The blockchain is a distributed public ledger technology that originates from the digital crypto currency bitcoin. Blockchain's key advantages include decentralization, time-series data, collective maintenance, pr...
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The benefits of computing to systems that can be integrated with computers due to their multitasking ability are being improved by distributed and cloud computing developments. This is already the case (SG) when talki...
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How should we build applications for large-scale networked embedded systems - now in the incarnation of the Internet of Things - when we do not want to rely on the existence of a persistent connection to a remote data...
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ISBN:
(纸本)9798400703669
How should we build applications for large-scale networked embedded systems - now in the incarnation of the Internet of Things - when we do not want to rely on the existence of a persistent connection to a remote data center? We present the design and implementation of a system, which we call Djenne, that can aggregate the computational power of the distributed devices because the increased capacity of these devices does allow for substantial work closer to the devices. The challenge that we overcome with Djenne is dependability: how can we cope with failures and the dynamics of wireless network links in such systems? Our design uses the actor model of computation and relies on replicated services to improve reliability and to create opportunities for parallelism that increase task throughput. The key innovations in our work are the use of adaptive mechanisms for rerouting data when system conditions change significantly as well as a holistic recovery approach when computations need to be repeated in the distributed system. Via experimental evaluation, we find that Djenne can improve throughput by 30% to 190% for different use cases while ensuring resilience in the face of intermittent failures.
Aiming at the existing problems in French education, a set of intelligent French teaching system with independent intellectual property rights is designed and implemented. Based on cloud computing, the system realizes...
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The distributed generation is aimed at optimizing the operation of distribution network to reduce losses. Many researchers have conducted this type of research and found that this method can be used to improve the per...
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Data processing and publication are crucial today with the advancements in technologies such as edge computing and IoT(Internet of Things). A vast volume of data is being generated by internet-connected devices, often...
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The flexibility of cloud computing has ushered in a new digital era, giving businesses more freedom, prospects for expansion, and lower costs. Cloud computing raises worries about cost, security, and performance. To a...
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This study provides a comprehensive overview of blockchain technology, discusses its characteristics, and explains the hierarchical structure of the blockchain. Additionally, the study provides an in-depth analysis of...
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Scalability and management cost in cloud computing are few of the top challenges for the cloud providers and large enterprises. In this paper, we present Arktos, a cloud infrastructure platform for managing large-scal...
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ISBN:
(纸本)9781665460873
Scalability and management cost in cloud computing are few of the top challenges for the cloud providers and large enterprises. In this paper, we present Arktos, a cloud infrastructure platform for managing large-scale compute clusters and running millions of application instances as containers and/or virtual machines (VM). Arktos is envisioned as a stepping-stone from current "single-region" focused cloud infrastructure towards next generation distributed infrastructure in the public and/or private cloud environments. We present details related to the Arktos system architecture and features, important design decisions, and the results and analysis of the performance benchmark testing. Arktos achieves high scalability by partitioning its architecture into two independent components, the resource partition (RP) and the tenant workload partition (TP), with each component scaling independently. Our performance testing using a benchmark tool demonstrates that Arktos with just two RPs and two TPs system setting can already manage a cluster of 50K compute nodes and is able to run 1.5 million workload containers with 5 times system throughput (QPS)1 compared with an existing container management system. Three key characteristics differentiate Arktos from other open source cloud platforms such as OpenStack and Kubernetes. Firstly, Arktos architecture is a truly scalable architecture that supports a very large cluster by scaling to more RPs and TPs in the system, Secondly, it unifies the runtime infrastructure to run and manage both VM and container applications natively, therefore eliminating the cost of managing separate technology stacks for VMs and containers. Lastly, Arktos has a unique "virtual cluster" style multi-tenancy design that provides both strong tenancy isolation, including network isolation and transparent resource view.
The widespread adoption of Artificial intelligence and Machine Learning (AI/ML) models across various fields, such as healthcare, autonomous vehicles, smart agriculture, and industrial automation, has led to a growing...
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