Системні дослідження та інформаційні технології: міжнародний науково-технічний журнал, № 4
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Перегляд Системні дослідження та інформаційні технології: міжнародний науково-технічний журнал, № 4 за Ключові слова "cloud computing"
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Документ Відкритий доступ A comprehensive survey on load balancing techniques for virtual machines(КПІ ім. Ігоря Сікорського, 2023) Suman Sansanwal; Nitin JainCloud computing is an emerging technique with remarkable features such as scalability, high flexibility, and reliability. Since this field is growing exponentially, more users are attracted to fast and better service. Virtual Machine (VM) allocation plays a crucial role in cloud computing optimization; hence, resource distribution is not impacted by machine failure and is migrated with no downtime. Therefore, effective management of virtual machines is necessary for increasing profit, energy-saving, etc. However, it could utilize the virtual machine resources more efficiently because of the increased load, so load balancing is more concentrated. The predominant purpose of load balancing is to balance the available load equally among the nodes to avoid overloading or underloading problems. The present study conducted an extensive survey on virtual machine placement to describe the application of prediction algorithms and to provide more efficient, reliable, high response, and low overhead VM placement. Furthermore, the survey attempted to overview the challenges in load balancing in VM placement and various ideas of state-of-the-art techniques to resolve the issues.Документ Відкритий доступ Survey of image deduplication for cloud storage(КПІ ім. Ігоря Сікорського, 2023) Chaudhari, Shilpa; Aparna, RamalingappaIncreased growth of real-life communication has motivated the creation, transmission, and digital storage of vast volumes of images and video data on the cloud. The explosive increase in virtual/visual image data on cloud servers requires efficient storage utilization that can be addressed using image deduplication technology. Even though the virtual and visual image properties are different, the existing literature uses a similar approach for deduplication checks, which motivated us to consider both image types for this review. This article aims to provide a detailed survey of state-of-the-art visuals as well as virtual image deduplication techniques in a cloud environment, summarizing and organizing them by developing a fivedimensional taxonomy for analysing the features and performance with several nonoverlapping categories in each dimension. These include: 1) location of applying deduplication; 2) image feature extraction; 3) time of application; 4) image data partitioning strategy; 5) involvement of user dataset level. Existing image deduplication techniques are categorized into two main categories based on whether the technique involves security. A comparison of techniques is discussed across a set of functional and performance parameters. The current issues are highlighted with the possible future directions to motivate further research studies on the topic.