The proceedings contain 3 papers. The topics discussed include: SABO: dynamic MPI+OpenMP resource balancer;LEC-PR: proactive recovery method in erasure-coded storage;and Petri nets for concurrent programming.
ISBN:
(纸本)9781665475082
The proceedings contain 3 papers. The topics discussed include: SABO: dynamic MPI+OpenMP resource balancer;LEC-PR: proactive recovery method in erasure-coded storage;and Petri nets for concurrent programming.
We study the Traveling Salesman Problem (TSP) in the Congested Clique Model (CCM) of distributedcomputing. We present a deterministic distributed algorithm that computes a tour for the TSP using O(1) rounds and O(m) ...
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ISBN:
(纸本)9798350369458;9798350369441
We study the Traveling Salesman Problem (TSP) in the Congested Clique Model (CCM) of distributedcomputing. We present a deterministic distributed algorithm that computes a tour for the TSP using O(1) rounds and O(m) messages for a given undirected weighted complete graph of n nodes and m edges with an approximation factor 2 of the optimal. The TSP has wide applications in logistics, planning, manufacturing and testing microchips, DNA sequencing etc., and we claim that our proposed O(1)-rounds approximation algorithm to the TSP, which is fast and efficient, can also be used to minimize the energy consumption in Wireless Sensor Networks.
The proceedings contain 343 papers. The topics discussed include: three-level compact caching for search engines based on solid state drives;a fine-grained volley gesture recognition method with direction independence...
ISBN:
(纸本)9781665494571
The proceedings contain 343 papers. The topics discussed include: three-level compact caching for search engines based on solid state drives;a fine-grained volley gesture recognition method with direction independence;universal adversarial attack against 3d object tracking;efficient hardware redo logging for secure persistent memory;a cost-efficient metadata scheme for high-performance deduplication systems;high speed true random number generator controlled by logistic map;characterization and implication of edge WebAssembly runtimes;frend for edge servers: reduce server number! keeping service quality!;on-the-fly servers placement for online multiplayer games in the fog;advanced architecture design of high-radix router based on chiplet integration and IP reusability;embrace the conflicts: exploring the integration of single port memory in systolic array-based accelerators;visual sensitivity aware rate adaptation for video streaming via deep reinforcement learning;semi-supervised federated learning with non-IID data: algorithm and system design;on-demand intelligent routing algorithms for the deterministic networks;and distributed service placement in ultra-dense edge computing: a game-theoretical approach.
The proceedings contain 35 papers. The topics discussed include: investigation of fundamental algorithms for cooperative exploration of mobile agents in search and rescue scenarios;self-explanation as a basis for self...
ISBN:
(纸本)9798350337464
The proceedings contain 35 papers. The topics discussed include: investigation of fundamental algorithms for cooperative exploration of mobile agents in search and rescue scenarios;self-explanation as a basis for self-integration – the autonomous passenger ferry scenario;modelling adaptive autonomic cloud application utility using template functions;local estimation vs global information: the benefits of slower timescales;engage–envision–enact: self-organized governance for self-improving socio-technical systems;interoperable AI for self-organization;disjoint lookups in Kademlia for random ids;infrastructures for the edge-cloud continuum on a small scale: a practical case study;semi-automatic integration of little languages;and exploring the potential of self-organizing applications in energy networks.
The proceedings contain 85 papers. The topics discussed include: traditional and deep learning techniques in image steganography: recent advances;deep learning for extracting human movement patterns from spatio-tempor...
ISBN:
(纸本)9798350322101
The proceedings contain 85 papers. The topics discussed include: traditional and deep learning techniques in image steganography: recent advances;deep learning for extracting human movement patterns from spatio-temporal data;speech emotion recognition: enhancing human-computer interaction;a combined ELM and CNN model architecture for accurate viral family DNA classification;ML driven priority-based constrained routing for pollution management in ITS;on development of computer aided system for detecting brain neurological disorders;CalorieMe: an image-based calorie estimator system;deepfake detection using EfficientNet and XceptionNet;dental disease detection based on CNN for panoramic dental radiographs;and AI-based detection of myocardial infarction through electrocardiogram signals: a review.
distributed Ledger Technology (DLT), encompassing blockchain and similar decentralized systems, is revolutionizing secure and scalable computing. This paper comprehensively surveys DLT, highlighting its core principle...
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distributed Ledger Technology (DLT), encompassing blockchain and similar decentralized systems, is revolutionizing secure and scalable computing. This paper comprehensively surveys DLT, highlighting its core principles, cloud integration and enhanced data security/scalability. It examines various DLT systems, advanced consensus mechanisms and Layer 2 solutions to address scalability. It explores DLT's innovative use cases in finance, healthcare, supply chains and IoT, emphasizing advantages and challenges. It also delves into DLT's regulatory landscape, addressing compliance, data privacy and governance, while assessing the potential for regulatory clarity and international cooperation. The paper aims to guide researchers and practitioners navigating DLT's evolving landscape, underscoring its transformative potential for secure and scalable computing in the digital age.
Metamorphosis is a consensus protocol derived from Raft with addition of a witness replica role. In this role, a replica does not store a full copy of data under normal mode of operation. The selection of a replica in...
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ISBN:
(纸本)9798350386066;9798350386059
Metamorphosis is a consensus protocol derived from Raft with addition of a witness replica role. In this role, a replica does not store a full copy of data under normal mode of operation. The selection of a replica into this role is dynamic. It only occurs when the set of full replicas fails to complete a write fully within a timeout. Data replication using a consensus protocol with witnesses is attractive for building distributed message brokers. Message brokers are widely used to collect data over geographically separate locations. To achieve fault tolerance, replication creates redundant data copies. Metamorphosis reduces costs associated with redundancy by only storing complete data on a subset of replicas. Metamorphosis achieves near 1/3 cost reduction in operating distributed data ingestion, when compared to Apache Kafka, a popular message broker.
The proceedings contain 220 papers. The topics discussed include: MRI denoising neural network architecture convolution;policy-based role and access modeling;image-to-video person re-identification using semantic info...
ISBN:
(纸本)9798350358056
The proceedings contain 220 papers. The topics discussed include: MRI denoising neural network architecture convolution;policy-based role and access modeling;image-to-video person re-identification using semantic information;use of digital auralized 3D models of cultural heritage sites for long-term preservation;the use of BBC micro:bit in automatic irrigation system through cross-curricular teaching of biology and informatics;digital health systems: ontology-based universal dialog service for hybrid e-rehabilitation activities support;count predictive model with mixed categorical and count explanatory variables;a comparative analysis of deep learning-based object detectors for embedded systems;and project management for cooperative development of welding safety training system using virtual reality.
Reinforcement Learning (RL) has marked significant achievements across a variety of complex tasks in real-world scenarios. However, the efficacy of RL predominantly relies on the availability of extensive datasets and...
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ISBN:
(纸本)9798350386066;9798350386059
Reinforcement Learning (RL) has marked significant achievements across a variety of complex tasks in real-world scenarios. However, the efficacy of RL predominantly relies on the availability of extensive datasets and considerable training resources. Hence, there is the critical need for a distributed system capable of generating and processing vast amounts of data with efficiency. In this work, we introduce a Scalable and Customized distributed Reinforcement Learning system (SCDRL). Concretely, we analyze the paradigm of RL and decouple the major RL computations into three main aspects, i.e. environment simulation, policy inference and policy training. Such decouple enables SCDRL to efficiently allocate computing resources (be it CPUs or GPUs of varying computational capabilities) tailored to the specific needs of each component. We demonstrate the effectiveness of our method across several key RL environments, demonstrating that our system not only achieves significant learning outcomes and enhanced throughput but also utilizes computing resources with greater efficiency. Notably, our findings reveal SCDRL's proficiency in optimizing resource use not just in single-machine setups but also in multi-machine configurations, all the while maintaining data efficiency and resource utilization.
Cyber-physical swarms represent a paradigm shift in distributedsystems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these comp...
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ISBN:
(纸本)9798350369458;9798350369441
Cyber-physical swarms represent a paradigm shift in distributedsystems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these complex systems, characterized by vast networks of cyber-physical entities with limited environmental awareness, yet capable of exhibiting emergent collective behaviors. These systems encompass a diverse array of scenarios, ranging from swarm robotics to the interconnectivity in smart cities, as well as the collaboration among augmented humans. The engineering of such systems presents unique challenges, primarily due to their intricate complexity and the spontaneous nature of their collective behaviors. This paper aims to dissect these challenges, offering a clear delineation of potential approaches. We present a comprehensive analysis, shedding light on the intricacies of engineering cyberphysical swarms and discussing modern solutions in engineering collective applications for such systems.
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