The SPD experiment at the NICA collider involves not only the processing of multiple petabytes of data per year obtained from the detector, but also the production of similar amounts of data as part of the modeling of physical processes and expected signals from the front-end electronics. Because of this, the SPD experiment relies heavily on distributed computing for offline data storage and...
Status of the INP BSU grid site presented. The experience of operation, efficience, flexibility of the cloud based structure is discussed.
Managing a complex Linux-based production environment of the computing center is a highly challenging operational task. Such tasks require a high level of automation in distributed multi-component systems, which must be applied to complex operational workflows. There are several approaches to achieve this goal, including: creating operational scripts based on Linux shell commands and...
Computer administration of complex computing systems and distributed computing clusters presents significant challenges. Each sophisticated computer system has unique architecture and software configurations, it is custom-built and it is optimized for specific operational requirements and support conditions. Long-term system administration of such environments includes daily execution of...
The Jiangmen Underground Neutrino Observatory (JUNO) is a major international neutrino experiment located in Kaiping City, Guangdong Province, southern China. To support its large-scale data processing needs, JUNO has adopted a distributed computing model based on the Worldwide LHC Computing Grid (WLCG) architecture. The JUNO distributed computing infrastructure includes collaborative sites...
Federated data analysis is a technology for building distributed data analysis systems where no data is moved from their storage (collection) locations for analysis. This is a data analysis technology that defines a new level of access and transfers analysis and calculations directly to where the data is located. The World Economic Forum notes that, in fact, 97% of collected healthcare data is...
This study addresses traffic load balancing (TLB) problem in Computing Centric Network (CCN) โ an open, software-defined virtualized infrastructure that integrates distributed computing with high-speed data networks (DTN). Distributed TLB methods based on Multi-agent reinforcement learning (MARL) are quite perspective due to faster decision making and its adaptability to dynamic network...
ะ 2016 ะณะพะดั ะฝะฐ ัะฐะบัะปััะตัะต ะบะพะผะฟัััะตัะฝัั ะฝะฐัะบ ะะพัะพะฝะตะถัะบะพะณะพ ะณะพััะดะฐัััะฒะตะฝะฝะพะณะพ ัะฝะธะฒะตััะธัะตัะฐ ะฑัะป ะฒะฒะตะดัะฝ ะฒ ัะบัะฟะปัะฐัะฐัะธั ะณะธะฑัะธะดะฝัะน ะฒััะธัะปะธัะตะปัะฝัะน ะบะปะฐััะตั. ะะฝ ะพััะฐะถะฐะป ัะตะบััะธะต ัะตะฝะดะตะฝัะธะธ ะฒ ัะฐะทะฒะธัะธะธ ััะฟะตัะบะพะผะฟัััะตัะพะฒ ะธ ะฑัะป ัะพะฑัะฐะฝ ัะฐะบะธะผ ะพะฑัะฐะทะพะผ, ััะพะฑั ะฝะฐะธะฑะพะปะตะต ะฟะพะปะฝะพ ะฟัะตะดััะฐะฒะธัั ะธะผะตััะธะตัั ะฐัั ะธัะตะบัััะฝัะต ัะตัะตะฝะธั ะฒ ะพะฑะปะฐััะธ ะฟะพัััะพะตะฝะธั ะฒััะพะบะพะฟัะพะธะทะฒะพะดะธัะตะปัะฝัั ัะธััะตะผ. ะััะธัะปะธัะตะปัะฝะพะต ะฟะพะปะต ัะพััะพะธั ะธะท ะดะตัััะธ ัะทะปะพะฒ....
Desktop grid systems can be used for a wide range of combinatorial tasks. Such tasks include, among others, the construction of spectra of Latin squares. The task can be divided into many autonomous subtasks that can be performed on various nodes of a desktop grid. One of the features of the problem of constructing Latin square spectra is the different computational complexity of the subtasks....
The improvement of the server load balancer in distributed computing systems based on the BOINC platform is being considered. Such a grid system includes an application server, a database, a task scheduler, and client software installed on the nodes. The efficient operation of the scheduler determines the use of computing resources and minimizes node downtime. Simulation modeling using the...
Abstract:
This study focuses on assessing the probability of a DDoS attack using thematic networks and determining the minimum number of participants required for a successful attack. The research utilizes three analytical methods: the MVA model (Mean Value Analysis, or multi-phase queue analysis), the Logistic model, and the Boger-Sokolov model. These approaches allow for estimating...
Distributed deep learning methods can be used to solve various image analysis and processing tasks. It is quite difficult to assemble a large dataset for a certain set of tasks due to restrictions on data distribution. For such tasks, federated learning is used. The main feature of this method is the presence of local data on the nodes of the distributed computing system, which cannot be...
Introduction
With the rising prominence of Virtual Computer Laboratories (VCLs) and Learning Management Systems (LMS) such as Moodle [1โ6], educational institutions face escalating demands on technical support services Repetitive inquiries from students, instructors, and administrators, coupled with the need for swift resolution of technical issues, necessitate innovative automation...
Based on a humanitarian analysis of the key properties of complex systems, recognized as such by a number of authoritative researchers and practitioners in this area, and assumptions about the possibility of building a mathematical computer model of a complex systemโthe closure hypothesisโa formal definition of a computer model of a complex system is proposed as a species of structure in the...
ะกะพะณะปะฐัะฝะพ ะฟะปะฐะฝะฐะผ ัะฐะทะฒะธัะธั ะณัะธะด-ัะฐะนัะฐ JINR Tier-1 ะฒ 2025 ะณะพะดั ะฑัะป ะฒัะฟะพะปะฝะตะฝ ััะด ะทะฐะดะฐั ะฟะพ ะฒัะฑะพัั ะฐะฟะฟะฐัะฐัะฝะพะณะพ ะธัะฟะพะปะฝะตะฝะธั ะฝะพะฒัั ะฒััะธัะปะธัะตะปัะฝัั ัะตัะฒะตัะพะฒ, ะฟัะธะผะตะฝะตะฝั ะฝะพะฒัะต ะฟะพะดั ะพะดั ะบ ะผะพะฝะธัะพัะธะฝะณั ะบะพะผะฟะพะฝะตะฝัะพะฒ ัะตัะฒะตัะฐ, ะฒัะฟะพะปะฝะตะฝั ัะตััั ะฟัะพะธะทะฒะพะดะธัะตะปัะฝะพััะธ ะดะปั ะฟะพัะพะบะพะฒะพะน ะพะฑัะฐะฑะพัะบะธ ัะบัะฟะตัะธะผะตะฝัะฐะปัะฝัั ะดะฐะฝะฝัั ะะะ. ะ ะดะพะบะปะฐะดะต ะฟัะธะฒะพะดะธััั ะบัะฐัะบะธะน ะพะฑะทะพั ะฟัะพัะพัะธะฟะฐ ัะธััะตะผั ะผะพะฝะธัะพัะธะฝะณะฐ, ััะฐะฝะธัะตะปัะฝัะน ะฐะฝะฐะปะธะท ะฟะพะปััะตะฝะฝัั ะดะฐะฝะฝัั .
