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Nowadays, machine learning (ML) teams have multiple concurrent ML workflows for different applications. Each workflow typically involves many experiments, iterations, and collaborative activities and commonly takes months and sometimes…

Software Engineering · Computer Science 2025-09-19 Saiful Khan , Joyraj Chakraborty , Philip Beaucamp , Niraj Bhujel , Min Chen

In cloud computing environment, load balancing is a key issue which is required to distribute the dynamic workload over multiple machines to make certain that no single machine is overloaded. In recent research, many organizations lose…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-02 Chukwuneke Chiamaka Ijeoma , Inyiama , Hyacinth C. , Amaefule Samuel , Onyesolu Moses Okechukwu , Asogwa Doris Chinedu

The paragraph is grammatically correct and logically coherent. It discusses the importance of mobile terminal cloud computing migration technology in meeting the demands of evolving computer and cloud computing technologies. It emphasizes…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-21 Yulu Gong , Jiaxin Huang , Bo Liu , Jingyu Xu , Binbin Wu , Yifan Zhang

The Cloud Computing paradigm consists in providing customers with virtual services of the quality which meets customers' requirements. A cloud service operator is interested in using his infrastructure in the most efficient way while…

Data Structures and Algorithms · Computer Science 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

Upon the expansion of Cloud Computing and the positive outlook of organizations with regard to the movements towards using cloud computing and their expanding utilization of such valuable processing method, as well as the solutions provided…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-30 Yaghoob Siahmargooei , Mohammad Kazem Akbari , Seyyed Alireza Hashemi Golpayegani , Saeed Sharifian

We address a cost optimization problem faced by a user who runs instances of applications in a remote cloud configuration constructed of multiple virtual machines (VMs). Each VM runs a single application instance which can execute tasks…

Networking and Internet Architecture · Computer Science 2019-04-05 Mark Shifrin , Roy Mitrany , Erez Biton , Omer Gurewitz

Cloud computing has emerged as a powerful and elastic platform for internet service hosting, yet it also draws concerns of the unpredictable performance of cloud-based services due to network congestion. To offer predictable performance,…

Networking and Internet Architecture · Computer Science 2017-01-10 Ruozhou Yu , Guoliang Xue , Xiang Zhang , Dan Li

Microservice-based cloud applications face changing workloads, evolving request paths, variable network conditions, interference, and failures. These dynamics couple autoscaling, placement, routing, isolation, and remediation. The survey…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-29 Ming Chen , Muhammed Tawfiqul Islam , Maria Rodriguez Read , Rajkumar Buyya

Container technique is gaining increasing attention in recent years and has become an alternative to traditional virtual machines. Some of the primary motivations for the enterprise to adopt the container technology include its convenience…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-06 Qi Zhang , Ling Liu , Calton Pu , Qiwei Dou , Liren Wu , Wei Zhou

By integrating Software-Defined Networking and cloud computing, virtualized networking and computing resources can be dynamically reallocated through live migration of Virtual Machines (VMs). Dynamic resource management such as load…

Networking and Internet Architecture · Computer Science 2023-02-08 TianZhang He , Adel N Toosi , Rajkumar Buyya

Motivated by current trends in cloud computing, we study a version of the generalized assignment problem where a set of virtual processors has to be implemented by a set of identical processors. For literature consistency, we say that a set…

Data Structures and Algorithms · Computer Science 2014-06-11 Jordi Arjona Aroca , Antonio Fernandez Anta , Miguel A. Mosteiro , Christopher Thraves , Lin Wang

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

Efficient virtual machine load balancing scheduling is crucial in cloud computing to optimize resource utilization and system performance. To address this issue, several load balancing scheduling algorithms have been proposed, including…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Priyank Vaidya , Abhinav Sharma , Murli Patel

Cloud computing has been widely adopted due to the flexibility in resource provisioning and on-demand pricing models. Entire clusters of Virtual Machines (VMs) can be dynamically provisioned to meet the computational demands of users.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-27 Long Thai , Blesson Varghese , Adam Barker

Virtualization has become commonplace in modern data centers, often referred as "computing clouds". The capability of virtual machine live migration brings benefits such as improved performance, manageability and fault tolerance, while…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-12-12 William Voorsluys , James Broberg , Srikumar Venugopal , Rajkumar Buyya

Cloud computing is becoming an essential component of modern computer and communication systems. The available resources at the cloud such as computing nodes, storage, databases, etc. are often packaged in the form of virtual machines (VMs)…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-03 Muhammad Junaid Farooq , Quanyan Zhu

Cloud providers introduce features (e.g., Spot VMs, Harvest VMs, and Burstable VMs) and optimizations (e.g., oversubscription, auto-scaling, power harvesting, and overclocking) to improve efficiency and reliability. To effectively utilize…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-14 Anjaly Parayil , Jue Zhang , Xiaoting Qin , Íñigo Goiri , Lexiang Huang , Timothy Zhu , Chetan Bansal

The cloud computing paradigm underlines data center and telecommunication infrastructure design. Heavily leveraging virtualization, it slices hardware and software resources into smaller software units for greater flexibility of…

Networking and Internet Architecture · Computer Science 2026-02-06 Pedro R. X. do Carmo , Eduardo Freitas , Assis T. de Oliveira Filho , Judith Kelner , Djamel Sadok

Multi-robot motion planning (MRMP) is the problem of finding collision-free paths for a set of robots in a continuous state space. The difficulty of MRMP increases with the number of robots and is exacerbated in environments with narrow…

Robotics · Computer Science 2023-11-17 Courtney McBeth , James Motes , Diane Uwacu , Marco Morales , Nancy M. Amato

Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation. Existing mainstream cloud service providers have…

Machine Learning · Computer Science 2021-08-23 Zhiheng Zhong , Minxian Xu , Maria Alejandra Rodriguez , Chengzhong Xu , Rajkumar Buyya