248 research outputs found
Online Combinatorial Auctions for Resource Allocation with Supply Costs and Capacity Limits
We study a general online combinatorial auction problem in algorithmic
mechanism design. A provider allocates multiple types of capacity-limited
resources to customers that arrive in a sequential and arbitrary manner. Each
customer has a private valuation function on bundles of resources that she can
purchase (e.g., a combination of different resources such as CPU and RAM in
cloud computing). The provider charges payment from customers who purchase a
bundle of resources and incurs an increasing supply cost with respect to the
totality of resources allocated. The goal is to maximize the social welfare,
namely, the total valuation of customers for their purchased bundles, minus the
total supply cost of the provider for all the resources that have been
allocated. We adopt the competitive analysis framework and provide posted-price
mechanisms with optimal competitive ratios. Our pricing mechanism is optimal in
the sense that no other online algorithms can achieve a better competitive
ratio. We validate the theoretic results via empirical studies of online
resource allocation in cloud computing. Our numerical results demonstrate that
the proposed pricing mechanism is competitive and robust against system
uncertainties and outperforms existing benchmarks.Comment: arXiv admin note: text overlap with arXiv:2004.0964
LIPIcs, Volume 261, ICALP 2023, Complete Volume
LIPIcs, Volume 261, ICALP 2023, Complete Volum
Fundamentals of Business
Fundamentals of Business, fourth edition (2023) is an open education resource intended to serve as a no-cost, faculty-customizable primary text for one-semester undergraduate introductory business courses. It covers the following topics in business: Teamwork; economics; ethics; entrepreneurship; business ownership, management, and leadership; organizational structures and operations management; human resources and motivating employees; managing in labor union contexts; marketing and pricing strategy; hospitality and tourism, accounting and finance, personal finances, and technology in business
Secure Communications in Next Generation Digital Aeronautical Datalinks
As of 2022, Air Traffic Management (ATM) is gradually digitizing to automate and secure data transmission in civil aviation. New digital data links like the L-band Digital Aeronautical Communications System (LDACS) are being introduced for this purpose.
LDACS is a cellular, ground-based digital communications system for flight guidance and safety. Unfortunately, LDACS and many other datalinks in civil aviation lack link layer security measures.
This doctoral thesis proposes a cybersecurity architecture for LDACS, developing various security measures to protect user and control data. These include two new authentication and key establishment protocols, along with a novel approach to secure control data of resource-constrained wireless communication systems.
Evaluations demonstrate a latency increase of 570 to 620 milliseconds when securely attaching an aircraft to an LDACS cell, along with a 5% to 10% security data overhead. Also, flight trials confirm that Ground-based Augmentation System (GBAS) can be securely transmitted via LDACS with over 99% availability.
These security solutions enable future aeronautical applications like 4D-Trajectories, paving the way for a digitized and automated future of civil aviation
LIPIcs, Volume 274, ESA 2023, Complete Volume
LIPIcs, Volume 274, ESA 2023, Complete Volum
Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico
Conference proceedings info:
ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies
Raleigh, HI, United States, March 24-26, 2023
Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center
of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático.
de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-
Machine learning and blockchain technologies for cybersecurity in connected vehicles
Future connected and autonomous vehicles (CAVs) must be secured againstcyberattacks for their everyday functions on the road so that safety of passengersand vehicles can be ensured. This article presents a holistic review of cybersecurityattacks on sensors and threats regardingmulti-modal sensor fusion. A compre-hensive review of cyberattacks on intra-vehicle and inter-vehicle communicationsis presented afterward. Besides the analysis of conventional cybersecurity threatsand countermeasures for CAV systems,a detailed review of modern machinelearning, federated learning, and blockchain approach is also conducted to safe-guard CAVs. Machine learning and data mining-aided intrusion detection systemsand other countermeasures dealing with these challenges are elaborated at theend of the related section. In the last section, research challenges and future direc-tions are identified
Advances in Information Security and Privacy
With the recent pandemic emergency, many people are spending their days in smart working and have increased their use of digital resources for both work and entertainment. The result is that the amount of digital information handled online is dramatically increased, and we can observe a significant increase in the number of attacks, breaches, and hacks. This Special Issue aims to establish the state of the art in protecting information by mitigating information risks. This objective is reached by presenting both surveys on specific topics and original approaches and solutions to specific problems. In total, 16 papers have been published in this Special Issue
Future Transportation
Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others
Game Theory Modeling For Decentralized Peer-To-Peer Solar Energy Market In Colombian Nanogrids
A medida que aumenta la microgeneración, el modelo centralizado de generación de electricidad se verá significativamente alterado. Uno de los nuevos modelos que se están investigando es la noción de un mercado de electricidad peer-to-peer en el que los prosumidores pueden comercializar sus excedentes de generación de electricidad a cualquier otro hogar. Este nuevo tipo de mercado transactivo de energía, y de autoconsumo comunitario o colectivo, ofrece nuevos modelos para comercializar energía localmente. En los últimos 10 años, ha habido un crecimiento significativo en la cantidad de literatura académica y proyectos de prueba que examinan cómo podrían funcionar estos modelos de comercio de energía. Los resultados muestran que el comercio de energía P2P brinda importantes beneficios financieros y técnicos a la comunidad y se perfila como una alternativa a los sistemas de almacenamiento de energía de alto costo. Este artículo investiga un posible modelo de teoría de juegos para las nanorredes colombianas y propone un nuevo algoritmo para automatizar la compra y venta de electricidad en este mercado, con el objetivo de optimizar el mercado y brindar un mayor control a los propietarios. Se encuentra que las nanoredes pueden mejorar la viabilidad financiera de los sistemas solares a nivel residencial, concluyendo que el futuro de los prosumidores solares residenciales va más allá del autoconsumo aislado.As microgeneration increases, the centralized model of electricity generation will be significantly altered. One of the new models being investigated is the notion of a peer-to-peer electricity market in which prosumers can market their electricity exports to any other household. This new kind of transactive energy market, and community or collective self-consumption, offer new models for trading energy locally. Over the past 10 years, there has been significant growth in the amount of academic literature and trial projects examining how these energy trading models might function. The results show that P2P energy trading provides significant financial and technical benefits to the community and is emerging as an alternative to cost-intensive energy storage systems. This paper investigates a possible game theoretic model for Colombian nanogrids and proposes a new algorithm for automating the sale and purchase of electricity in this market, aiming to optimize the market while providing increased control to householders. It is found that nanogrids may improve financial viability for solar systems at the residential level, concluding that the future for residential solar prosumers is beyond isolated self-consumption
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