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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Rao, Subhiksha Suresh Mishra, Sahil Seshadri, Samarth Bhaskaran, Sreebha Dept. of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350370249

Efficient load balancing is essential for distributed systems to have outstanding performance and scalability. this study compares the load balancing strategies of two popular distributed application frameworks, gRPC and Apache thrift. the features of each algorithm are examined, along with their advantages and disadvantages. To give a helpful evaluation, the performance of these algorithms is tested using key factors like throughput, latency, resource utilisation, and scalability. the comparison looks at the trade-offs involved in selecting different algorithms for distributed system load balancing and identifies the scenarios in which one method might be more suitable. ©2024 IEEE.

关键词： Scalability

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A Lightweight three Dimensional Redeployment Algorithm for distributed Mobile Wireless Sensor Networks

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WIRELESS PERSONAL COMMUNICATIONS 2024年第2期135卷 835-873页

作者： Boufares, Nadia Ben Saied, Yosra Azouz Saidane, Leila Univ Manouba Natl Sch Comp Sci Manouba Tunisia Univ Carthage Tunis Tunisia

In recent years, there has been significant growth in mobile wireless sensor networks (WSNs), yet prevailing research has primarily focused on 2D planar deployments, overlooking the importance of three-dimensional (3D) coverage in various applications. this oversight leads to ineffective data gathering due to incomplete area coverage and network connectivity. In previous researches (Boufares et al. in: 2018 31 IEEE/ACS 15th international conference on computer systems and applications (AICCSA), Aqaba, Jordan, pp 1-8, 2018, in: 13th international wireless communications and mobile computing conference (IWCMC), Valencia, pp 1628-1633, 2017, in: IEEE wireless communications and mobile computing conference (IWCMC), Dubrovnik, Croatia, pp 563-568, 2015a, in: the 4th international conference on performance evaluation and modeling in wired and wireless networks (PEMWN), Hammamet, Tunisia, pp 103-108, 2015b), we proposed 3D mobile autonomous redeployment strategies based on the Virtual Forces Algorithm, tailored for diverse configurations: 3D volume applications such as smart homes or agriculture, 3D flat surfaces like snow monitoring, and 3D terrain surfaces like volcano monitoring. Our approach ensured complete coverage and connectivity in these scenarios. Moreover, energy efficiency emerges as a critical concern, given the autonomous and mobile nature of sensor nodes operating on finite battery power. Hence, in this paper, we provide an overview of our previous results, highlighting the efficacy of our 3D mobile autonomous redeployment strategies across various configurations. Subsequently, we delve into an in-depth analysis of the energy consumption associated with the different proposed contributions. Building upon these insights, we propose an energy harvesting approach aimed at extending the operational lifespan of mobile 3D WSNs, thus ensuring sustained functionality in diverse real-world *** these contributions, we address critical challenges and p

关键词： 3D distributed autonomous mobile wireless sensor networks Coverage and connectivity Virtual forces Energy consumption Energy harvesting RF power splitting

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Proceedings of the 15th international conference on Cloud computing and Services Science, CLOSER 2025

Proceedings of the 15th International Conference on Cloud Co...

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15th international conference on Cloud computing and Services Science, CLOSER 2025

ISBN: (纸本)9789897587474

the proceedings contain 28 papers. the topics discussed include: performance and usability implications of multiplatform and WebAssembly containers;operations patterns for hybrid quantum applications;optimization of cloud-native application execution over the edge cloud continuum enabled by DVFS;energy-aware node selection for cloud-based parallel workloads with machine learning and infrastructure as code;security-aware allocation of replicated data in distributed storage systems;performance analysis of mdx ii: a next-generation cloud platform for cross-disciplinary data science research;data orchestration platform for AI workflows execution across computing continuum;framework for decentralized data strategies in virtual banking: navigating scalability, innovation, and regulatory challenges in thailand;and anomaly detection for partially observable container systems based on architecture profiling.

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Group-Wise Coding for Coded distributed computing systems with Group Heterogeneity and Communication Delay 15

Group-Wise Coding for Coded Distributed Computing Systems wi...

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15th international conference on Ubiquitous and Future Networks (ICUFN)

作者： Ardakani, Maryam Haghighi Ardakani, Masoud Tellambura, Chintha Univ Alberta Dept Elect & Comp Engn Edmonton AB T6G 2V4 Canada

ISBN: (纸本)9798350385304;9798350385298

In distributed computing, coding techniques are shown to be an effective solution for mitigating the impact of stragglers. However, previous research on coding has predominantly focused on homogeneous worker environments, overlooking the fact that real-world systems often consist of heterogeneous workers with varying computing and communication capabilities. Specifically, uniform load allocation, without considering worker heterogeneity, can result in substantial latency losses. In this paper, we propose a load allocation strategy designed for distributed systems with group heterogeneity, where workers in the same group have similar computing and communication capabilities, but workers of different groups do not. By exploring group-wise MDS codes, we determine the optimal code dimension and optimal computation loads for individual groups. Our proposed approach demonstrates comparable computation times to existing methods, while exhibiting the advantage of much shorter encoding and decoding times.

关键词： computing power

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Performance Measurement of distributed Storage on Edge Devices 15

Performance Measurement of Distributed Storage on Edge Devic...

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15th international conference on Communication systems and Networks (COMSNETS)

作者： Loganathan, Priyam Rauthan, Dhruv Trivedi, Animesh Naik, Vinayak BITS Pilani Pilani Rajasthan India Vrije Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9781665477062

Edge computing and storage have been proposed as an alternative to current cloud computing infrastructures to address the latter's limitations. However, edge computing services and support for applications based on edge infrastructures are still in the incipient stages. there are numerous storage services for efficient data storage in the cloud. In contrast, few such services exist at the edge. We look at the performance of a cloud storage service Cassandra when deployed on an edge network. In this paper, we analyze Cassandra's performance in three different networks. We vary Cassandra's attributes and the overall conditions in each network to simulate a real-world scenario and study the effect on the total time taken for a particular request. We (a) establish trends for different configurations, (b) discuss the reasoning behind them, and (c) suggest optimal configurations for the networks used, which are important for deploying Cassandra in an edge setting.

关键词： Edge computing Cloud Storage and Performance Analysis

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Parallel and distributed Data Series Processing on Modern and Emerging Hardware 15th

Parallel and Distributed Data Series Processing on Modern an...

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15th international conference on Management of Digital Ecosystems (MEDES)

作者： Fatourou, Panagiota Inst Comp Sci Fdn Res & Technol Iraklion Greece Univ Crete Dept Comp Sci Iraklion Greece

ISBN: (纸本)9783031516429;9783031516436

this paper summarizes state-of-the-art results on data series processing with the emphasis on parallel and distributed data series indexes that exploit the computational power of modern computing platforms. the paper comprises a summary of the tutorial the author delivered at the 15th international conference on Management of Digital Ecosystems (MEDES'23).

关键词： Data series Time series Indexing Similarity search Query answering Multi-core architectures Parallelization GPU processing Disk-based index In-memory index distributed processing

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A Partially Decentralised Protocol for a distributed Encrypted Storage System 15th

A Partially Decentralised Protocol for a Distributed Encrypt...

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15th international conference on Ubiquitous computing and Ambient Intelligence

作者： Languasco, Alessandro Univ Padua Dipartimento Matemat Tullio LeviCivita Via Trieste 63 I-35121 Padua Italy

ISBN: (纸本)9783031485893;9783031485909

Decentralization is an important feature both for security and for reliability as it reduces the risks of collusion and impact of the single-point-of-failure vulnerability in a system. After having recalled the re-encryption procedure - mainly to establish notations - we will describe a modification of the distributed encrypted storage protocol by Ateniese-Fu-Green-Hohenberger. Such a protocol is a strongly centralized one since it assigns to the manager the possibility of storing all the symmetric keys involved in enciphering the resources required by the users of the system. Our goal here is to show how to reduce the role of the manager as being just a certifier of the access requests to the shared resources. We will achieve this by using standard public-key cryptography tools like the digital signature with message integrity.

关键词： Re-encryption

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Utilizing Distribution Optimization through Cloud computing in Wireless Networks 15

Utilizing Distribution Optimization through Cloud Computing ...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Shaik, Intiaz Devineni, Sreenath Gorantla, Bhargavi Jiwani, Nasmin Kumar, D. Sathish United States Dept. of Information Technology University of The Cumberlands WilliamsburgKY United States Department of ECE Sri Eshwar College of Engineering Tamil Nadu Coimbatore641202 India

ISBN: (纸本)9798350370249

Cloud computing is becoming part and parcel of the optimization of wireless networks for distributed mobile applications. thanks to the scalable, distributed nature of Kubernetes which leverages the to-be had sources to construct disbursed dynamical structures that can be moreover optimized via cloud-enabled assets. To get the best performance there is a need to have distributed systems that can sense what resources are appropriate and efficiently consume the resources that are suitable for the given application being executed. these components are managed in cloud computing and thus can be used in an eco-friendly manner. distributed cloud computing can be used to optimize the performance of the network by using the resources currently available for distributed applications over wireless networks. Disbursed cloud computing for wi-fi networks is aimed at attaining the most efficient use of resources of the network by the least finding it suitable for distribution. Cloud computing may even offload the burden on mobile gadgets with the aid of centralizing certain factors of the network (consisting of parameters governing access to crucial components of the community), and ensuring that community resources are flippantly distributed to the ends of the network. It enhances the accuracy of network routing, paving the way for the best resources to be allocated & utilized optimally. In addition, cloud computing can enable applications to run on multiple devices concurrently, taking advantage of the distributed nature of the wireless network. ©2024 IEEE.

关键词： distributed cloud

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From Centralized to distributed and Ubiquitous In-Network Defense for Future 6G Networks 15

From Centralized to Distributed and Ubiquitous In-Network De...

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15th international conference on Networks of the Future

作者： Spina, Mattia De Rango, Floriano Iera, Antonio Univ Calabria Dept DIMES Calabria Italy CNIT Trento Italy

ISBN: (纸本)9798350377774;9798350377767

Future telecommunications networks are increasingly vulnerable to external attacks mainly due to the fast development of applications based on the massive use of IoT devices As a consequence, the perimeter of attacks on networks has expanded enormously and traditional security control techniques need to evolve to cope with this issue. A promising approach leverages the potential of Programmable Data Planes, that will characterize future networks, to implement effective in-network Intrusion Detection systems (IDS). Initial works addressed the in-network IDS development, mainly with a centralized approach. In this paper, instead, we propose a Proof-of-Concept study dealing with a deployment approach that allows to distribute across the network nodes an in-network IDS created via a chain of Weak Learners. this, as demonstrated in the Prof-of-Concept experiments shown, allows to overcome some limitations of in-network centralized approaches, by working faster, and occupying fewer resources of the devices involved, while maintaining the level of precision sought.

关键词： 6G Data Plane In-Network computing distributed IDS AI-enabled programmable switches Network Security

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GreenLight: Green Traffic Signal Control using Attention-based Reinforcement Learning on Fog computing Network 15

GreenLight: Green Traffic Signal Control using Attention-bas...

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15th international Green and Sustainable computing conference

作者： Tang, Chengyu Baskiyar, Sanjeev Auburn Univ Dept Comp Sci & Software Engn Auburn AL 36849 USA

ISBN: (纸本)9798331507879;9798331507862

Traffic congestion is a pervasive problem causing severe environmental and economic issues. In recent years, traffic signal control using reinforcement learning (RL) has come a long way. Most existing studies focus on using distributed agents with data exchange among neighbors, which, however, increases network complexity and usage and still suffers from the lack of broader coordination. Meanwhile, the attention mechanism has achieved tremendous success, and advances in vehicle-to-infrastructure (V2I) communications have enabled real-time collections of granular data. However, integrating these technologies into traffic signal control remains under-explored. therefore, we present GreenLight, a forward-thinking and eco-friendly traffic signal control framework that can be applied to V2I-equipped fog computing environments. For a large urban area, traffic signals are divided into clusters, each coordinated by a fog node with an RL agent. Intra-cluster indexed self-attention is applied to extract context-aware features that the fog-residing RL agent utilizes to determine the proper signal control command. Results of simulation experiments using both synthetic and real-world scenarios show that the presented framework yields lower waiting time, emissions, and fuel consumption compared to baseline methods, indicating its potential for next-generation transportation systems.

关键词： Traffic Signal Control Reinforcement Learning Self-Attention Emissions Fuel Consumption Fog computing V2I

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