Scheduling & routing time-triggered traffic in time-sensitive networks

The application of recent advances in computing, cognitive and networking technologies in manufacturing has triggered the so-called fourth industrial revolution, also referred to as Industry 4.0. Smart and flexible manufacturing systems are being conceived as a part of the Industry 4.0 initiative to meet the challenging requirements of the modern day manufacturers, e.g., production batch sizes of one. The information and communication technologies (ICT) infrastructure in such smart factories is expected to host heterogeneous applications ranging from the time-sensitive cyber-physical systems regulating physical processes in the manufacturing shopfloor to the soft real-time analytics applications predicting anomalies in the assembly line. Given the diverse demands of the applications, a single converged network providing different levels of communication guarantees to the applications based on their requirements is desired. Ethernet, on account of its ubiquity and its steadily growing performance along with shrinking costs, has emerged as a popular choice as a converged network. However, Ethernet networks, primarily designed for best-effort communication services, cannot provide strict guarantees like bounded end-to-end latency and jitter for real-time traffic without additional enhancements. Two major standardization bodies, viz., the IEEE Time-sensitive Networking (TSN) Task Group (TG) and the IETF Deterministic Networking (DetNets) Working Group are striving towards equipping Ethernet networks with mechanisms that would enable it to support different classes of real-time traffic. In this thesis, we focus on handling the time-triggered traffic (primarily periodic in nature) stemming from the hard real-time cyber-physical systems embedded in the manufacturing shopfloor over Ethernet networks. The basic approach for this is to schedule the transmissions of the time-triggered data streams appropriately through the network and ensure that the allocated schedules are adhered with. This approach leverages the possibility to precisely synchronize the clocks of the network participants, i.e., end systems and switches, using time synchronization protocols like the IEEE 1588 Precision Time Protocol (PTP). Based on the capabilities of the network participants, the responsibility of enforcing these schedules can be distributed. An important point to note is that the network utilization with respect to the time-triggered data streams depends on the computed schedules. Furthermore, the routing of the time-triggered data streams also influences the computed transmission schedules, and thus, affects the network utilization. The question however remains as to how to compute transmission schedules for time-triggered data streams along with their routes so that an optimal network utilization can be achieved. We explore, in this thesis, the scheduling and routing problems with respect to the time-triggered data streams in Ethernet networks. The recently published IEEE 802.1Qbv standard from the TSN-TG provides programmable gating mechanisms for the switches enabling them to schedule transmissions. Meanwhile, the extensions specified in the IEEE 802.1Qca standard or the primitives provided by OpenFlow, the popular southbound software-defined networking (SDN) protocol, can be used for gaining an explicit control over the routing of the data streams. Using these mechanisms, the responsibility of enforcing transmission schedules can be taken over by the end systems as well as the switches in the network. Alternatively, the scheduling can be enforced only by the end systems or only by the switches. Furthermore, routing alone can also be used to isolate time-triggered data streams, and thus, bound the latency and jitter experienced by the data streams in absence of synchronized clocks in the network. For each of the aforementioned cases, we formulate the scheduling and routing problem using Integer Linear Programming (ILP) for static as well as dynamic scenarios. The static scenario deals with the computation of schedules and routes for time-triggered data streams with a priori knowledge of their specifications. Here, we focus on computing schedules and routes that are optimal with respect to the network utilization. Given that the scheduling problems in the static setting have a high time-complexity, we also present efficient heuristics to approximate the optimal solution. With the dynamic scheduling problem, we address the modifications to the computed transmission schedules for adding further or removing already scheduled time-triggered data streams. Here, the focus lies on reducing the runtime of the scheduling and routing algorithms, and thus, have lower set-up times for adding new data streams into the network

Accelerated computation using runtime partial reconfiguration

Runtime reconfigurable architectures, which integrate a hard processor core along with a reconfigurable fabric on a single device, allow to accelerate a computation by means of hardware accelerators implemented in the reconfigurable fabric. Runtime partial reconfiguration provides the flexibility to dynamically change these hardware accelerators to adapt the computing capacity of the system. This thesis presents the evaluation of design paradigms which exploit partial reconfiguration to implement compute intensive applications on such runtime reconfigurable architectures. For this purpose, image processing applications are implemented on Zynq-7000, a System on a Chip (SoC) from Xilinx Inc. which integrates an ARM Cortex A9 with a reconfigurable fabric. This thesis studies different image processing applications to select suitable candidates that benefit if implemented on the above mentioned class of reconfigurable architectures using runtime partial reconfiguration. Different Intellectual Property (IP) cores for executing basic image operations are generated using high level synthesis for the implementation. A software based scheduler, executed in the Linux environment running on the ARM core, is responsible for implementing the image processing application by means of loading appropriate IP cores into the reconfigurable fabric. The implementation is evaluated to measure the application speed up, resource savings, power savings and the delay on account of partial reconfiguration. The results of the thesis suggest that the use of partial reconfiguration to implement an application provides FPGA resource savings. The extent of resource savings depend on the granularity of the operations into which the application is decomposed. The thesis could also establish that runtime partial reconfiguration can be used to accelerate the computations in reconfigurable architectures with processor core like the Zynq-7000 platform. The achieved computational speed-up depends on factors like the number of hardware accelerators used for the computation and the used reconfiguration schedule. The thesis also highlights the power savings that may be achieved by executing computations in the reconfigurable fabric instead of the processor core

Towards In-Network Computing Infrastructures for Connected Vehicles

The demands of Highly Automated Driving (HAD) applications with respect to the underlying computing and networking infrastructure vary widely from the contemporary cloud applications. Named Function Networking (NFN) as a computing concept along with loose coupling provided by the Information Centric Networking (ICN) enables implementation of several usecases with respect to autonomous driving. In this paper, we present NFN for automotive applications with modified resolution strategies along with a proof-of-concept implementation

Food consumption behavior of youth at branded fast food outlets in Chandigarh

The fast food industry is one of the world’s fastest growing sectors in the food service industry. However, over the last two decades, with a growth in the number of nuclear families, economic growth and increasing per capita income as well as globalization, the fast food culture has gained prominence in India. Chandigarh, which is the capital city of Punjab and Haryana, is a hub for the majority of fast food chains. This is fundamentally due to the relatively rapid increase in discretionary income amongst mainly the youth. This study, which was carried out in order to try understand youth consumption behavior at branded fast food outlets in Chandigarh, revealed that the majority of the respondents prefer pizza, combo meals and burgers, followed by milkshakes and juices as beverages of choice. Furthermore, they prefer to go to fast food outlets with their friends and family at standalone outlets, and outlets inside malls and multiplexes which are next-in-line preferences. Cash is used as the major mode of payment followed by debit and credit card for settling of bills. Finally, when analyzing choices for fast food outlets, price is considered to be the major factor, followed by brand name, variety, home delivery and sales promotion techniques which lure people to the respective outlets

Enhancement of the optical gain in GaAs nanocylinders for nanophotonic applications

Semiconductor nanolasers based on micro disks, photonic crystal cavities, and metallo-dielectric nanocavities have been studied during the last decade for on-chip light source applications. However, practical realization of low threshold, room temperature operation of semiconductor nanolasers is still a challenge due to the large surface-to-volume ratio of the nanostructures, which results in low optical gain and hence higher lasing threshold. Also, the gain in nanostructures is an important parameter for designing all-dielectric metamaterial-based active applications. Here, we investigate the impact of p-type doping, compressive strain, and surface recombination on the gain spectrum and the spatial distribution of carriers in GaAs nanocylinders. Our analysis reveals that the lasing threshold can be lowered by choosing the right doping concentration in the active III-V material combined with compressive strain. This combination of strain and p-type doping shows 100x improvement in gain and ~5 times increase in modulation bandwidth for high-speed operation.Comment: 19 pages, 6 figure

Molecular and functional diversity in Capsicum landraces of Andaman Islands

The present study analyzed the diversity in 26 landraces of Capsicum from Andaman Islands using 20 morphological, 16 biochemical and 10 DNA markers. Significant differences were observed in tested landraces and 16 reference genotypes from mainland India. Biochemical markers grouped all the genotypes into eight clusters with inter-cluster distance of 0.5 to 1.9 while seven quantified morphological traits divided the test genotypes into three major clusters and seven sub-clusters with 0.1 to 1.6 inter-cluster distance value. The random amplified polymorphic DNA (RAPD) and inter simple sequence repeat (ISSR) markers assured the genetic nature of diversity in landraces. The similarity matrix from RAPD and ISSR markers revealed 48% diversity among 42 genotypes with polymorphism information content (PIC) values of 0.43 and 0.41, respectively. The correspondence in morphological and biochemical markers indicates their interdependence for observed traits. However, poor correlation between DNA profiles and functional markers suggest further screening of more number of markers.The study identified phytochemical rich landraces CA-334, SPG-7, CARI-1 and CCB-2. The information will be useful in chemo-taxonomic foot-printing of Capsicum landraces and devising apposite conservation and utilization strategies.Keywords: Capsicum, landraces, functional diversity, chemo-taxonomic diversity, DNA markersAfrican Journal of Biotechnology Vol. 12(39), pp. 5729-573

An SDN Architecture for Automotive Ethernets

Road vehicles are equipped with a rising number of driver assistance systems resulting in increasing bandwidth demand and need for reconfiguration that are difficult to satisfy with traditional in-vehicle networks. As a result, automotive Ethernet networks become more common. With rising complexity of in-vehicle networks, new requirements emerge and call for more flexible automotive network architectures. In this work, we give examples of how Ethernet-based automotive network architectures can profit from software-defined networking (SDN) and present an SDN-based architecture that allows to reconfigure the network dynamically

Incidence and Determinants of Low birth weight babies at rural tertiary care hospital in central Uttar Pradesh

Background: An infant’s birth weight is a reliable index of intrauterine growth and a sensitive predictor of newborn chances of survival, growth and long-term physical and psychosocial development. Low birth weight has been defined as birth weight <2.5 kg regardless of gestational age. The incidence of low birth weight (LBW) in India varies between 25–30% and of which 60–65% are because of intrauterine growth retardation. Aim & Objective: To determine the incidence and various determinants of low birth weight among babies delivered at rural tertiary care hospitals in central Uttar Pradesh. Methods and Material: The study was conducted at UPUMS, Saifai, Etawah, among pregnant women who delivered babies from 1st January 2018 to 31st December 2018. Details regarding age of the mother, gravida, parity, gestation period, presence of complications, the procedure for delivery and birth weight of the newborn were recorded and analyzed using SPSS software (version 23)   Results: A total of 7615 deliveries were conducted (53.2% were males, 46.8% were females). The mean birth weight of babies was 2.65 Kg with S.D ± 0.52. Preterm babies were 32% while 67% were term babies and 23% of babies were low birth weight. There was a statistically significant association between birth weight of babies and factors like age of mother, parity of mother, gestation period, and presence of complications during the antenatal period. Conclusions: Prompt identification of high-risk factors, prevention of premature delivery, increasing the use of health services during pregnancy and management of the risk factors would reduce the incidence of low birth weight

Synthesis, Dielectric and Electrical Properties of Silver-Polymer Nanocomposites

Metallic nanoparticles and its composites have emerged as valuable asset in all phases of material science and engineering including electronic, optics and electromagnetic domains. Silver nanoparticles (Ag NPs) are one of the most vital and fascinating nanomaterials among several metallic nanoparticles due to its large surface ratio and outstanding properties with diverse field of potential applications. We demonstrated various synthesis techniques of nanocomposites, silver nanoparticles and composite based on these particles have shown great importance because of the remarkable properties (high electrical and thermal conductivity, good chemical stability and catalytic properties) of silver nanoparticles. This chapter provides various synthesis techniques for preparation of silver nanoparticles and their composites with dielectric and electrical properties in a lucid manner. The detail discussions of silver-polymer nanocomposites, emphasizing on each individual synthesis routes and properties have been carried out

The Changing Landscape for Stroke\ua0Prevention in AF: Findings From the GLORIA-AF Registry Phase 2

Background GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation) is a prospective, global registry program describing antithrombotic treatment patterns in patients with newly diagnosed nonvalvular atrial fibrillation at risk of stroke. Phase 2 began when dabigatran, the first non\u2013vitamin K antagonist oral anticoagulant (NOAC), became available. Objectives This study sought to describe phase 2 baseline data and compare these with the pre-NOAC era collected during phase 1. Methods During phase 2, 15,641 consenting patients were enrolled (November 2011 to December 2014); 15,092 were eligible. This pre-specified cross-sectional analysis describes eligible patients\u2019 baseline characteristics. Atrial fibrillation disease characteristics, medical outcomes, and concomitant diseases and medications were collected. Data were analyzed using descriptive statistics. Results Of the total patients, 45.5% were female; median age was 71 (interquartile range: 64, 78) years. Patients were from Europe (47.1%), North America (22.5%), Asia (20.3%), Latin America (6.0%), and the Middle East/Africa (4.0%). Most had high stroke risk (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age  6575 years, Diabetes mellitus, previous Stroke, Vascular disease, Age 65 to 74 years, Sex category] score  652; 86.1%); 13.9% had moderate risk (CHA2DS2-VASc = 1). Overall, 79.9% received oral anticoagulants, of whom 47.6% received NOAC and 32.3% vitamin K antagonists (VKA); 12.1% received antiplatelet agents; 7.8% received no antithrombotic treatment. For comparison, the proportion of phase 1 patients (of N = 1,063 all eligible) prescribed VKA was 32.8%, acetylsalicylic acid 41.7%, and no therapy 20.2%. In Europe in phase 2, treatment with NOAC was more common than VKA (52.3% and 37.8%, respectively); 6.0% of patients received antiplatelet treatment; and 3.8% received no antithrombotic treatment. In North America, 52.1%, 26.2%, and 14.0% of patients received NOAC, VKA, and antiplatelet drugs, respectively; 7.5% received no antithrombotic treatment. NOAC use was less common in Asia (27.7%), where 27.5% of patients received VKA, 25.0% antiplatelet drugs, and 19.8% no antithrombotic treatment. Conclusions The baseline data from GLORIA-AF phase 2 demonstrate that in newly diagnosed nonvalvular atrial fibrillation patients, NOAC have been highly adopted into practice, becoming more frequently prescribed than VKA in Europe and North America. Worldwide, however, a large proportion of patients remain undertreated, particularly in Asia and North America. (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation [GLORIA-AF]; NCT01468701