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Journal articles on the topic 'VM instance'

Author: Grafiati

Published: 1 July 2021

Last updated: 28 July 2025

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1

Nemirajaiah, Naveen Kumar Adalagere, and Channa Krishna Raju. "Securing Virtual Machines using Cloning in Cloud Services." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 20770–75. https://doi.org/10.48084/etasr.9391.

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Cloud Computing (CC) is now a service available to everyone, where all computing resources are made available as a service over the internet, based on the user's needs. Virtualization is a critical component of cloud services that significantly reduces costs and improves resource utilization by creating Virtual Machines (VMs), which are essentially virtual resources that can serve multiple users simultaneously. VMs are subject to security threats and attacks such as malware, and it is very important to create a secure environment for VMs to run seamlessly. In this novel strategy, we create clo

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Nagarnaik, P. P., Om Nasre, Saksham Donge, and Isha Waghaye. "QuickCloud: Lightweight Cloud Infrastructure for VM Rental and Management." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44274.

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The project, "QuickCloud," is designed to provide users with a web-based platform to rent and manage virtual machines (VMs) with ease. The system enables users to select and configure their desired virtual machines, access them via SSH, and pay for usage through a simple billing mechanism. The platform includes a user-friendly interface developed using Angular for the frontend, while Spring Boot and JPA handle the backend functionalities. Unlike traditional cloud services, this project focuses solely on providing EC2-like services, specifically allowing users to rent VMs with fixed configurati

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Wan, Jianxiong, Limin Liu, Jie Lv, and Zhiwei Xu. "Coarse-Grain QoS-Aware Dynamic Instance Provisioning for Interactive Workload in the Cloud." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/215016.

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Cloud computing paradigm renders the Internet service providers (ISPs) with a new approach to deliver their service with less cost. ISPs can rent virtual machines from the Infrastructure-as-a-Service (IaaS) provided by the cloud rather than purchasing them. In addition, commercial cloud providers (CPs) offer diverse VM instance rental services in various time granularities, which provide another opportunity for ISPs to reduce cost. We investigate a Coarse-grain QoS-aware Dynamic Instance Provisioning (CDIP) problem for interactive workload in the cloud from the perspective of ISPs. We formulat

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Fan, Chih-Tien, Yue-Shan Chang, and Shyan-Ming Yuan. "VM instance selection for deadline constraint job on agent-based interconnected cloud." Future Generation Computer Systems 87 (October 2018): 470–87. http://dx.doi.org/10.1016/j.future.2018.04.017.

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Yannibelli, Virginia, Elina Pacini, David A. Monge, et al. "An In-depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds." Scientific Programming 2023 (February 17, 2023): 1–26. http://dx.doi.org/10.1155/2023/8345646.

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Many important computational applications in science, engineering, industry, and technology are represented by PSE (parameter sweep experiment) applications. These applications involve a large number of resource-intensive and independent computational tasks. Because of this, cloud autoscaling approaches have been proposed to execute PSE applications on public cloud environments that offer instances of different VM (virtual machine) types, under a pay-per-use scheme, to execute diverse applications. One of the most recent approaches is the autoscaler MOEA (multiobjective evolutive algorithm), w

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B.Rathod, Suresh, and V. Krishna Reddy. "Decision Making Framework for Decentralized Virtual Machine Placement in Cloud Computing." International Journal of Engineering & Technology 7, no. 2.7 (2018): 705. http://dx.doi.org/10.14419/ijet.v7i2.7.10926.

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In distributed cloud environment hosts are configured with Local Resource Monitors (LRM). This LRM monitors the underlying hosts’ resource usage, runs independently and balances the underling host’s load by migrating Virtual Machine (VM) instance. For the dynamic environment, each hosts has varying resource requirement, hosts load cannot remain constant. LRM at each host takes decision for VM migration considering static threshold on its own and other hosts current CPU utilization. This result in chances of getting selected same host for VM placement by multiple hosts to reduce resource usage

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Ramana, Kadiyala, Rajanikanth Aluvalu, Vinit Kumar Gunjan, Ninni Singh, and M. Nageswara Prasadhu. "Multipath Transmission Control Protocol for Live Virtual Machine Migration in the Cloud Environment." Wireless Communications and Mobile Computing 2022 (April 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/2060875.

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For mobile cloud computing (MCC), a local virtual machine- (VM-) based cloudlet is proposed to improve the performance of real-time resource-intensive mobile applications. When a mobile device (MD) discovers a cloudlet nearby, it takes some time to build up a virtual machine (VM) inside the cloudlet before data offloading from the MD to the VM can begin. Live virtual machine migration refers to the process of transferring a running Virtual Machine (VM) from one host to another without interrupting its state. Theoretically, live migration process must not render the instance being migrated unav

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Nkenyereye, Lionel, Lewis Nkenyereye, Bayu Adhi Tama, Alavalapati Reddy, and JaeSeung Song. "Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration." Sensors 20, no. 4 (2020): 1092. http://dx.doi.org/10.3390/s20041092.

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Cloud computing supports many unprecedented cloud-based vehicular applications. To improve connectivity and bandwidth through programmable networking architectures, Software- Defined (SD) Vehicular Network (SDVN) is introduced. SDVN architecture enables vehicles to be equipped with SDN OpenFlow switch on which the routing rules are updated from a SDN OpenFlow controller. From SDVN, new vehicular architectures are introduced, for instance SD Vehicular Cloud (SDVC). In SDVC, vehicles are SDN devices that host virtualization technology for enabling deployment of cloud-based vehicular applications

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Dow, Eli M. "Decomposed multi-objective bin-packing for virtual machine consolidation." PeerJ Computer Science 2 (February 24, 2016): e47. http://dx.doi.org/10.7717/peerj-cs.47.

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In this paper, we describe a novel solution to the problem of virtual machine (VM) consolidation, otherwise known as VM-Packing, as applicable to Infrastructure-as-a-Service cloud data centers. Our solution relies on the observation that virtual machines are not infinitely variable in resource consumption. Generally, cloud compute providers offer them in fixed resource allocations. Effectively this makes all VMs of that allocation type (or instance type) generally interchangeable for the purposes of consolidation from a cloud compute provider viewpoint. The main contribution of this work is to

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Shin, Youngjoo. "A VM-Based Detection Framework against Remote Code Execution Attacks for Closed Source Network Devices." Applied Sciences 9, no. 7 (2019): 1294. http://dx.doi.org/10.3390/app9071294.

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Remote code execution attacks against network devices become major challenges in securing networking environments. In this paper, we propose a detection framework against remote code execution attacks for closed source network devices using virtualization technologies. Without disturbing a target device in any way, our solution deploys an emulated device as a virtual machine (VM) instance running the same firmware image as the target in a way that ingress packets are mirrored to the emulated device. By doing so, remote code execution attacks mounted by maliciously crafted packets will be captu

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Mohamed, Marwa F., Mai Dahshan, Kenli Li, and Ahmad Salah. "Virtual Machine Replica Placement Using a Multiobjective Genetic Algorithm." International Journal of Intelligent Systems 2023 (June 28, 2023): 1–16. http://dx.doi.org/10.1155/2023/8378850.

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Virtual machine (VM) replication is a critical task in any cloud computing platform to ensure the availability of the cloud service for the end user. In this task, one primary VM resides on a physical machine (PM) and one or more replicas reside on separate PMs. In cloud computing, VM placement (VMP) is a well-studied problem in terms of different goals, such as power consumption reduction. The VMP problem can be solved by using heuristics, namely, first-fit and meta-heuristics such as the genetic algorithm. Despite extensive research into the VMP problem, there are few works that consider VM

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Haragi L, Darshan, Mahith S, and Prof Sahana B. "Infrastructure Optimization in Kubernetes Cluster." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 546–55. http://dx.doi.org/10.51201/jusst/21/05292.

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Kubernetes is a compact, extensible, open-source stage for overseeing containerized responsibilities and administrations, that works with both decisive setup and robotization. Kubernetes is like VMs, however having loosened up isolation properties to share the Operating System (OS) among the applications. The container conversely with VM, has its own document framework, a portion of Central Processing Unit(CPU), memory, process space, and much more. Kubernetes cluster is a bunch of node machines for running containerized applications. Each cluster contains a control plane and at least one node

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Kernodle, Michael W., Robert N. McKethan, and Erik Rabinowitz. "Observational Learning of Fly Casting Using Traditional and Virtual Modeling with and without Authority Figure." Perceptual and Motor Skills 107, no. 2 (2008): 535–46. http://dx.doi.org/10.2466/pms.107.2.535-546.

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Traditional and virtual modeling were compared during learning of a multiple degree-of-freedom skill (fly casting) to assess the effect of the presence or absence of an authority figure on observational learning via virtual modeling. Participants were randomly assigned to one of four groups: Virtual Modeling with an authority figure present (VM-A) ( n = 16), Virtual Modeling without an authority figure (VM-NA) ( n = 16), Traditional Instruction ( n = 17), and Control ( n = 19). Results showed significant between-group differences on Form and Skill Acquisition scores. Except for one instance, a

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Ahmed, H. Hadi* Hussein Y. Mahmood. "NEW METHOD TO DETERMINE THE VIRTUAL MASS COEFFICIENT VIRTUALLY FOR SOLID SPHERE PASSES THROUGH NEWTONIAN AND NON-NEWTONIAN LIQUIDS IN HYDROPHOBIC CASE." Global Journal of Engineering Science and Research Management 7, no. 2 (2020): 1–7. https://doi.org/10.5281/zenodo.3689381.

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A new Method is presented to calculate the virtual mass coefficient for solid sphere entering water as Newtonian liquid and Carboxy Methyl Cellulose CMC and Poly Vinyl Alcohol PVA as non-Newtonian liquids with air cavity (hydrophobic entry). The sphere's motion is recorded using high speed digital camera (1000 frame/s). The virtual mass coefficient is calculated virtually by measuring the cavity surface area part that covering the sphere' surface to the immersed part with liquid so the values of C<sub>VM</sub> varies between (0.25-0.5).   In this method, the shape of square is dra

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Kenga, Derdus, Vincent Omwenga, and Patrick Ogao. "Virtual Machine Customization Using Resource Using Prediction for Efficient Utilization of Resources in IaaS Public Clouds." Journal of Information Technology and Computer Science 6, no. 2 (2021): 170–82. http://dx.doi.org/10.25126/jitecs.202162196.

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The main cause of energy wastage in cloud data centres is the low level of server utilization. Low server utilization is a consequence of allocating more resources than required for running applications. For instance, in Infrastructure as a Service (IaaS) public clouds, cloud service providers (CSPs) deliver computing resources in the form of virtual machines (VMs) templates, which the cloud users have to choose from. More often, inexperienced cloud users tend to choose bigger VMs than their application requirements. To address the problem of inefficient resources utilization, the existing app

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Rao, P. Ravinder, and V. Sucharita. "A secure cloud service deployment framework for DevOps." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 874–85. https://doi.org/10.11591/ijeecs.v21.i2.pp874-885.

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The advancements in cloud computing and leveraging the benefits from cloud computing to the service providers have increased the deployment of traditional applications to the cloud. The applications once deployed on the cloud, due to various reasons, need migration from development infrastructure to operational infrastructure, one operational instance to other operational instances due to load balancing and the cycle continues due to the use of DevOps as development strategies for cloud computing applications. Advocates of hybrid and public clouds observe cloud computing makes it possible for

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Seok, Soonhwa, Boaventura DaCosta, Mikayla McHenry-Powell, Linda Heitzman-Powell, and Katrina Ostmeyer. "A Systematic Review of Evidence-Based Video Modeling for Students with Emotional and Behavioral Disorders." Education Sciences 8, no. 4 (2018): 170. http://dx.doi.org/10.3390/educsci8040170.

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This systematic review examined eight studies showing that video modeling (VM) can have a positive and significant effect for students with emotional and behavioral disorders (EBD). Building upon meta-analyses that sought evidence of video-based interventions decreasing problem behaviors of students with EBD in K-12 education, the review examined the standards of the Council for Exceptional Children (CEC) for evidence-based practice as well as additional quality indicators, neglected quality indicators, strategies combined with VM, the impact of the independent variables on the dependent varia

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Qureshi, Shabnam, Purvee Bhardwaj, and Ghizal F. Ansari. "STUDY OF PHYSICAL AND PHOTOLUMINESCENCE PROPERTIES OF ERBIUM IONS DOPED BARIUM-TELLURITE GLASSES." International Journal of Advanced Research 11, no. 09 (2023): 720–28. http://dx.doi.org/10.21474/ijar01/17581.

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Tellurite base glass doped with Erbium ions have been synthesized by melting-quenching method. X-ray diffractogam is used to verification of the glassynature of samples. Differential scanning calorimetry determine the glass transition temperature. Density (Ï) of specimens was calculated by Archimedess principle. Other physical parameters as oxygen packing density (OPD), Erbium ion concentration (CL) in the specimen, molar volume (Vm), intermolecular distance Ri, Polaron radius Rp, erbium ion concentration and Molar index of refraction Rm, were computed. In order to study the optical character

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Rong Chang, Bao, Hsiu-Fen Tsai, Chi-Ming Chen, and Chien-Feng Huang. "Analysis of virtualized cloud server together with shared storage and estimation of consolidation ratio and TCO/ROI." Engineering Computations 31, no. 8 (2014): 1746–60. http://dx.doi.org/10.1108/ec-11-2012-0295.

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Purpose – The physical server transition to virtualized infrastructure server have encountered crucial problems such as server consolidation, virtual machine (VM) performance, workload density, total cost of ownership (TCO), and return on investments (ROIs). In order to solve the problems mentioned above, the purpose of this paper is to perform the analysis of virtualized cloud server together with shared storage as well as the estimation of consolidation ratio and TCO/ROI in server virtualization. Design/methodology/approach – This paper introduces five distinct virtualized cloud computing se

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Ya'u, Badamasi Imam, Azlin Nordin, and Norsaremah Salleh. "META-MODELING CONSTRUCTS FOR REQUIREMENTS REUSE (RR): SOFTWARE REQUIREMENTS PATTERNS, VARIABILITY AND TRACEABILITY." MALAYSIAN JOURNAL OF COMPUTING 3, no. 2 (2018): 119. http://dx.doi.org/10.24191/mjoc.v3i2.4181.

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Reuse is a fundamental activity, which increases quality and productivity of software products. Reuse of software artifacts, such as requirements, architectures, and codes can be employed at any developmental stage of software. However, reuse at a higher level of abstraction, for instance at requirements level, provides greater benefits in software development than when applied at lower level of abstraction for example at coding level. To achieve full benefits of reuse, a systematic approach and appropriate strategy need to be followed. Although several reuse approaches are reported in the lit

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Wijayanto, Danur, Arizona Firdonsyah, Faisal Dharma Adhinata, and Akhmad Jayadi. "Rancang Bangung Private Server Menggunakan Platform Proxmox dengan Studi Kasus: PT.MKNT." Journal ICTEE 2, no. 2 (2021): 41. http://dx.doi.org/10.33365/jictee.v2i2.1333.

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Teknologi virtualisasi memerankan peran penting Infrastuktur TI meliputi private data centers dan platform public cloud. Ada beberapa jenis virtualisasi yaitu Virtualisasi Container dan Hypervisor. Virtualisasi berbasis container menggunakan kernel yang sama dan bekerja dalam layer software. Container memungkinkan menjalankan beberapa instance sistem operasi dan perangkat keras yang sama . Berbeda dengan container, hypervisor beroperasi pada level hardware memerlukan Operasi Sistem yang terpisah dengan sistem host. Ada beberapa platform virtualisasi yang dapat digunakan seperti Proxmox, VMWare

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Zhao, Jiaqi, Yousri Mhedheb, Jie Tao, Foued Jrad, Qinghuai Liu, and Achim Streit. "Using a vision cognitive algorithm to schedule virtual machines." International Journal of Applied Mathematics and Computer Science 24, no. 3 (2014): 535–50. http://dx.doi.org/10.2478/amcs-2014-0039.

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Abstract Scheduling virtual machines is a major research topic for cloud computing, because it directly influences the performance, the operation cost and the quality of services. A large cloud center is normally equipped with several hundred thousand physical machines. The mission of the scheduler is to select the best one to host a virtual machine. This is an NPhard global optimization problem with grand challenges for researchers. This work studies the Virtual Machine (VM) scheduling problem on the cloud. Our primary concern with VM scheduling is the energy consumption, because the largest

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Qureshi, Shabnam, Purvee Bhardwaj, and Ghizal F. Ansari. "Physical and Luminescence Properties of Europium Ions Doped Barium Tellurite Glass." Materials Science Forum 1097 (September 27, 2023): 63–69. http://dx.doi.org/10.4028/p-low6r3.

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Barium tellurite (Ba-Te) base glass with and without europium ions have been synthesized by customary melting and quenching method. XRD is done for the verification of the nature of prepared specimens. DSC of the samples was done to determine the glass transition temperature. Density (ρ) of specimens was calculated by Archimedes’s principle. Other physical parameters as oxygen packing density (OPD), Europium ion concentration (CL) in the specimen, molar volume (Vm), intermolecular distance Ri, Polaron radius Rp, europium ion concentration and Molar index of refraction Rm, were computed. In ord

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U, Dhanush, Prasannasai S Hulikatti, Raghavendra H Malager, Sandur Shreesha, and Prakash Biswagar. "A Secure File Transfer over Virtual Machine Instances using Hybrid Encryption Technique." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 77–84. http://dx.doi.org/10.51201/jusst/21/05219.

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Cloud Computing is used to share data, services, and resources via a network but this system is vulnerable to cyber-attacks by an unauthorized person denying the user privacy and confidentiality. The exponential growth in Information technology especially in the field of Cloud Computing has seen a rise in security attacks such as Interruption, Interception, Modification, Fabrication making it absolutely necessary to enhance cloud security as well as network security. To tackle the menace of security threats is to make use of the various encryption techniques and to ensure secure transmission o

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Sidagouda Basagouda Patil. "Gaussian Based Convergence Factor with Squirrel Search Algorithm for Optimal Resource Allocation in Cloud Computing for Small Finance Organization." Power System Technology 49, no. 1 (2025): 1142–60. https://doi.org/10.52783/pst.1664.

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Cloud Computing (CC) have high attention because of executing the requests, accordance with user needs and gives quality services and task execution time among Virtual Machines (VM). But, the resource allocation for different applications is the problem because of dynamic workload conditions and uncertainty in cloud network. In this manuscript, the Gaussian based Convergence Factor (GCF) with Squirrel Search Algorithm (SSA) for allocating the optimal resource in cloud environment for small finance organization. The proposed GCF with SSA effectively balances the workload and allocates much appr

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Singh, K. R., A. D. Gaikwad, and S. D. Kamble. "Empirical analysis of machine learning-based energy efficient cloud load balancing architectures: a quantitative perspective." 3C Empresa. Investigación y pensamiento crítico 11, no. 02 (2022): 232–48. http://dx.doi.org/10.17993/3cemp.2022.110250.232-248.

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Design of energy efficient load balancing models in cloud environments requires in-depth analysis of the cloud architecture and nature of requests served by the cloud. Depending upon these parameters, machine learning models are designed which aim at assigning best possible resource combination to serve the given tasks. This assignment varies w.r.t. multiple task and cloud parameters; which include task time, virtual machine (VM) performance, task deadline, energy consumption, etc. In order to perform this task, a wide variety of algorithms are developed by researchers cloud designers. Each of

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Imran, Muhammad, Valentin Kuznetsov, Panos Paparrigopoulos, Spyridon Trigazis, and Andreas Pfeiffer. "Evaluation and Implementation of Various Persistent Storage Options for CMSWEB Services in Kubernetes Infrastructure at CERN." Journal of Physics: Conference Series 2438, no. 1 (2023): 012035. http://dx.doi.org/10.1088/1742-6596/2438/1/012035.

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Abstract This paper summarizes the various storage options that we implemented for the CMSWEB cluster in Kubernetes infrastructure. All CMSWEB services require storage for logs, while some services also require storage for data. We also provide a feasibility analysis of various storage options and describe the pros/cons of each technique from the perspective of the CMSWEB cluster and its users. In the end, we also propose recommendations according to the service needs. The first option is the CephFS which can be mounted multiple times across various clusters and VMs and works very well with k8

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Tsagkaropoulos, Andreas, Yiannis Verginadis, Maxime Compastié, Dimitris Apostolou, and Gregoris Mentzas. "Extending TOSCA for Edge and Fog Deployment Support." Electronics 10, no. 6 (2021): 737. http://dx.doi.org/10.3390/electronics10060737.

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The emergence of fog and edge computing has complemented cloud computing in the design of pervasive, computing-intensive applications. The proximity of fog resources to data sources has contributed to minimizing network operating expenditure and has permitted latency-aware processing. Furthermore, novel approaches such as serverless computing change the structure of applications and challenge the monopoly of traditional Virtual Machine (VM)-based applications. However, the efforts directed to the modeling of cloud applications have not yet evolved to exploit these breakthroughs and handle the

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Patra, Sudhansu Shekhar, and R. K. Barik. "Dynamic Dedicated Server Allocation for Service Oriented Multi-Agent Data Intensive Architecture in Biomedical and Geospatial Cloud." International Journal of Cloud Applications and Computing 4, no. 1 (2014): 50–62. http://dx.doi.org/10.4018/ijcac.2014010105.

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Cloud computing has recently received considerable attention, as a promising approach for delivering Information and Communication Technologies (ICT) services as a utility. In the process of providing these services it is necessary to improve the utilization of data centre resources which are operating in most dynamic workload environments. Datacenters are integral parts of cloud computing. In the datacenter generally hundreds and thousands of virtual servers run at any instance of time, hosting many tasks and at the same time the cloud system keeps receiving the batches of task requests. It p

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Syed, Iffath Unissa. "Remittance Flows from Healthcare Workers in Toronto, Canada." Sustainability 13, no. 17 (2021): 9536. http://dx.doi.org/10.3390/su13179536.

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Previous research indicates that Canadian healthcare workers, particularly long-term care (LTC) workers, are frequently composed of immigrant and racialized/visible minorities (VM) who are often precariously employed, underpaid, and face significant work-related stress, violence, injuries, illness, and health inequities. Few studies, however, have analyzed the contributions and impact of their labor in international contexts and on global communities. For instance, it is estimated that over CAD 5 billion-worth of remittances originate from Canada, yet no studies to date have examined the contr

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Choi, Yeongho, Yujin Lim, and Jaesung Park. "Optimal Bidding Strategy for VM Spot Instances for Cloud Computing." Journal of Korean Institute of Communications and Information Sciences 40, no. 9 (2015): 1802–7. http://dx.doi.org/10.7840/kics.2015.40.9.1802.

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Lu, Yong, Zhimin Wang, Zichen Zhao, Dongliang Zhao, and Yonggang Zhang. "Hydraulic Characteristics of a New Vertical Slot Fishway with Staggered Baffles Configuration." Water 17, no. 6 (2025): 809. https://doi.org/10.3390/w17060809.

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The vertical slot fishway (VSF) has proven effective in mitigating the severe fragmentation of rivers caused by artificial hydraulic structures. While fishways with steeper slopes exhibit better economic performance, increased slope can raise the flow velocity and turbulence, which may hinder fish migration. To address this issue, this study investigated the application of a VSF with a staggered baffle configuration. Through numerical modeling, the hydraulic characteristics of the VSF under various slope ratios and chamber length-to-width (L/B) ratios were investigated, with data validated by

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Mishra, Ashish Kumar, Brajesh Kumar Umrao, and Dharmendra K. Yadav. "A survey on optimal utilization of preemptible VM instances in cloud computing." Journal of Supercomputing 74, no. 11 (2018): 5980–6032. http://dx.doi.org/10.1007/s11227-018-2509-0.

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Venkata, Sasidhar (Sasi) Kanumuri. "Compute Cost Optimization: Unleashing Cost Savings and Efficiency Wins with Current-Gen AWS EC2 Instances/ Virtual Machines (VM)." European Journal of Advances in Engineering and Technology 9, no. 7 (2022): 51–58. https://doi.org/10.5281/zenodo.12758890.

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The ever-growing cloud landscape demands strategic cost management practices, and non-containerized workloads often pose a significant cost challenge. This article explores how new-generation EC2 instances (C, R, M families) offer a transformative approach to optimizing and empowering these workloads. We delve into the limitations of traditional methods, highlighting the performance, pricing, and feature advancements offered by new-gen instances. Concrete comparisons and quantifiable results showcased through real-world case studies demonstrate substantial cost savings, performance gains, and

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Hasan, Waqas. "Virtual Machine Migration in Cloud Computing." Oriental journal of computer science and technology 14, no. 010203 (2022): 46–51. http://dx.doi.org/10.13005/ojcst14.010203.06.

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Cloud computing provides multiple services to users through the internet and these services include cloud storage, applications, servers, security and large network access. Virtual Machine allows the user to emulate multiple operating systems on a single computer; with the help of virtual machine migration users can transfer operating system instances from one computer to multiple computer machines. In this paper we will be discussing VM migration in cloud and also I will explain the whole procedure of VM migration. The two methods through which we can perform VM migration are Live VM migratio

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Hasan, Waqas. "A Survey on Virtual Machine Migration in Cloud Computing." International Journal of Scientific & Engineering Research 13, no. 03 (2022): 648–53. http://dx.doi.org/10.14299/ijser.2022.03.03.

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Cloud computing provides multiple services to users through the internet and these services include cloud storage, applications, servers, security and large network access. Virtual Machine allows the user to emulate multiple operating systems on a single computer; with the help of virtual machine migration users can transfer operating system instances from one computer to multiple computer machines. In this paper we will be discussing VM migration in cloud and also I will explain the whole procedure of VM migration. The two methods through which we can perform VM migration are Live VM migratio

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Mohanty, Suneeta, Prasant Kumar Pattnaik, and G. B. Mund. "Privacy Preserving Auction Based Virtual Machine Instances Allocation Scheme for Cloud Computing Environment." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2645. http://dx.doi.org/10.11591/ijece.v7i5.pp2645-2650.

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<p>Cloud Computing Environment provides computing resources in the form of Virtual Machines (VMs), to the cloud users through Internet. Auction-based VM instances allocation allows different cloud users to participate in an auction for a bundle of Virtual Machine instances where the user with the highest bid value will be selected as the winner by the auctioneer (Cloud Service Provider) to gain more. In this auction mechanism, individual bid values are revealed to the auctioneer in order to select the winner as a result of which privacy of bid values are lost. In this paper, we proposed

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Kumar, Kamal, and Jyoti Thaman. "Improving Virtual Machine Migration Effects in Cloud Computing Environments Using Depth First Inspired Opportunity Exploration." International Journal of Cloud Applications and Computing 12, no. 1 (2022): 1–22. http://dx.doi.org/10.4018/ijcac.314209.

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The cloud platform has established itself as the de-facto standard in IT outsourcing. This is resulting in large-scale migration of infrastructure and development platforms from in-house to cloud service providers. Many recent proposals on cloud platforms have addressed several issues that appeared on the cloud horizon. VM placement (VMP) has been a serious concern when it comes to placement of VMs after migration or VM reallocation. Most of the recent works have lacked multiple VM placement (MVMP) problem instances. A recently researched idea of MVMP through depth first opportunistic explorat

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Amar Gujeti. "INTELLIGENT CLOUD VM PLACEMENT FOR MINIMIZING IMAGE RETRIEVAL & COMMUNICATION OVERHEAD." International Journal of Engineering Research and Science & Technology 17, no. 4 (2021): 50–56. https://doi.org/10.62643/ijerst.2021.v17i4.pp50-56.

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This study represents a heuristic technique focused on optimizing the deployment of a virtual machine (VM) in cloud data centers focusing on minimizing image search and communication expenses. It presents three new algorithms: PM clustering, VM division and VMPM mapping. The aim of the PM clustering is to reduce the overall communication operation of the longest communication distance between physical machines (PMS) and their aggregation to improve communication efficiency. The VM distribution uses a gross assignment strategy for clusters of analogous VM, increases image search performance and

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Trapti, Gupta*1 &. Abhishek Dwivedi2. "DATA STORAGE & LOAD BALANCING IN CLOUD COMPUTING USING CONTAINER CLUSTERING." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 656–66. https://doi.org/10.5281/zenodo.996047.

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At the moment, cloud containers are a hot topic in the IT world in general, and security in particular. The world's top technology companies, including Microsoft, Google and Facebook, all use them. Although it's still early days, containers are seeing increasing use in production environments. Containers promise a streamlined, easy-to-deploy and secure method of implementing specific infrastructure requirements, and they also offer an alternative to virtual machines. The key thing to recognize with cloud containers is that they are designed to virtualize a single application -- e.g., you have

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Saber, Takfarinas, Joao Marques-Silva, James Thorburn, and Anthony Ventresque. "Exact and Hybrid Solutions for the Multi-Objective VM Reassignment Problem." International Journal on Artificial Intelligence Tools 26, no. 01 (2017): 1760004. http://dx.doi.org/10.1142/s0218213017600041.

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Machine Reassignment is a challenging problem for constraint programming (CP) and mixed integer linear programming (MILP) approaches, especially given the size of data centres. Hybrid solutions mixing CP and heuristic algorithms, such as, large neighbourhood search (CBLNS), also struggle to address the problem given its size and number of constraints. The multi-objective version of the Machine Reassignment Problem is even more challenging and it seems unlikely for CP, MILP or hybrid solutions to obtain good results in this context. As a result, the first approaches to address this problem have

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Jeyarani, R., and N. Nagaveni. "A Heuristic Meta Scheduler for Optimal Resource Utilization and Improved QoS in Cloud Computing Environment." International Journal of Cloud Applications and Computing 2, no. 1 (2012): 41–52. http://dx.doi.org/10.4018/ijcac.2012010103.

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This paper presents a novel Meta scheduler algorithm using Particle Swarm Optimization (PSO) for cloud computing environment that focuses on fulfilling deadline requirements of the resource consumers as well as energy conservation requirement of the resource provider contributing towards green IT. PSO is a population-based heuristic method which can be used to solve NP-hard problems. The nature of jobs is considered to be independent, non pre-emptive, parallel and time critical. In order to execute jobs in a cloud, primarily Virtual Machine (VM) instances are launched in appropriate physical s

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Sharma, Oshin, and Hemraj Saini. "Performance Evaluation of VM Placement Using Classical Bin Packing and Genetic Algorithm for Cloud Environment." International Journal of Business Data Communications and Networking 13, no. 1 (2017): 45–57. http://dx.doi.org/10.4018/ijbdcn.2017010104.

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In current era, the trend of cloud computing is increasing with every passing day due to one of its dominant service i.e. Infrastructure as a service (IAAS), which virtualizes the hardware by creating multiple instances of VMs on single physical machine. Virtualizing the hardware leads to the improvement of resource utilization but it also makes the system over utilized with inefficient performance. Therefore, these VMs need to be migrated to another physical machine using VM consolidation process in order to reduce the amount of host machines and to improve the performance of system. Thus, th

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Mishra, Ashish Kumar, Dharmendra K. Yadav, Yogesh Kumar, and Naman Jain. "Improving reliability and reducing cost of task execution on preemptible VM instances using machine learning approach." Journal of Supercomputing 75, no. 4 (2018): 2149–80. http://dx.doi.org/10.1007/s11227-018-2717-7.

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Oleksiuk, Vasyl P., Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk, and Yaroslav P. Vasylenko. "Some experience in maintenance of an academic cloud." CTE Workshop Proceedings 8 (March 19, 2021): 165–78. http://dx.doi.org/10.55056/cte.230.

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The article is devoted to the systematization of experience in the deployment, maintenance and servicing of the private academic cloud. The article contains model of the authors’ cloud infrastructure. It was developed at Ternopil Volodymyr Hnatiuk National Pedagogical University (Ukraine) on the basis of the Apache CloudStack platform. The authors identify the main tasks for maintaining a private academic cloud. Here they are making changes to the cloud infrastructure; maintenance of virtual machines (VM) to determine the performance and migration of VM instances; work with VMs; backup of all

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Jeyarani, R., N. Nagaveni, and R. Vasanth Ram. "Self Adaptive Particle Swarm Optimization for Efficient Virtual Machine Provisioning in Cloud." International Journal of Intelligent Information Technologies 7, no. 2 (2011): 25–44. http://dx.doi.org/10.4018/jiit.2011040102.

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Cloud Computing provides dynamic leasing of server capabilities as a scalable, virtualized service to end users. The discussed work focuses on Infrastructure as a Service (IaaS) model where custom Virtual Machines (VM) are launched in appropriate servers available in a data-center. The context of the environment is a large scale, heterogeneous and dynamic resource pool. Nonlinear variation in the availability of processing elements, memory size, storage capacity, and bandwidth causes resource dynamics apart from the sporadic nature of workload. The major challenge is to map a set of VM instanc

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Khaleel, Mustafa, and Mengxia Zhu. "Efficient and Fair Bandwidth Scheduling in Cloud Environments." ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 6, no. 2 (2018): 20. http://dx.doi.org/10.14500/aro.10441.

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Hundreds of thousands of servers from data centers are operated to provide users with pay-as-yougo infrastructure as a service, platform as a service, and software as a service. Many different types of virtual machine (VM) instances hosted on these servers oftentimes need to efficiently communicate with data movement under current bandwidth capacity. This motivates providers to seek for a bandwidth scheduler to satisfy objectives, namely assuring the minimum bandwidth per VM for the guaranteed deadline and eliminating network congestion as much as possible. Based on some rigorous mathematical

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Suneeta, Mohanty, Kumar Pattnaik Prasant, and B. Mund G. "Privacy Preserving Auction Based Virtual Machine Instances Allocation Scheme for Cloud Computing Environment." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2645–50. https://doi.org/10.11591/ijece.v7i5.pp2645-2650.

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Cloud Computing Environment provides computing resources in the form of Virtual Machines (VMs), to the cloud users through Internet. Auction-basedVM instances allocation allows different cloud users to participate in anauction for a bundle of Virtual Machine instances where the user with thehighest bid value will be selected as the winner by the auctioneer (CloudService Provider) to gain more. In this auction mechanism, individual bidvalues are revealed to the auctioneer in order to select the winner as a resultof which privacy of bid values are lost. In this paper, we proposed an auctionschem

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Samuel, Madan, David M. Burge, and Robert J. Marchbanks. "Tympanic membrane displacement testing in regular assessment of intracranial pressure in eight children with shunted hydrocephalus." Journal of Neurosurgery 88, no. 6 (1998): 983–95. http://dx.doi.org/10.3171/jns.1998.88.6.0983.

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Object. The authors assessed the accuracy and repeatability of the tympanic membrane displacement (TMD) test, an audiometric technique that is used to evaluate changes in intracranial pressure (ICP) in children with shunted hydrocephalus. Methods. A prospective comparative evaluation of 31 clinical episodes of shunt malfunction was made by using the serial TMD test and direct ICP measurement in eight children with shunted hydrocephalus between January 1995 and February 1996. The volume displacement of the tympanic membrane (Vm) on stapedial contraction was inward for raised ICP in 11 instances

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Jiang, Harry, Xiaoxi Zhang, and Carlee Joe-Wong. "DOLL." ACM SIGMETRICS Performance Evaluation Review 50, no. 2 (2022): 21–23. http://dx.doi.org/10.1145/3561074.3561082.

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Most large-scale ML implementations scale to large amounts of data by utilizing multiple servers or virtual machines (VMs) that iteratively compute model updates on local data that are periodically synchronized. Due to the complexity of managing the resulting computing infrastructure, many companies run their ML jobs on external cloud providers' servers. However, cloud resources can be expensive, particularly for large ML jobs with long runtimes. A particularly popular method to limit the costs of training ML jobs is to utilize preemptible cloud instances. These may be interrupted at the cloud

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