Over the past few years especially in the context of communication and information processing the importance of Natural language processing which demands efficient deep learning models has rapidly increased with the c...
详细信息
The distributedcomputing continuum systems (DCCS) and representation learning (ReL) are two diverse computer science technologies with their use cases, applications, and benefits. The DCCS helps increase flexibility ...
详细信息
ISBN:
(数字)9781665475341
ISBN:
(纸本)9781665475341
The distributedcomputing continuum systems (DCCS) and representation learning (ReL) are two diverse computer science technologies with their use cases, applications, and benefits. The DCCS helps increase flexibility with improved performance of hybrid IoT-Edge-Cloud infrastructures. In contrast, representation learning extracts the features (meaningful information) and underlying explanatory factors from the given datasets. With these benefits, using ReL for DCCS to improve its performance by monitoring the devices will increase the utilization efficiency, zero downtime, etc. In this context, this paper discusses the promising role of ReL for DCCS in terms of different aspects, including device condition monitoring, predictions, management of the systems, etc. This paper also provides a list of ReL algorithms and their pitfalls which helps DCCS by considering various constraints. In addition, this paper list different challenges imposed on ReL to analyze DCCS data. It also provides future research directions to make the systems autonomous, performing multiple tasks simultaneously with the help of other AI/ML approaches.
Timely hybrid synchrony distributedsystems are the kind of systems that do have timely-bounded synchrony constraints for both node processing execution and link message delivery. This hybrid synchrony feature proved ...
详细信息
With the rapid growth of industrial Internet of Things (HoT) applications, real-time wireless networks (RTWNs) are playing an increasingly important role in providing real-time, reliable, and secure communication serv...
详细信息
ISBN:
(数字)9781665453448
ISBN:
(纸本)9781665453448
With the rapid growth of industrial Internet of Things (HoT) applications, real-time wireless networks (RTWNs) are playing an increasingly important role in providing real-time, reliable, and secure communication services for these applications. A key challenge in RTWN management is to ensure real-time Quality of Services (QoS), especially in the presence of unexpected external (i.e., application-side) and internal (i.e., network-side) disturbances. This paper presents a novel framework, DS-PaS, to determine the packet transmission schedule for multi-channel multi-hop RTWNs at the data link layer in a distributed and dynamic fashion. DS-PaS is able to (i) handle external disturbances, (ii) support spatial reuse, (iii) meet deadlines of all critical tasks, and (iv) minimize the number of dropped non-critical packets. To avoid transmission collisions when using inconsistent information in a distributed framework, DS-PaS incorporates several key advances in both the data-link layer protocol and algorithm design so that individual nodes can build on-line schedules with only local interference information. Extensive evaluation based on both testbed implementation and simulation validates the correctness of the DS-PaS design and demonstrates its effectiveness compared to the state of the art.
This paper presents a Consensus ADMM-based modeling and solving approach for the stochastic ACOPF. The proposed optimization model considers the load forecasting uncertainty and its induced load-shedding cost via Mont...
详细信息
Blockchain technologies have gained significant popularity for their decentralized and tamper-evident characteristics. The key component of these technologies is the consensus protocol that dictates the correctness an...
详细信息
ISBN:
(纸本)9798350309461
Blockchain technologies have gained significant popularity for their decentralized and tamper-evident characteristics. The key component of these technologies is the consensus protocol that dictates the correctness and operational efficiency of the system. Bitcoin's Proof of Work(PoW) is one such widely used promising consensus protocol. The major concern of the PoW consensus is the harm it does to the environment. It consumes a large amount of electricity and produces a high carbon footprint on the environment. In this paper, we propose "Proof-of-Pedal(PoP)", a novel Byzantine consensus protocol to address these major environmental issues in PoW. The proposed PoP consensus protocol is designed to replace the computer energy in PoW with human energy, specifically calories generated through cycling. It has been implemented on Pedalchain(also referred to as Greenchain), a novel blockchain system and support for both public and permissioned environments. The PoP consensus protocol represents a variation of Proof-of-Stake (PoS), employing PedalCoin cryptocurrency tokens as the staking mechanism for block miners. The protocol facilitates applications that allocate Pedalcoins to individuals as rewards for their cycling activities and the subsequent reduction in carbon emissions achieved through those activities. In the Pedalchain blockchain, individual activities and corresponding carbon footprint scores are securely recorded as transactions, resulting in automatic credit of Pedalcoins to the respective individuals. To ensure privacy while capturing Cycling activity and carbon footprint data, we have developed ClimGuards, a mobile application enabled with Self-Sovereign Identity (SSI) technology. The system also incorporates a feature that allows users to spend their Pedalcoins at a variety of businesses, including sports stores, hotels, restaurants, and more, while unlocking special offers. Moreover, the scalability of the system enables its potential extension to divers
As cloud computing becomes increasingly prevalent, the security and privacy of e-KYC (Electronic Know Your Customer) documents stored in the cloud have become critical concerns. Traditional e-KYC systems rely on centr...
详细信息
The emerging class of high velocity and high volume data analytic workflows comprise interwoven data ingestion, organization, and processing stages, with ingestion and organization steps often contributing comparable ...
详细信息
The paper investigates the problem of optimizing a sensor network for monitoring a continuous area, considering the bounded coverage areas of sensors. This task is formulated in terms of the maximum coverage location ...
详细信息
Scheduling tasks close to their associated data is crucial in distributedsystems to minimize network traffic and latency. Some Big Data frameworks like Apache Spark employ locality functions and job allocation algori...
详细信息
暂无评论