Orchestrating a Resource-aware Edge - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Orchestrating a Resource-aware Edge write by Klervie Toczé. This book was released on 2024-09-02. Orchestrating a Resource-aware Edge available in PDF, EPUB and Kindle. More and more services are moving to the cloud, attracted by the promise of unlimited resources that are accessible anytime, and are managed by someone else. However, hosting every type of service in large cloud datacenters is not possible or suitable, as some emerging applications have stringent latency or privacy requirements, while also handling huge amounts of data. Therefore, in recent years, a new paradigm has been proposed to address the needs of these applications: the edge computing paradigm. Resources provided at the edge (e.g., for computation and communication) are constrained, hence resource management is of crucial importance. The incoming load to the edge infrastructure varies both in time and space. Managing the edge infrastructure so that the appropriate resources are available at the required time and location is called orchestrating. This is especially challenging in case of sudden load spikes and when the orchestration impact itself has to be limited. This thesis enables edge computing orchestration with increased resource-awareness by contributing with methods, techniques, and concepts for edge resource management. First, it proposes methods to better understand the edge resource demand. Second, it provides solutions on the supply side for orchestrating edge resources with different characteristics in order to serve edge applications with satisfactory quality of service. Finally, the thesis includes a critical perspective on the paradigm, by considering sustainability challenges. To understand the demand patterns, the thesis presents a methodology for categorizing the large variety of use cases that are proposed in the literature as potential applications for edge computing. The thesis also proposes methods for characterizing and modeling applications, as well as for gathering traces from real applications and analyzing them. These different approaches are applied to a prototype from a typical edge application domain: Mixed Reality. The important insight here is that application descriptions or models that are not based on a real application may not be giving an accurate picture of the load. This can drive incorrect decisions about what should be done on the supply side and thus waste resources. Regarding resource supply, the thesis proposes two orchestration frameworks for managing edge resources and successfully dealing with load spikes while avoiding over-provisioning. The first one utilizes mobile edge devices while the second leverages the concept of spare devices. Then, focusing on the request placement part of orchestration, the thesis formalizes it in the case of applications structured as chains of functions (so-called microservices) as an instance of the Traveling Purchaser Problem and solves it using Integer Linear Programming. Two different energy metrics influencing request placement decisions are proposed and evaluated. Finally, the thesis explores further resource awareness. Sustainability challenges that should be highlighted more within edge computing are collected. Among those related to resource use, the strategy of sufficiency is promoted as a way forward. It involves aiming at only using the needed resources (no more, no less) with a goal of reducing resource usage. Different tools to adopt it are proposed and their use demonstrated through a case study.
Latency-aware Resource Management at the Edge
Latency-aware Resource Management at the Edge - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Latency-aware Resource Management at the Edge write by Klervie Toczé. This book was released on 2020-02-19. Latency-aware Resource Management at the Edge available in PDF, EPUB and Kindle. The increasing diversity of connected devices leads to new application domains being envisioned. Some of these need ultra low latency or have privacy requirements that cannot be satisfied by the current cloud. By bringing resources closer to the end user, the recent edge computing paradigm aims to enable such applications. One critical aspect to ensure the successful deployment of the edge computing paradigm is efficient resource management. Indeed, obtaining the needed resources is crucial for the applications using the edge, but the resource picture of this paradigm is complex. First, as opposed to the nearly infinite resources provided by the cloud, the edge devices have finite resources. Moreover, different resource types are required depending on the applications and the devices supplying those resources are very heterogeneous. This thesis studies several challenges towards enabling efficient resource management for edge computing. The thesis begins by a review of the state-of-the-art research focusing on resource management in the edge computing context. A taxonomy is proposed for providing an overview of the current research and identify areas in need of further work. One of the identified challenges is studying the resource supply organization in the case where a mix of mobile and stationary devices is used to provide the edge resources. The ORCH framework is proposed as a means to orchestrate this edge device mix. The evaluation performed in a simulator shows that this combination of devices enables higher quality of service for latency-critical tasks. Another area is understanding the resource demand side. The thesis presents a study of the workload of a killer application for edge computing: mixed reality. The MR-Leo prototype is designed and used as a vehicle to understand the end-to-end latency, the throughput, and the characteristics of the workload for this type of application. A method for modeling the workload of an application is devised and applied to MR-Leo in order to obtain a synthetic workload exhibiting the same characteristics, which can be used in further studies.
Cloud Computing and Services Science
Cloud Computing and Services Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cloud Computing and Services Science write by Maarten van Steen. This book was released on . Cloud Computing and Services Science available in PDF, EPUB and Kindle.
Science and Technologies for Smart Cities
Science and Technologies for Smart Cities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Science and Technologies for Smart Cities write by Sara Paiva. This book was released on 2022-06-16. Science and Technologies for Smart Cities available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 7th Annual SmartCity360° Summit which was organized in November 2021 in Porto, Portugal. Due to COVID-19 pandemic the conference was held virtually. The volume combines selected papers of 6 conferences, namely EdgeIoT 2021 - International Conference on Intelligent Edge Processing in the IoT Era; IC4S 2021 - International Conference on Cognitive Computing and Cyber Physical Systems; SmartGov 2021 - International Conference on Smart Governance for Sustainable Smart Cities; SmartGift 2021 - International Conference on Smart Grid and Innovative Frontiers in Telecommunications; e PFSM 2021 - International Conference on Privacy and Forensics in Smart Mobility. The 45 full papers were carefully selected from 109 submissions. The papers are organized in four thematic sections on Smart Grid and Innovative Frontiers in Telecommunications; Smart Governance for Sustainable Smart Cities; Privacy and Forensics in Smart Mobility; and Sensor Systems and Software.
The Cloud-to-Thing Continuum
The Cloud-to-Thing Continuum - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Cloud-to-Thing Continuum write by Theo Lynn. This book was released on 2020-07-07. The Cloud-to-Thing Continuum available in PDF, EPUB and Kindle. The Internet of Things offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it. This Open Access Pivot explores these challenges, presenting the state of the art and future directions for research but also frameworks for making sense of this complex area. This book provides a variety of perspectives on how technology innovations such as fog, edge and dew computing, 5G networks, and distributed intelligence are making us rethink conventional cloud computing to support the Internet of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value of the Internet of Things are still missing. We provide a value mapping framework for the Internet of Things to address this gap. While there is much hype about theInternet of Things, we have yet to reach the tipping point. As such, this book provides a timely entrée for higher education educators, researchers and students, industry and policy makers on the technologies that promise to reshape how society interacts and operates.
