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19th IEEE international Symposium on Parallel and distributed Processing with Applications, 11th IEEE international conference on Big Data and Cloud computing, 14th IEEE international conference on Social computing and networking and 11th IEEE international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021

19th IEEE International Symposium on Parallel and Distribute...

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19th IEEE international Symposium on Parallel and distributed Processing with Applications, 11th IEEE international conference on Big Data and Cloud computing, 14th IEEE international conference on Social computing and networking and 11th IEEE international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021

ISBN: (纸本)9781665435741

the proceedings contain 222 papers. the topics discussed include: DRL-deploy: adaptive service function chains deployment with deep reinforcement learning;accuracy vs. efficiency: achieving both through hardware-aware quantization and reconfigurable architecture with mixed precision;cmss: collaborative modeling of safety and security requirements for network protocols;FGPA: fine-grained pipelined acceleration for depthwise separable CNN in resource constraint scenarios;Dyacon: JointCloud dynamic access control model of data security based on verifiable credentials;understanding the runtime overheads of deep learning inference on edge devices;and alleviating imbalance in synchronous distributed training of deep neural networks.

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Proceedings - 16th IEEE international Symposium on Parallel and distributed Processing with Applications, 17th IEEE international conference on Ubiquitous computing and Communications, 8th IEEE international conference on Big Data and Cloud computing, 11th IEEE international conference on Social computing and networking and 8th IEEE international conference on Sustainable computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

Proceedings - 16th IEEE International Symposium on Parallel ...

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16th IEEE international Symposium on Parallel and distributed Processing with Applications, 17th IEEE international conference on Ubiquitous computing and Communications, 8th IEEE international conference on Big Data and Cloud computing, 11th IEEE international conference on Social computing and networking and 8th IEEE international conference on Sustainable computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

ISBN: (纸本)9781728111414

the proceedings contain 161 papers. the topics discussed include: deep learning for phishing detection;a partition matching method for optimal attack path analysis;an energy and robustness adjustable optimization method of file distribution services;deriving the political affinity of twitter users from their followers;on the usability of big (social) data;re-running large-scale parallel programs using two nodes;predicting hacker adoption on darkweb forums using sequential rule mining;an on-the-fly scheduling strategy for distributed stream processing platform;deadlock-free adaptive routing based on the repetitive turn model for 3D network-on-chip;and radix: enabling high-throughput georeferencing for phenotype monitoring over voluminous observational data.

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Two Hybrid Heuristic Algorithms for Optimizing Data Processing Schedules in distributed Edge computing 11

Two Hybrid Heuristic Algorithms for Optimizing Data Processi...

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11th international conference on Wireless Networks and Mobile Communications (WINCOM) - Inclusive and Intelligent Connectivity

作者： Sayah, Achraf Aqil, Said Aadil, Bouchra Lahby, Mohamed Hassan II Univ Lab Appl Math & Comp Sci Higher Normal Sch Casablanca Morocco Hassan II Univ Lab Artificial Intelligence & Complex Syst Engn Natl Higher Sch Arts & Crafts Casablanca Morocco

ISBN: (纸本)9798350377873;9798350377866

In recent years, edge computing has emerged as a promising solution in the field of network computing. this architecture ensures the availability of distributed computing resources located closer to end-users and IoT devices. However, resource scheduling remains a significant challenge in edge computing, requiring effective strategies to optimize resource utilization and ensure efficient task allocation. In this paper, we propose two hybrid approaches that combine the NawazEnscore-Ham (NEH) algorithm with local search and Greedy Random Adaptive Search Procedure (GRASP) algorithm with local search for modeling and solving data traffic in distributed edge computing environments (DPSDEC). through extensive evaluations, we consistently observe that the NEH algorithm outperforms GRASP, delivering minimized makespan and generating efficient schedules. Moreover, the NEH algorithm performs very well in less complex situations and maintains this advantage even in larger and more complex problems.

关键词： Local search Algorithm Edge computing distributed Networks Scheduling.

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A Confidentiality-Preserving distributed Linear Programming Model for Solving Large-Scale Economic Dispatch Problems 24

A Confidentiality-Preserving Distributed Linear Programming ...

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11th international conference on networking, Systems and Security, NSysS 2024

作者： Hossain, Md Turab Hossain, Md. Alamin Adnan, Muhammad Abdullah Dhaka Bangladesh

ISBN: (纸本)9798400711589

the primary goal of the economic dispatch (ED) is to organize the generation schedule to fulfill system energy demand at the lowest possible operational cost while meeting all other requirements, including system security and reliability. the inclusion of smart grid technologies requires advanced computational techniques and increased problem-solving capabilities to manage effectively. the in-house computing infrastructure has drawbacks, such as high costs, operational complexity, limited flexibility, and security risks. Even though cloud computing is a substitute, it faces the major challenge of storing sensitive data, such as power system data, in the cloud, which could put organizations at risk of cyberattacks. We propose an outsourcing model of distributed linear programming (LP) that solves large-scale economic dispatch problems. Moreover, for the preservation of data confidentiality, we transform our LP into a confidentiality-preserving LP. We have shown the efficacy of our model by implementing on the real-life Bangladesh power grid system. © 2024 Copyright held by the owner/author(s).

关键词： Smart power grids

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Architecting a SDS for Microservices-based distributed Edge computing Systems 11

Architecting a SDS for Microservices-based Distributed Edge ...

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11th IEEE international conference on Software Defined Systems, SDS 2024

作者： Vora, Urjaswala Pennsylvania State University College of Information Sciences and Technology University Park United States

ISBN: (纸本)9798331518325

Software Defined Systems (SDS) abstract the actual hardware at different layers with software components, layers such as networking, Storage, Security, Servers, Data Centers, Clouds etc. this abstraction facilitates construction, integration / composition and management of complex systems effectively and sustainably. Microservices architecture is increasingly being used for designing and deploying large-scale application systems in both cloud-based and enterprise infrastructures where relatively small, loosely coupled microservices communicate with each other using lightweight communication protocols and abstract complex software application(s). We propose a sustainable SDS architecture to manage microservices of a distributed edge computing system which reduces dependency on any data centre / cloud infrastructure. © 2024 IEEE.

关键词： Cloud computing architecture

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User-based I/O Profiling for Leadership Scale HPC Workloads 25

User-based I/O Profiling for Leadership Scale HPC Workloads

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26th international conference on distributed computing and networking, icdcn 2025

作者： Yazdani, Ahmad Hossein Paul, Arnab K. Karimi, Ahmad Maroof Wang, Feiyi Butt, Ali Virginia Tech BlacksburgVA United States BITS Pilani KK Birla Goa India Oak Ridge National Laboratory Oak RidgeTN United States

ISBN: (纸本)9798400710629

I/O constitutes a significant portion of most of the application run-time. Spawning many such applications concurrently on an HPC system leads to severe I/O contention. thus, understanding and subsequently reducing I/O contention induced by such multi-tenancy is critical for the efficient and reliable performance of the HPC system. In this study, we demonstrate that an application's performance is influenced by the command line arguments passed to the job submission. We model an application's I/O behavior based on two factors: past I/O behavior within a time window and user-configured I/O settings via command-line arguments. We conclude that I/O patterns for well-known HPC applications like E3SM and LAMMP are predictable, with an average uncertainty below 0.25 (A probability of 80%) and near zero (A probability of 100%) within a day. However, I/O pattern variance increases as the study time window lengthens. Additionally, we show that for 38 users and at least 50 applications constituting approximately 93000 job submissions, there is a high correlation between a submitted command line and the past command lines made within 1 to 10 days submitted by the user. We claim the length of this time window is unique per user. © 2025 Copyright held by the owner/author(s).

关键词： High Performance computing

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Workload Prediction for Edge computing 24

Workload Prediction for Edge Computing

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25th international conference on distributed computing and networking, icdcn 2024

作者： Shah, Kavish Gandhi, Ayush Gandhi, Kalgi Bhise, Minal Distributed Database Group Gujarat Gandhinagar India

ISBN: (纸本)9798400716737

In large-scale edge systems, along with the number of edge devices, the amount of data that needs to be processed has been increasing. Edge systems have limited processing power, memory, and network bandwidth. For such systems, handling resource utilization and data management during query processing is tricky. Moreover, joins being the costliest operations, when accelerated, can improve query processing substantially. the state-of-the-art technique for accelerating hash join, Column Imprint-Hash Join, is a data-aware approach which uses equi-height binning. Proposed Predicted Workload-Aware Column Imprint-Hash Join enhances the query performance and addresses real-time query processing by predicting the upcoming workload in advance. the algorithm is demonstrated on the TPC-H benchmark dataset. It shows an improvement of about 10% for the Percentage of Cachelines Read over CI-HJ, making the algorithm energy-efficient. An overall gain in Query Execution Time of 11% is observed. Although, Algorithm Execution Time shows an overhead of 6% as compared to the state-of-the-art which is due to an additional prediction phase. the proposed technique showcases the effectiveness of query prediction in optimizing edge system performance. © 2024 ACM.

关键词： Forecasting

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distributed Computations with Layered Resolution 11

Distributed Computations with Layered Resolution

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11th IEEE international conference on Cloud networking (CloudNet)

作者： Esfahanizadeh, Homa Cohen, Alejandro Medard, Muriel Shamai (Shitz), Shlomo MIT RLE Cambridge MA 02139 USA Technion Fac Elect & Comp Engn Haifa Israel

ISBN: (数字)9781665486279

ISBN: (纸本)9781665486279

Modern computationally-heavy applications are often time-sensitive, demanding distributed strategies to accelerate them. On the other hand, distributed computing suffers from the bottleneck of slow workers in practice. distributed coded computing is an attractive solution that adds redundancy such that a subset of distributed computations suffices to obtain the final result. However, the final result is still either obtained within a desired time or not, and for the latter, the resources that are spent are wasted. In this paper, we introduce the novel concept of layered-resolution distributed coded computations such that lower resolutions of the final result are obtained from collective results of the workers - at an earlier stage than the final result. this innovation makes it possible to have more effective deadline-based systems, since even if a computational job is terminated because of timing, an approximated version of the final result can be released. Based on our theoretical and empirical results, the average execution delay for the first resolution is notably smaller than the one for the final resolution. Moreover, the probability of meeting a deadline is one for the first resolution in a setting where the final resolution exceeds the deadline almost all the time, reducing the success rate of the systems with no layering.

关键词： Technological innovation conferences Redundancy Delays distributed computing

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Edge computing and distributed Ledger Technology for the Industrial IoT 11

Edge Computing and Distributed Ledger Technology for the Ind...

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11th IEEE international conference on Intelligent computing and Information Systems, ICICIS 2023

作者： Abo-Soliman, Mohamed Ahmed Shabaan, Eman Al-Qutt, Mirvat Emara, Kareem Ain Shams University Computer Systems Department Cairo Egypt

ISBN: (纸本)9798350322101

the tremendous increase in implementing IoT devices for critical infrastructures yells for higher performance and robust protection. Traditional cloud based IoT architecture is unsuitable for delay-sensitive or real-time applications and lacks the robust security needed by industrial systems. thus, new technologies are introduced to endorse the industry's digital transformation. Edge computing greatly satisfies required performance while distributed Ledger Technology (DLT) mitigates potential data compromises. this work proposes an integrated four layers architecture based on Edge computing and DLT that provides efficient computing, security, and scalability. Edge computing handles transmission delay and scalability issues, while DLT handles data validation and trust. A lightweight DLT model is introduced to enable faster data commitment and better networking. the model incorporates two main features: a new grouping technique that enables network segmentation reducing network complexity. the second technique dynamically optimizes resource-utilization by adjusting DLT requirements according to the hardware capabilities of each participating node. © 2023 IEEE.

关键词： Internet of things

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Robust-to-Noise Algorithms for distributed Resource Allocation and Scheduling 11

Robust-to-Noise Algorithms for Distributed Resource Allocati...

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11th RSI international conference on Robotics and Mechatronics, ICRoM 2023

作者： Doostmohammadian, Mohammadreza Aghasi, Alireza Semnan University Faculty of Mechanical Engineering Iran Oregon State University Electrical Engineering and Computer Science Department United States

ISBN: (纸本)9798350308105

Efficient resource allocation and scheduling algorithms are essential for various distributed applications, ranging from wireless networks and cloud computing platforms to autonomous multi-agent systems and swarm robotic networks. However, real-world environments are often plagued by uncertainties and noise, leading to sub-optimal performance and increased vulnerability of traditional algorithms. this paper addresses the challenge of robust resource allocation and scheduling in the presence of noise and disturbances. the proposed study introduces a novel sign-based dynamics for developing robust-to-noise algorithms distributed over a multi-agent network that can adaptively handle external disturbances. Leveraging concepts from convex optimization theory, control theory, and network science the framework establishes a principled approach to design algorithms that can maintain key properties such as resource-demand balance and constraint feasibility. Meanwhile, notions of uniform-connectivity and versatile networking conditions are also addressed. © 2023 IEEE.

关键词： Graph theory

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