StructMesh: A storage framework for serverless computing continuum

Authors: Diana Carrizales-Espinoza, Dante D. Sánchez‐Gallegos, J. L. Gonzalez-Compeán, Jesús Carretero

Source: Future Generation Computer Systems. 159:353-369

Subject Terms: FOS: Computer and information sciences, Computer Networks and Communications, Internet of Things and Edge Computing, 9. Industry and infrastructure, Cloud Computing and Big Data Technologies, Computer science, 7. Clean energy, Distributed computing, 12. Responsible consumption, Parallel Computing, Storage Systems, Virtualization, Distributed Storage Systems and Network Coding, Computer Science, Physical Sciences, 11. Sustainability, Edge Computing, Distributed Storage, Information Systems

Quantum computing challenges and solutions in software industry—A multivocal literature review

Authors: Masaud Salam, Muhammad Ilyas

Source: IET Quantum Communication, Vol 5, Iss 4, Pp 462-485 (2024)

Subject Terms: 0301 basic medicine, FOS: Computer and information sciences, Quantum Computation, TK5101-6720, 02 engineering and technology, Cloud Computing and Big Data Technologies, 7. Clean energy, quantum computing, Quantum, Data science, 12. Responsible consumption, 03 medical and health sciences, quantum information, Artificial Intelligence, Quantum Computing and Simulation, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Fault-tolerant Quantum Computation, Software engineering, 9. Industry and infrastructure, 1. No poverty, Computer science, Quantum Information and Computation, Operating system, Quantum Simulation, Computer Science, Physical Sciences, 8. Economic growth, Telecommunication, Quantum Information, Software, Information Systems

Access URL: https://doaj.org/article/aa69654c686544c99578b6072bd771bc

Hybrid P2P-Based Architecture for Remote Software Utilization

Authors: Abdelhalim Baaziz, Abir Achache

Source: Revue d'Intelligence Artificielle. 38:631-641

Subject Terms: FOS: Computer and information sciences, Internet Applications, Scalable Peer-to-Peer Network Architectures, Computer Networks and Communications, Cloud Computing and Big Data Technologies, 7. Clean energy, Distributed Grid Computing Systems, Virtualization, Architecture, Component-based software engineering, Computer architecture, Software engineering, Geography, 9. Industry and infrastructure, Peer-to-Peer, Resource-oriented architecture, Software development, 16. Peace & justice, Computer science, Operating system, Archaeology, Distributed Systems, Computer Science, Physical Sciences, 8. Economic growth, File Sharing, FOS: Civil engineering, Software, Information Systems

Training Job Placement in Clusters with Statistical In-Network Aggregation

Authors: Bohan Zhao, Wei Xu, Shuo Liu, Yang Tian, Qiaoling Wang, Wenfei Wu

Source: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1. :420-434

Subject Terms: FOS: Computer and information sciences, Computer network, Computer Networks and Communications, Internet of Things and Edge Computing, Machine Learning for Networking, Software-Defined Networking and Network Virtualization, Cloud Computing and Big Data Technologies, Computer science, 7. Clean energy, Bandwidth (computing), Distributed computing, Multiplexing, Virtual Network Embedding, 12. Responsible consumption, Algorithm, Server, Statistical time division multiplexing, Computer Science, Physical Sciences, Computation, 8. Economic growth, Telecommunications, Edge Computing, Information Systems

Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm

Authors: Shanmugam Veeramani, Huo-Chong Ling, Lenin Gopal, Sivaraman Eswaran, Choo W. R. Chiong

Source: Cluster Computing. 27:8557-8575

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Networks and Communications, Heuristic, 02 engineering and technology, Cloud Computing and Big Data Technologies, Quantum mechanics, 7. Clean energy, Network Virtualization, Virtualization, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Cloud computing, Network Function Virtualization, Internet of Things and Edge Computing, Physics, Software-Defined Networking and Network Virtualization, Power (physics), Computer science, Virtual machine, Distributed computing, Virtual Network Embedding, Algorithm, Operating system, Power consumption, Computer Science, Physical Sciences, Information Systems

ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing

Authors: Sacheendra Talluri, Nikolas Herbst, Cristina L. Abad, Tiziano De Matteis, Alexandru Iosup

Source: Future Generation Computer Systems. 153:84-96

Subject Terms: FOS: Computer and information sciences, Design, Computer Networks and Communications, Economics, Performance, Serverless, Workload, Cloud Computing and Big Data Technologies, 7. Clean energy, Distributed Grid Computing Systems, Architecture, Parallel Computing and Performance Optimization, Computer architecture, Embedded system, Design space exploration, Scheduler, Computer science, Distributed computing, Task Scheduling, Operating system, Operations management, Hardware and Architecture, Computer Science, Physical Sciences, Mechanism, Scheduling (production processes), Software, Information Systems

Access URL: https://research.vu.nl/en/publications/58b0ff29-2f35-4fe5-b0f0-1a759a596cc1
https://hdl.handle.net/1871.1/58b0ff29-2f35-4fe5-b0f0-1a759a596cc1
https://doi.org/10.1016/j.future.2023.11.013

Unikernels Motivations, Benefits and Issues: A Multivocal Literature Review

Authors: Nabil El Ioini, Ayoub El Majjodi, David Hästbacka, Tomáš Černý, Davide Taibi

Contributors: Tampere University, Computing Sciences

Source: Proceedings of the 3rd Eclipse Security, AI, Architecture and Modelling Conference on Cloud to Edge Continuum. :39-48

Subject Terms: FOS: Computer and information sciences, Developmental psychology, Knowledge management, FOS: Political science, MEDLINE, Resource (disambiguation), FOS: Law, Cloud Computing and Big Data Technologies, Security Challenges in Cloud Computing, Data science, Software Diversity, Artificial Intelligence, Cloud computing, Psychology, Business, Political science, Order (exchange), Language-based Information Flow Security, Computer network, Grey literature, Maturity (psychological), 113 Computer and information sciences, Computer science, Process (computing), FOS: Psychology, Operating system, Computer Science, Physical Sciences, Process management, Law, Finance, Information Systems

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Access URL: https://trepo.tuni.fi/handle/10024/153422

Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing

Authors: Ahmed Gad, Essam H. Houssein, MengChu Zhou, Ponnuthurai Nagaratnam Suganthan, Yaser M. Wazery

Source: IEEE Internet of Things Journal. 11:1698-1710

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Networks and Communications, Premature convergence, Swarm intelligence, Metaheuristic, Cloud Computing and Big Data Technologies, 7. Clean energy, system throughput, Simulated annealing, Swarm behaviour, Artificial Intelligence, simulated annealing (SA), Cloud task scheduling, FOS: Mathematics, Edge Computing, Cloud computing, Swarm Intelligence Optimization Algorithms, particle swarm optimizer (PSO), Computer network, Routing (electronic design automation), Global Optimization, Internet of Things and Edge Computing, 9. Industry and infrastructure, Particle swarm optimization, Optimization Applications, Mathematical optimization, power consumption, Industrial Internet of Things (IIoT), Job shop scheduling, swarm intelligence (SI), Computer science, Ant Colony Optimization, Distributed computing, Algorithm, Operating system, evolutionary computation, Particle Swarm Optimization, Computer Science, Physical Sciences, Crossover, Scheduling (production processes), Mathematics, Information Systems

File Description: application/pdf

Access URL: https://hdl.handle.net/10576/62281

Predicting an Optimal Virtual Data Model for Uniform Access to Large Heterogeneous Data

Authors: Chahrazed B. Bachir Belmehdi, Ali Khiat, Nabil Keskes

Source: Data Intelligence. 6:504-530

Subject Terms: FOS: Computer and information sciences, Big Data, Large-scale Graphs, 02 engineering and technology, Cloud Computing and Big Data Technologies, SPARQL, Search engine, Graph, RDF, Database, Big data, Theoretical computer science, Data warehouse, Artificial Intelligence, Virtualization, Sargable, 0202 electrical engineering, electronic engineering, information engineering, Graph Matching and Analysis Techniques, Data virtualization, Information retrieval, Cloud computing, Data mining, Semantic Web, Query plan, Scalability, Computer science, Programming language, Relational Data Modeling, Operating system, Computer Science, Physical Sciences, SPARK (programming language), Web search query, Computer Vision and Pattern Recognition, Graph Neural Network Models and Applications, Information Systems

DQN Approach for Adaptive Self-Healing of VNFs in Cloud-Native Network

Authors: Arunkumar Arulappan, Anirban Mahanti, Kalpdrum Passi, T. Srinivasan, Ranesh Kumar Naha, Gunasekaran Raja

Source: IEEE Access, Vol 12, Pp 34489-34504 (2024)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, operational automation, Computer Networks and Communications, deep queue networks, Cloud Computing and Big Data Technologies, Self-healing VNF, Network Virtualization, Deep Learning, Virtualization, Cloud computing, Network Function Virtualization, cloud-native deployment, ONAP, Computer network, 9. Industry and infrastructure, Software-Defined Networking and Network Virtualization, Computer science, Distributed computing, TK1-9971, Virtual Network Embedding, Operating system, network intelligence, Computer Science, Physical Sciences, Network Intrusion Detection and Defense Mechanisms, Electrical engineering. Electronics. Nuclear engineering, Information Systems

Access URL: https://doaj.org/article/7d9ee52f14f84b819429d7d6bfd35ffd

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing

Authors: Sudheer Mangalampalli, Syed Shakeel Hashmi, Ashish Gupta, Ganesh Reddy Karri, K. Rajkumar, Tulika Chakrabarti, Prąsun Chakrabarti, Martin Margala

Source: IEEE Access, Vol 12, Pp 5373-5392 (2024)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Networks and Communications, Grid Computing, Cloud Computing and Big Data Technologies, 7. Clean energy, Workflow, Database, Deep Learning, Distributed Grid Computing Systems, energy consumption, Reinforcement learning, 11. Sustainability, FOS: Mathematics, workflow scheduling, Cloud computing, Biology, Deep reinforcement learning, task dependencies, Ecology, Internet of Things and Edge Computing, cloud computing, Mathematical optimization, makespan, Job shop scheduling, Computer science, Virtual machine, Distributed computing, TK1-9971, Task Scheduling, Energy consumption, High-Performance Computing, Operating system, Schedule, FOS: Biological sciences, Computer Science, Physical Sciences, Workflow management system, Electrical engineering. Electronics. Nuclear engineering, Scheduling (production processes), Mathematics, Information Systems, Workflow Management

Access URL: https://doaj.org/article/f71e5652577d43c1aec095e568be41a8

Multi-Objective Prioritized Task Scheduler Using Improved Asynchronous Advantage Actor Critic (a3c) Algorithm in Multi Cloud Environment

Authors: Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, M. Ijaz Khan, Sherzod Abdullaev, Salman A. AlQahtani

Source: IEEE Access, Vol 12, Pp 11354-11377 (2024)

Subject Terms: FOS: Computer and information sciences, CloudSim, Dynamic priority scheduling, Computer Networks and Communications, Cloud Computing and Big Data Technologies, A2C, 7. Clean energy, Real-time computing, Distributed Grid Computing Systems, resource cost, FOS: Mathematics, Cloud computing, DQN, Computer network, Internet of Things and Edge Computing, Mathematical optimization, makespan, Job shop scheduling, Computer science, Distributed computing, TK1-9971, Task Scheduling, resource utilization, Operating system, Schedule, Asynchronous communication, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Scheduling (production processes), Mathematics, Information Systems

Access URL: https://doaj.org/article/de4e0495452249b68f8ccc632d618120

The MapReduce based approach to improve the all-pair shortest path computation

Authors: Lau Nguyen Dinh

Source: International Journal of Advanced Science and Computer Applications. 3:55-64

Subject Terms: FOS: Computer and information sciences, Parallel computing, Shortest path problem, Trajectory Data Mining and Analysis, Structural engineering, Node (physics), Cloud Computing and Big Data Technologies, 7. Clean energy, Graph, Theoretical computer science, Engineering, Computer security, Parallel Algorithms, 11. Sustainability, Graph Matching and Analysis Techniques, MapReduce, Key (lock), Graph algorithms, Computer network, Graph Matching, Path (computing), Computer science, Distributed computing, Algorithm, Hadoop, Computer Science, Physical Sciences, Signal Processing, Computation, Graph Processing, Computer Vision and Pattern Recognition, K shortest path routing, Information Systems

Autonomous workload distribution for container-based micro services environments

Authors: Shamsuddeen Rabiu, A. Abba, Mustapha Abubakar

Source: World Journal of Advanced Engineering Technology and Sciences. 9:242-250

Subject Terms: FOS: Computer and information sciences, Computer Networks and Communications, Economics, FOS: Mechanical engineering, Workload, Cloud Computing and Big Data Technologies, Visual arts, Engineering, Microservices, Container (type theory), Service (business), Architecture, Cloud computing, Cloud-Native Architecture, Orchestration, 1. No poverty, Software-Defined Networking and Network Virtualization, Economy, Computer science, Distributed computing, Mechanical engineering, Operating system, Log Analysis and System Performance Diagnosis, Computer Science, Physical Sciences, Musical, FOS: Civil engineering, Art, Information Systems

Towards OS Heterogeneity Aware Cluster Management for HPC

Authors: Zhicheng An, Lining Ding, Yao Guo, Guofeng Gao, Yuxin Ren, Ning Jia, Xinwei Hu

Source: Proceedings of the 14th ACM SIGOPS Asia-Pacific Workshop on Systems. :16-23

Subject Terms: FOS: Computer and information sciences, Computer Networks and Communications, Workload, Cluster (spacecraft), Cloud Computing and Big Data Technologies, Computer science, 7. Clean energy, Distributed computing, Task Scheduling, High-Performance Computing, Operating system, Operations management, Engineering, Distributed Grid Computing Systems, Computer cluster, Distributed Storage Systems and Network Coding, Computer Science, Physical Sciences, Supercomputer, Scheduling (production processes), Information Systems

An ensemble clustering approach for modeling hidden categorization perspectives for cloud workloads

Authors: Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh

Source: Cluster Computing. 27:4779-4803

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Environmental Engineering, 02 engineering and technology, Workload, Cloud Computing and Big Data Technologies, Bottleneck, Low-Cost Air Quality Monitoring Systems, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Embedded system, Data mining, Data Clustering Techniques and Algorithms, FOS: Environmental engineering, Cloud Computing, Semi-supervised Clustering, Computer science, Operating system, Categorization, Computer Science, Physical Sciences, Environmental Science, Stream Data Clustering, Information Systems

Green cloud computing adoption challenges and practices: a client’s perspective-based empirical investigation

Authors: Ashfaq Ahmad, Rafiq Ahmad Khan, Siffat Ullah Khan, Hathal Salamah Alwageed, Abdullah A. Al‐Atawi, Youngmoon Lee

Source: Cognition, Technology & Work. 25:427-446

Subject Terms: FOS: Computer and information sciences, Computer Networks and Communications, Cloud Computing and Big Data Technologies, Greenhouse gas, 7. Clean energy, Data science, 12. Responsible consumption, Utility computing, FOS: Economics and business, Cloud testing, Engineering, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, Green IT, Cloud computing security, Cloud computing, Business, Energy Consumption in Mobile Devices and Networks, Electrical and Electronic Engineering, Biology, Marketing, Green computing, Ecology, Internet of Things and Edge Computing, 9. Industry and infrastructure, End-user computing, Cloud Computing, Vendor, Computer science, Carbon footprint, Operating system, 13. Climate action, FOS: Biological sciences, Physical Sciences, Computer Science, Information Systems

SD-ALB: Software Defined Adaptive load balancing in Data Center Network

Authors: Riwan Fazal, Syed Mushhad Mustuzhar Gilani, Muuhammad Junaid Khalid

Source: KIET Journal of Computing and Information Sciences. 6:51-67

Subject Terms: FOS: Computer and information sciences, Packet Switching, Computer Networks and Communications, Geometry, Cloud Computing and Big Data Technologies, 7. Clean energy, Bandwidth (computing), Real-time computing, Security in SDN, Engineering, Server, Optical Communication Networks and Energy Efficiency, Load balancing (electrical power), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Software-defined networking, Data center, Electrical and Electronic Engineering, Grid, SDN Controllers, Computer network, Load management, Machine Learning for Networking, Software-Defined Networking and Network Virtualization, Round-robin DNS, Computer science, Software-Defined Networking, Distributed computing, Domain Name System, OpenFlow, Operating system, Electrical engineering, Computer Science, Physical Sciences, The Internet, Mathematics, Information Systems

Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm

Authors: Babuli Sahu, S. K. Swain, Sudheer Mangalampalli, Satyasis Mishra

Source: Applied Bionics and Biomechanics, Vol 2023 (2023)

Subject Terms: FOS: Computer and information sciences, Dynamic priority scheduling, QH301-705.5, Computer Networks and Communications, 02 engineering and technology, Cloud Computing and Big Data Technologies, Workflow, Database, Distributed Grid Computing Systems, Quality of service, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Edge Computing, Cloud computing, Two-level scheduling, Biology (General), Computer network, Routing (electronic design automation), Internet of Things and Edge Computing, Particle swarm optimization, Mathematical optimization, Cuckoo search, Cloud Computing, Job shop scheduling, Computer science, Virtual machine, Distributed computing, Task Scheduling, Fair-share scheduling, Algorithm, High-Performance Computing, Operating system, Computer Science, Physical Sciences, Scheduling (production processes), TP248.13-248.65, Mathematics, Biotechnology, Information Systems, Workflow Management

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Access URL: https://doaj.org/article/7fc4ff701293460ba42cc7dabdc38c23

A novel multi-level hybrid load balancing and tasks scheduling algorithm for cloud computing environment

Authors: Nadim Elsakaan, Kamal Amroun

Source: The Journal of Supercomputing. 80:13434-13474

Subject Terms: FOS: Computer and information sciences, Parallel computing, Computer Networks and Communications, Grid Computing, Geometry, 02 engineering and technology, Cloud Computing and Big Data Technologies, 7. Clean energy, Distributed Grid Computing Systems, Load balancing (electrical power), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Edge Computing, Cloud computing, Grid, Internet of Things and Edge Computing, Mathematical optimization, Cloud Computing, Computer science, Distributed computing, Task Scheduling, Algorithm, High-Performance Computing, Operating system, Computer Science, Physical Sciences, Scheduling (production processes), Mathematics, Information Systems