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This paper presents a reconfigurable parallel data flow architecture. This architecture uses the concepts of multi-agent paradigm in reconfigurable hardware systems. The utilization of this new paradigm has the potential to greatly increase…

Multiagent Systems · Computer Science 2010-03-11 Hamid Reza Naji

When we talk about databases there have always been problems concerning data synchronization. The latter is a technique for maintaining consistency among different copies of data (often called replicas). In general, there is no universal…

Databases · Computer Science 2009-12-14 Emil Vassev

With rapid advances in containerization techniques, the serverless computing model is becoming a valid candidate execution model in edge networking, similar to the widely used cloud model for applications that are stateless, single purpose…

Networking and Internet Architecture · Computer Science 2023-05-23 Mounir Bensalem , Erkan Ipek , Admela Jukan

Cloud based development is a challenging task for several software engineering projects, especially for those which needs development with reusability. Present time of cloud computing is allowing new professional models for using the…

Software Engineering · Computer Science 2012-11-01 Sukhpal Singh , Rishideep Singh

The need for high availability (HA) and disaster recovery (DR) in IT environment is more stringent than most of the other sectors of enterprises. Many businesses require the availability of business-critical applications 24 hours a day,…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-12-10 T. T. Lwin , T. Thein

The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-13 Sakshi Chhabra , Ashutosh Kumar Singh

Serverless computing offers attractive scalability, elasticity and cost-effectiveness. However, constraints on memory, CPU and function runtime have hindered its adoption for data-intensive applications and machine learning (ML) workloads.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-25 Joe Oakley , Hakan Ferhatosmanoglu

Serverless computing is increasingly being used for parallel computing, which have traditionally been implemented as stateful applications. Executing complex, burst-parallel, directed acyclic graph (DAG) jobs poses a major challenge for…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-15 Benjamin Carver , Jingyuan Zhang , Ao Wang , Ali Anwar , Panruo Wu , Yue Cheng

The rapid expansion of AI inference services in the cloud necessitates a robust scalability solution to manage dynamic workloads and maintain high performance. This study proposes a comprehensive scalability optimization framework for cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-23 Yihong Jin , Ze Yang

Cloud computing is recognized as one of the most promising solutions to information technology, e.g., for storing and sharing data in the web service which is sustained by a company or third party instead of storing data in a hard drive or…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-14 A. Roy , A. P. Misra , S. Banerjee

Modern enterprise database systems face significant challenges in balancing data security and performance. Ensuring robust encryption for sensitive information is critical for systems' compliance with security standards. Although holistic…

Cryptography and Security · Computer Science 2025-07-01 Mohamed Sami Rakha , Adam Sorrenti , Greg Stager , Walid Rjaibi , Andriy Miranskyy

We consider the problem of persistent client dropout in asynchronous Decentralized Federated Learning (DFL). Asynchronicity and decentralization obfuscate information about model updates among federation peers, making recovery from a client…

Machine Learning · Computer Science 2025-08-05 Ignacy Stępka , Nicholas Gisolfi , Kacper Trębacz , Artur Dubrawski

We unveil that internal representations in large language models (LLMs) serve as reliable proxies of learned knowledge, and propose RECALL, a novel representation-aware model merging framework for continual learning without access to…

Computation and Language · Computer Science 2025-10-24 Bowen Wang , Haiyuan Wan , Liwen Shi , Chen Yang , Peng He , Yue Ma , Haochen Han , Wenhao Li , Tiao Tan , Yongjian Li , Fangming Liu , Yifan Gong , Sheng Zhang

Within the big data tsunami, relational databases and SQL are still there and remain mandatory in most of cases for accessing data. On the one hand, SQL is easy-to-use by non specialists and allows to identify pertinent initial data at the…

Databases · Computer Science 2018-02-09 Marie Le Guilly , Jean-Marc Petit , Vasile-Marian Scuturici

This paper studies the problem of code symbol availability: a code symbol is said to have $(r, t)$-availability if it can be reconstructed from $t$ disjoint groups of other symbols, each of size at most $r$. For example, $3$-replication…

Information Theory · Computer Science 2014-02-11 Ankit Singh Rawat , Dimitris S. Papailiopoulos , Alexandros G. Dimakis , Sriram Vishwanath

Outsourcing a relational database to the cloud offers several benefits, including scalability, availability, and cost-effectiveness. However, there are concerns about the security and confidentiality of the outsourced data. A general…

Cryptography and Security · Computer Science 2023-12-20 Johannes Koppenwallner , Erich Schikuta

OS-level virtualization techniques virtualize system resources at the system call interface, has the distinct advantage of smaller run-time resource requirements as compared to HAL-level virtualization techniques, and thus forms an…

Operating Systems · Computer Science 2020-04-10 Zhiyong Shan , Xin Wang , Tzi-cker Chiueh , Rajiv Bagai

Serverless computing has gained a strong traction in the cloud computing community in recent years. Among the many benefits of this novel computing model, the rapid auto-scaling capability of user applications takes prominence. However, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-23 Anupama Mampage , Shanika Karunasekera , Rajkumar Buyya

Proliferation of systems that generate enormous amounts of data and operate in real time has led researchers to rethink the current organization of the cloud. Many proposed solutions consist of a number of small data centers in the vicinity…

Cryptography and Security · Computer Science 2024-10-29 Tamara Ranković , Miloš Simić , Milan Stojkov , Goran Sladić

Reconfigurable optical topologies are emerging as a promising technology to improve the efficiency of datacenter networks. This paper considers the problem of scheduling opportunistic links in such reconfigurable datacenters. We study the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-16 Janardhan Kulkarni , Stefan Schmid , Paweł Schmidt