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Underutilization of computing resources and high power consumption are two primary challenges in the domain of Cloud resource management. This paper deals with these challenges through offline, migration impact-aware, multi-objective…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-22 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya

Saving energy is an important issue for cloud providers to reduce energy cost in a data center. With the increasing popularity of cloud computing, it is time to examine various energy reduction methods for which energy consumption could be…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-21 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Cloud computing environments demand dynamic and efficient resource management to ensure optimal performance, reduced energy consumption, and adherence to Service Level Agreements (SLAs). This paper presents a Genetic Algorithm (GA)-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-25 Caroline Panggabean , Devaraj Verma C , Bhagyashree Gogoi , Ranju Limbu , Rhythm Sarker

In this paper Hybrid Ant Colony Optimization (HAntCO) approach in solving Multi--Skill Resource Constrained Project Scheduling Problem (MS--RCPSP) has been presented. We have proposed hybrid approach that links classical heuristic priority…

Neural and Evolutionary Computing · Computer Science 2016-04-01 Paweł B. Myszkowski , Marek E. Skowroński , Łukasz P. Olech , Krzysztof Oślizło

Resource sharing among users serves as the foundation of cloud computing, which, however, may also cause vulnerabilities to diverse co-residence attacks launched by malicious virtual machines (VM) residing in the same physical server with…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-22 Lu Cao , Ruiwen Li , Xiaojun Ruan , Yuhong Liu

Energy efficiency has become an important measurement of scheduling algorithms in virtualized data centers. One of the challenges of energy-efficient scheduling algorithms, however, is the trade-off between minimizing energy consumption and…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-10-30 Nguyen Quang-Hung , Nam Thoai , Nguyen Thanh Son , Duy-Khanh Le

In this paper, a re-evaluation undertaken for dynamic VM consolidation problem and optimal online deterministic algorithms for the single VM migration in an experimental environment. We proceeded to focus on energy and performance trade-off…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-18 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Cloud computing is one of the rapidly improving technologies. It provides scalable resources needed for the ap- plications hosted on it. As cloud-based services become more dynamic, resource provisioning becomes more challenging. The QoS…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-02-15 Lskrao Chimakurthi , Madhu Kumar S D

Currently, many businesses are using cloud computing to obtain an entire IT infrastructure remotely while delegating its management to a third party. The provider of this architecture ensures the operation and maintenance of the services…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-20 Oussama Smimite , Karim Afdel

To facilitate cost-effective and elastic computing benefits to the cloud users, the energy-efficient and secure allocation of virtual machines (VMs) plays a significant role at the data centre. The inefficient VM Placement (VMP) and sharing…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-29 Deepika Saxena , Ishu Gupta , Jitendra Kumar , Ashutosh Kumar Singh , Xiaoqing Wen

Ant colony optimization (ACO) is a commonly used meta-heuristic to solve complex combinatorial optimization problems like traveling salesman problem (TSP), vehicle routing problem (VRP), etc. However, classical ACO algorithms provide better…

Emerging Technologies · Computer Science 2021-11-05 Mrityunjay Ghosh , Nivedita Dey , Debdeep Mitra , Amlan Chakrabarti

Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) are simple, easy to implement, their robustness to control parameters, and their computational efficiency when compared with mathematical algorithms and other heuristic…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-24 Harsha R. Gaikwad , Pradnyarani K. Mahind , Sandeep U. Mane

Cloud computing has become more popular in provision of computing resources under virtual machine (VM) abstraction for high performance computing (HPC) users to run their applications. A HPC cloud is such cloud computing environment. One of…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-09-16 Nguyen Quang-Hung , Nam Thoai , Nguyen Thanh Son

Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-03 Rajkumar Buyya , Anton Beloglazov , Jemal Abawajy

With the advancement of Cloud Computing over the past few years, there has been a massive shift from traditional data centers to cloud enabled data centers. The enterprises with cloud data centers are focusing their attention on energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-25 Radheshyam Nanduri , Dharmesh Kakadia , Vasudeva Varma

In virtualized data centers, consolidation of Virtual Machines (VMs) on minimizing the number of total physical machines (PMs) has been recognized as a very efficient approach. This paper considers the energy-efficient consolidation of VMs…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-04-18 Guozhong Li , Yaqiu Jiang , Wutong Yang , Chaojie Huang , Wenhong Tian

The rapid growth of Internet of Things (IoT) devices produces massive, heterogeneous data streams, demanding scalable and efficient scheduling in cloud environments to meet latency, energy, and Quality-of-Service (QoS) requirements.…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Noor Islam S. Mohammad

Cloud computing has attracted both end-users and Cloud Service Providers (CSPs) in recent years. Improving resource utilization rate (RUtR), such as CPU and memory usages on servers, while maintaining Quality-of-Service (QoS) is one key…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-13 Mingxi Cheng , Ji Li , Paul Bogdan , Shahin Nazarian

Ant Colony Optimization (ACO) is a family of nature-inspired metaheuristics often applied to finding approximate solutions to difficult optimization problems. Despite being significantly faster than exact methods, the ACOs can still be…

Neural and Evolutionary Computing · Computer Science 2022-03-07 Rafał Skinderowicz

Efficient resource allocation is one of the critical performance challenges in an Infrastructure as a Service (IaaS) cloud. Virtual machine (VM) placement and migration decision making methods are integral parts of these resource allocation…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-12-04 Gaurav Somani , Prateek Khandelwal , Kapil Phatnani
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