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The in-memory cache system is an important component in a cloud for the data access performance. As the tenants may have different performance goals for data access depending on the nature of their tasks, effectively managing the memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-05 Taejoon Kim , Yu Gu , Jinoh Kim

Design and architecture of cloud storage system plays a vital role in cloud computing infrastructure in order to improve the storage capacity as well as cost effectiveness. Usually cloud storage system provides users to efficient storage…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-12-12 Tin Tin Yee , Thinn Thu Naing

We propose CFS, a distributed file system for large scale container platforms. CFS supports both sequential and random file accesses with optimized storage for both large files and small files, and adopts different replication protocols for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-11 Haifeng Liu , Wei Ding , Yuan Chen , Weilong Guo , Shuoran Liu , Tianpeng Li , Mofei Zhang , Jianxing Zhao , Hongyin Zhu , Zhengyi Zhu

Large-scale systems with all-flash arrays have become increasingly common in many computing segments. To make such systems resilient, we can adopt erasure coding such as Reed-Solomon (RS) code as an alternative to replication because…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-21 Sungjoon Koh , Jie Zhang , Miryeong Kwon , Jungyeon Yoon , David Donofrio , Nam Sung Kim , Myoungsoo Jung

Various performance characteristics of distributed file systems have been well studied. However, the performance efficiency of distributed file systems on small-file problems with complex machine learning algorithms scenarios is not well…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-01 Thanh Duong , Quoc Luu , Hung Nguyen

We investigate the effect of omnipresent cloud storage on distributed computing. We specify a network model with links of prescribed bandwidth that connect standard processing nodes, and, in addition, passive storage nodes. Each passive…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-28 Yehuda Afek , Gal Giladi , Boaz Patt-Shamir

Training and deploying deep learning models in real-world applications require processing large amounts of data. This is a challenging task when the amount of data grows to a hundred terabytes, or even, petabyte-scale. We introduce a hybrid…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-17 Davit Buniatyan

As the capacity of Solid-State Drives (SSDs) is constantly being optimised and boosted with gradually reduced cost, the SSD cluster is now widely deployed as part of the hybrid storage system in various scenarios such as cloud computing and…

Performance · Computer Science 2023-03-24 Jiashu Wu , Yang Wang , Jinpeng Wang , Hekang Wang , Taorui Lin

Worldwide, storage demands and costs are increasing. As a consequence of fault tolerance, storage device heterogenity, and data center specific constraints, optimal storage capacity utilization cannot be achieved with the integrated…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-25 Jonas Jelten , Alessandro Wollek , David Frank , Tobias Lasser

Different departments of a large organization often run dedicated cluster systems for different computing loads, like HPC (high performance computing) jobs or Web service applications. In this paper, we have designed and implemented a cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-07-20 Jianfeng Zhan , Lei Wang , Bibo Tu , Yong Li , Peng Wang , Wei Zhou , Dan Meng

Storage systems are essential building blocks for cloud computing infrastructures. Although high performance storage servers are the ultimate solution for cloud storage, the implementation of inexpensive storage system remains an open…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-12-30 Julia Myint , Thinn Thu Naing

In this paper, we present a Fragmented Hybrid Cloud (FHC) that provides a unified view of multiple geographically distributed private cloud datacenters. FHC leverages a fragmented usage model in which outsourcing is bi-directional across…

Databases · Computer Science 2022-09-21 Yaser Mansouri , Faheem Ullah , Shagun Dhingra , M. Ali Babar

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Leszek Sliwko

High Performance Compute (HPC) clusters often produce intermediate files as part of code execution and message passing is not always possible to supply data to these cluster jobs. In these cases, I/O goes back to central distributed storage…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-07 Gabryel Mason-Williams , Dave Bond , Mark Basham

Cloud resource management is often modeled by two-dimensional bin packing with a set of items that correspond to tasks having fixed CPU and memory requirements. However, applications running in clouds are much more flexible: modern…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-01 Bartłomiej Przybylski , Paweł Żuk , Krzysztof Rzadca

Cloud computing has become the ubiquitous computing and storage paradigm. It is also attractive for scientists, because they do not have to care any more for their own IT infrastructure, but can outsource it to a Cloud Service Provider of…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-11 Harald Richter

In recent years, the integration of artificial intelligence (AI) and cloud computing has emerged as a promising avenue for addressing the growing computational demands of AI applications. This paper presents a comprehensive study of…

Machine Learning · Computer Science 2023-04-28 Neelesh Mungoli

Compute infrastructure hosted by a cloud provider allows an application to scale without limit. The application developer no longer needs to worry about the up-front investment in a server farm provisioned for a worst-case load scenario.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-16 Michael Howard

Cloud computing changed the way of computing as utility services offered through public network. Selecting multiple providers for various computational requirements improves performance and minimizes cost of cloud services than choosing a…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-13 Thiruselvan Subramanian , Nickolas Savarimuthu

High performance computing (HPC) and cloud have traditionally been separate, and presented in an adversarial light. The conflict arises from disparate beginnings that led to two drastically different cultures, incentive structures, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-24 Vanessa Sochat , David Fox , Daniel Milroy
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