagious within social networks.
For decades autonomy has been utilised as a concept in various social sciences, like sociology, political science, law and philosophy. Certain concepts of autonomy have always reflected the needs of the respective disciplines that made use of the term, but also ever infringed on the interpretation of autonomy in other disciplines. Most notably, conceptualisations of international and constitutional law have found their way into bordering sciences, like political science. The result: a legal positivist view prevailing in the conceptualisations of autonomy within political and administrative sciences. As this working paper points out, this perspective does not do justice to the complex phenomenon autonomy is or may be in social and political reality. Hence, the paper argues for a differentiated concept of autonomy, splitting it into autonomy claims, actors, process, rights and powers, regimes, and their institutions. The empirical world suggests a salience of formally and informally lived types of autonomy, especially in Latin America, due to the region’s indigenous population often living outside of, or within the limited reach of the state. Therefore, the paper aims to incorporate the dimension of informality – lacking in previous legal positivist approaches. Autonomy regimes could be entrenched in international, constitutional, or secondary law, or they could be tolerated by the state or seized by autonomy claimants by force. From a theoretical or conceptual perspective, the dimension of (in)formality facilitates the incorporation of autonomy into the discussion on governance and government, mostly on the local or regional level. Thus, the paper establishes autonomy regimes as a concept located at the verges of (self-)government and (self-)governance.
The emerging serverless computing may meet Edge Cloud in a beneficial manner as the two offer flexibility and dynamicity in optimizing finite hardware resources. However, the lack of proper study of a joint platform leaves a gap in literature about consumption and performance of such integration. To this end, this paper identifies the key questions and proposes a methodology to answer them.
The Vacaciones en Paz programme (VeP) started in 1979 shortly after Morocco illegally occupied Western Sahara, which since 1975 has been a disputed territory pending a referendum for self-determination. The programme consists of Sahrawi children being hosted during summer by Spanish families who try to raise awareness for the Sahrawi cause and temporarily alleviate the children’s living conditions. Meanwhile, approximately 170,000 Sahrawi refugees live in camps near Tindouf (Algeria) heavily dependent on humanitarian aid for their survival.
This study aimed to determine the impact of the VeP programme on the promotion of children’s rights based on the perspective of Sahrawi children. Research has shown that it serves as a temporary platform to implement some of those rights. This qualitative study is based on a literature review of the principles of the VeP programme, alongside a thematic analysis of the field data provided by Sahrawi children and teenagers. Analysis of the VeP programme demonstrated that the Convention of the Rights of the Child is not mentioned in its discourse. Notwithstanding, the results indicate an impact on the promotion of Sahrawi children’s rights. On this basis, it is recommended to implement a children’s rights-based discourse within the principles of the VeP programme, since the theoretical knowledge of their rights may be a key factor for strategic empowerment of Sahrawi children and teenagers in their representation of the Sahrawi cause.
Today’s advanced Internet-of-Things applications raise technical challenges on cloud, edge, and fog computing. The design of an efficient, virtualized, context-aware, self-configuring orchestration system of a fog computing system constitutes a major development effort within this very innovative area of research. In this paper we describe the architecture and relevant implementation aspects of a cloudless resource monitoring system interworking with an SDN/NFV infrastructure. It realizes the basic monitoring component of the fundamental MAPE-K principles employed in autonomic computing. Here we present the hierarchical layering and functionality within the underlying fog nodes to generate a working prototype of an intelligent, self-managed orchestrator for advanced IoT applications and services. The latter system has the capability to monitor automatically various performance aspects of the resource allocation among multiple hosts of a fog computing system interconnected by SDN.
In recent years several community testbeds as well as participatory sensing platforms have successfully established themselves to provide open data to everyone interested. Each of them with a specific goal in mind, ranging from collecting radio coverage data up to environmental and radiation data. Such data can be used by the community in their decision making, whether to subscribe to a specific mobile phone service that provides good coverage in an area or in finding a sunny and warm region for the summer holidays.
However, the existing platforms are usually limiting themselves to directly measurable network QoS. If such a crowdsourced data set provides more in-depth derived measures, this would enable an even better decision making. A community-driven crowdsensing platform that derives spatial application-layer user experience from resource-friendly bandwidth estimates would be such a case, video streaming services come to mind as a prime example. In this paper we present a concept for such a system based on an initial prototype that eases the collection of data necessary to determine mobile-specific QoE at large scale. In addition we reason why the simple quality metric proposed here can hold its own.
Data as the new driver for growth? European and Chinese perspectives on the new factor of production
(2021)
Amidst an emerging international systemic competition between China and the Western world, China’s sustained high economic growth rates, technological innovations and successful control of the corona pandemic have raised doubts over the West’s systemic capabilities. In this context, data resources and regimes play an increasing role.
This research note looks at data as present and future driver of innovation and economic growth in more detail. It compares the Chinese and the European perspective on data as well as their respective (planned) policy measures in order to draw tentative conclusions about their different approaches' implications.
This work proposes a novel approach to disperse dense transmission intervals and reduce bursty traffic patterns without the need for centralized control. Furthermore, by keeping the mechanism as close to the Long Range Wide Area Network (LoRaWAN) standard as possible the suggested mechanism can be deployed within existing networks and can even be co-deployed with other devices.
Does Gender Matter for the Entrepreneurship Fairy Tale? An Analysis of Chinese Unicorn Start-ups
(2021)
Start-up ecosystems around the world have created a large number of successful and innovative unicorn companies in recent years. Our research note focuses on the case of China and offers a global comparative perspective on the current status of Chinese unicorn start-ups and their founding structure. We identify a predominantly male unicorn founding structure and illustrate a worrying decline of female entrepreneurship in China.
Shannon channel capacity estimation, based on large packet length is used in traditional Radio Resource Management (RRM) optimization. This is good for the normal transmission of data in a wired or wireless system. For industrial automation and control, rather short packages are used due to the short-latency requirements. Using Shannon’s formula leads in this case to inaccurate RRM solutions, thus another formula should be used to optimize radio resources in short block-length packet transmission, which is the basic of Ultra-Reliable Low-Latency Communications (URLLCs). The stringent requirement of delay Quality of Service (QoS) for URLLCs requires a link-level channel model rather than a physical level channel model. After finding the basic and accurate formula of the achievable rate of short block-length packet transmission, the RRM optimization problem can be accurately formulated and solved under the new constraints of URLLCs. In this short paper, the current mathematical models, which are used in formulating the effective transmission rate of URLLCs, will be briefly explained. Then, using this rate in RRM for URLLC will be discussed.
The analysis of the 2014 elections to Lok Sabha in India describes the results and their enormous extent with a differentiate regard to social group voting. Considering the election campaign’s performativity and issues of contestation the landslide victory of BJP (Bharatiya Janata Party) will be illuminated. Through a closer examination of party coalitions, the electoral system, and the leadership factor the BJP’s clear victory over Congress Party will be explained. Besides the opportunity for significant economic and political reforms, the author conjectures a potential for dangerous tendencies to Indian democracy owing to such a resourceful government, which are compared with the government constraints, especially by federal arrangements.
The second part of the article argues that civil society in India is composed of several layers that are distinct and overlap at the same time. Five versions of the same are significant: 1) institutions avowing secular nationalism that upholds inclusive citizenship, equality of treatment, and non-discrimination; 2) a phalanx of institutions inspired by the Gandhian idea of swaraj that are deeply vary of the state and its apparatus and envisage a life of freedom constituted around self-determining associations built from below; 3) such orientations and impulses which stress on religiously inspired values and traditions with its archetypal representation in Hindu nationalism; 4) those who highlight difference and diversity as central to Indian society and stress this fact as foundational to Indian nationalism; 5) and those who are in favour of a right-based approach to citizenship and rule of law in India. Alluding to these distinctive domains constitutive of civil society in India the paper argues that the success of the Bharatiya Janata Party, and the coalition that it led, in the General elections of 2014 rested on its ability in tapping resources from different layers of civil society while making institutions woven around Hindu identity as its anchor.
Packets sent over a network can either get lost or reach their destination. Protocols like TCP try to solve this problem by resending the lost packets. However, retransmissions consume a lot of time and are cumbersome for the transmission of critical data. Multipath solutions are quite common to address this reliability issue and are available on almost every layer of the ISO/OSI model. We propose a solution based on a P4 network to duplicate packets in order to send them to their destination via multiple routes. The last network hop ensures that only a single copy of the traffic is further forwarded to its destination by adopting a concept similar to Bloom filters. Besides, if fast delivery is requested we provide a P4 prototype, which randomly forwards the packets over different transmission paths. For reproducibility, we implement our approach in a container-based network emulation system called Kathará.
In time-sensitive networks (TSN) based on 802.1Qbv, i.e., the time-aware Shaper (TAS) protocol, precise transmission schedules and, paths are used to ensure end-to-end deterministic communication. Such resource reservations for data flows are usually established at the startup time of an application and remain untouched until the flow ends. There is no way to migrate existing flows easily to alternative paths without inducing additional delay or wasting resources. Therefore, some of the new flows cannot be embedded due to capacity limitations on certain links which leads to sub-optimal flow assignment. As future networks will need to support a large number of lowlatency flows, accommodating new flows at runtime and adapting existing flows accordingly becomes a challenging problem. In this extended abstract we summarize a previously published paper of us [1]. We combine software-defined networking (SDN), which provides better control of network flows, with TSN to be able to seamlessly migrate time-sensitive flows. For that, we formulate an optimization problem and propose different dynamic path configuration strategies under deterministic communication requirements. Our simulation results indicate that regularly reconfiguring the flow assignments can improve the latency of time-sensitive flows and can increase the number of flows embedded in the network around 4% in worst-case scenarios while still satisfying individual flow deadlines.
India's economic rise since the 1990s has been followed by a more prominent global role for the country. Despite economic setbacks in recent years and huge domestic challenges like poverty, caste issues, and gender inequality, India today is almost universally characterised as an “emerging power”. At the same time, the country continues to show an enormous diversity. Thus, exploring emerging India can surely not be confined to economic analysis only. Instead, it is vital to take current developments in domestic and international politics, society, culture, religion, and political thinking into consideration as well. Following an interdisciplinary approach, contributions from Political Science, International Relations, Indology, Political Theory, and Economics are fundamental in order to grasp the country's diversity. This collection assembles eight essays which, individually, serve as working papers reflecting the authors' various research focuses, while collectively composing a multifaceted and multidis-ciplinary picture of emerging India. It thereby reflects the approach the University of Würz-burg’s Centre for Modern India and the Institute for Political Science and Sociology’s India Forum are committed to: bringing together different academic disciplines in order to generate nuanced insights into India’s manifold diversity.
Service orchestration requires enormous attention and is a struggle nowadays. Of course, virtualization provides a base level of abstraction for services to be deployable on a lot of infrastructures. With container virtualization, the trend to migrate applications to a micro-services level in order to be executable in Fog and Edge Computing environments increases manageability and maintenance efforts rapidly. Similarly, network virtualization adds effort to calibrate IP flows for Software-Defined Networks and eventually route it by means of Network Function Virtualization. Nevertheless, there are concepts like MAPE-K to support micro-service distribution in next-generation cloud and network environments. We want to explore, how a service distribution can be improved by adopting machine learning concepts for infrastructure or service changes. Therefore, we show how federated machine learning is integrated into a cloud-to-fog-continuum without burdening single nodes.
How to Model and Predict the Scalability of a Hardware-In-The-Loop Test Bench for Data Re-Injection?
(2023)
This paper describes a novel application of an empirical network calculus model based on measurements of a hardware-in-the-loop (HIL) test system. The aim is to predict the performance of a HIL test bench for open-loop re-injection in the context of scalability. HIL test benches are distributed computer systems including software, hardware, and networking devices. They are used to validate complex technical systems, but have not yet been system under study themselves. Our approach is to use measurements from the HIL system to create an empirical model for arrival and service curves. We predict the performance and design the previously unknown parameters of the HIL simulator with network calculus (NC), namely the buffer sizes and the minimum needed pre-buffer time for the playback buffer. We furthermore show, that it is possible to estimate the CPU load from arrival and service-curves based on the utilization theorem, and hence estimate the scalability of the HIL system in the context of the number of sensor streams.