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Recently Edge Computing paradigm has gained significant popularity both in industry and academia. With its increased usage in real-life scenarios, security, privacy and integrity of data in such environments have become critical. Malicious…

Operating Systems · Computer Science 2019-10-07 Shreshth Tuli , Shikhar Tuli , Udit Jain , Rajkumar Buyya

Snapshot back-ended reduced basis methods for dynamical systems commonly rely on the singular value decomposition of a matrix whose columns are high-fidelity solution vectors. An alternative basis generation framework is developed here. The…

Numerical Analysis · Mathematics 2020-05-05 Fotios Kasolis , Markus Clemens

Modern FaaS systems perform well in the case of repeat executions when function working sets stay small. However, these platforms are less effective when applied to more complex, large-scale and dynamic workloads. In this paper, we…

Operating Systems · Computer Science 2019-10-04 James Cadden , Thomas Unger , Yara Awad , Han Dong , Orran Krieger , Jonathan Appavoo

NVM-based systems are naturally fit candidates for incorporating periodic checkpointing (or snapshotting). This increases the reliability of the system, makes it more immune to power failures, and reduces wasted work in especially an HPC…

Hardware Architecture · Computer Science 2023-01-30 Akshin Singh , Smruti R. Sarangi

We address the problem of managing historical data for large evolving information networks like social networks or citation networks, with the goal to enable temporal and evolutionary queries and analysis. We present the design and…

Databases · Computer Science 2012-07-25 Udayan Khurana , Amol Deshpande

An immediate snapshot object is a high level communication object, built on top of a read/write distributed system in which all except one processes may crash. It allows a process to write a value and obtain a set of values that represent a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-02 Carole Delporte , Hugues Fauconnier , Sergio Rajsbaum , Michel Raynal

Serverless computing has seen rapid adoption due to its high scalability and flexible, pay-as-you-go billing model. In serverless, developers structure their services as a collection of functions, sporadically invoked by various events like…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-09 Dmitrii Ustiugov , Plamen Petrov , Marios Kogias , Edouard Bugnion , Boris Grot

A distributed system consisting of a huge number of computational entities is prone to faults, because faults in a few nodes cause the entire system to fail. Consequently, fault tolerance of distributed systems is a critical issue.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-30 Junya Nakamura , Yonghwan Kim , Yoshiaki Katayama , Toshimitsu Masuzawa

In our recent research, we have developed a framework called GraphSnapShot, which has been proven an useful tool for graph learning acceleration. GraphSnapShot is a framework for fast cache, storage, retrieval and computation for graph…

Machine Learning · Computer Science 2025-01-14 Dong Liu , Roger Waleffe , Meng Jiang , Shivaram Venkataraman

Exa-scale simulations are on the horizon but almost no new design for the output has been proposed in recent years. In simulations using individual time steps, the traditional snapshots are over resolving particles/cells with large time…

Instrumentation and Methods for Astrophysics · Physics 2022-10-25 Loic Hausammann , Pedro Gonnet , Matthieu Schaller

We present BLIP3o-NEXT, a fully open-source foundation model in the BLIP3 series that advances the next frontier of native image generation. BLIP3o-NEXT unifies text-to-image generation and image editing within a single architecture,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Jiuhai Chen , Le Xue , Zhiyang Xu , Xichen Pan , Shusheng Yang , Can Qin , An Yan , Honglu Zhou , Zeyuan Chen , Lifu Huang , Tianyi Zhou , Junnan Li , Silvio Savarese , Caiming Xiong , Ran Xu

Lossless image compression is an important technique for image storage and transmission when information loss is not allowed. With the fast development of deep learning techniques, deep neural networks have been used in this field to…

Image and Video Processing · Electrical Eng. & Systems 2021-08-25 Honglei Zhang , Francesco Cricri , Hamed R. Tavakoli , Nannan Zou , Emre Aksu , Miska M. Hannuksela

In the topological study of distributed systems, the immediate snapshot is the fundamental computation block for the topological characterization of wait-free solvable tasks. However, in reality, the immediate snapshot is not available as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-21 Susumu Nishimura

Nowadays, Linux file systems have to manage millions of tiny files for different applications, and face with higher metadata operations. So how to provide such high metadata performance with such enormous number of files and large scale…

Systems and Control · Computer Science 2014-09-30 Tanmay Agrawal , Ashay Shirwadkar , Pratik Gaikar , Kushagra Verma

Investigating cybersecurity incidents requires in-depth knowledge from the analyst. Moreover, the whole process is demanding due to the vast data volumes that need to be analyzed. While various techniques exist nowadays to help with…

Human-Computer Interaction · Computer Science 2021-03-08 Michal Beran , Frantisek Hrdina , Daniel Kouril , Radek Oslejsek , Kristina Zakopcanova

In contrast to the common habit of taking full bitwise copies of storage devices before analysis, selective imaging promises to alleviate the problems created by the increasing capacity of storage devices. Imaging is selective if only…

Other Computer Science · Computer Science 2020-12-07 Fabian Faust , Aurélien Thierry , Tilo Müller , Felix Freiling

Modern parallel filesystems such as Lustre are designed to provide high, scalable I/O bandwidth in response to growing I/O requirements; however, the bursty I/O characteristics of many data-intensive scientific applications make it…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-08 Teng Wang , Sarp Oral , Michael Pritchard , Kevin Vasko , Weikuan Yu

We focus on the problem of checkpointing (or taking a snapshot) in fully replicated eventually consistent distributed databases. In particular, we consider the problem of taking Distributed Transaction-Consistent Snapshots (DTCS). A typical…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-19 Raaghav Ravishankar , Sandeep Kulkarni , Nitin H Vaidya

Crash consistency using persistent memory programming libraries requires programmers to use complex transactions and manual annotations. In contrast, the failure-atomic msync() (FAMS) interface is much simpler as it transparently tracks…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-26 Suyash Mahar , Mingyao Shen , Terence Kelly , Steven Swanson

Look-Up Table based methods have emerged as a promising direction for efficient image restoration tasks. Recent LUT-based methods focus on improving their performance by expanding the receptive field. However, they inevitably introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Xiaolong Zeng , Yitong Yu , Shiyao Xiong , Jinhua Hao , Ming Sun , Chao Zhou , Bin Wang
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