DDS: The Dynamic Deployment System

Лебедев, А. А.; Manafov, Anar

doi:10.1051/epjconf/201921401011

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, it has been decided to develop its own system, but using the existing application programming interface (API) to control such online tasks. Eventually, the Dynamic Deployment System (DDS) [4] has been chosen for process management, since the system is easy to deploy and provides all necessary capabilities with its API. The developed general architecture of the CIS is illustrated in figure 1.…”

Section: Purposes and General Architecture Of The Configuration Infor...mentioning

confidence: 99%

Configuration Information System for online processing and data monitoring in the NICA experiments

Alexandrov

Aleksandrov

Chebotov

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The collection, storage and processing of experimental data are an integral part of modern high-energy physics experiments. The Configuration Information System (CIS) based on the Configuration Database (ConfigDb) is an essential element of a complex of information systems developed for the NICA experiments. The CIS is used to store and provide data on the configuration of the experiment hardware and software systems when collecting data from the detectors in online mode. The ConfigDb stores both a set of various configuration parameters and descriptions of a sequence of online software tasks to be started and run during experiment sessions. The system allows loading configuration information, activating hardware setups and launching all necessary software applications with the required parameters on the specified distributed nodes. The CIS architecture mainly contains the ConfigDb and Configuration Manager, which uses the Dynamic Deployment System API for managing tasks and providing intercommunication. The manager loads configuration data from the database, starts software tasks in a described sequence and supports task process management. The client-server architecture of the CIS is presented. The client has been implemented as a Web service to manage configuration parameters by users.

show abstract

Section: Purposes and General Architecture Of The Configuration Infor...mentioning

confidence: 99%

Configuration Information System for online processing and data monitoring in the NICA experiments

Alexandrov

Aleksandrov

Chebotov

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…DDS is a tool-set that automates and significantly simplifies the deployment of user-defined processes and their dependencies on any resource management system (RMS) using a given pre-defined process topology (Graph). It implements a single responsibility principle command line tool-set and API [8]. The system treats user tasks as a black box, e.g.…”

Section: The Dynamic Deployment System (Dds)mentioning

confidence: 99%

“…That engine can be used to configure tasks at runtime. DDS also provides a lightweight API for tasks to exchange messages, so-called, custom commands (see ref [8] for the details). DDS is being used for work with different user requirements.…”

Section: The Dynamic Deployment System (Dds)mentioning

confidence: 99%

See 1 more Smart Citation

ALFA: A framework for building distributed applications

Al-Turany¹,

Rybalchenko²,

Klein³

et al. 2020

EPJ Web Conf.

Self Cite

View full text Add to dashboard Cite

The ALFA framework is a joint development between ALICE Online-Offline and FairRoot teams. ALFA has a distributed architecture, i.e. a collection of highly maintainable, testable, loosely coupled, independently deployable processes. ALFA allows the developer to focus on building singlefunction modules with well-defined interfaces and operations. The communication between the independent processes is handled by FairMQ transport layer. FairMQ offers multiple implementations of its abstract data transport interface, it integrates some popular data transport technologies like ZeroMQ and nanomsg. Furthermore it also provides shared memory and RDMA transport (based on libfabric) for high throughput, low latency applications. Moreover, FairMQ allows the single process to use multiple and different transports at the same time. FairMQ based processes can be controlled and orchestrated via different systems by implementing the corresponding plugin. However, ALFA delivers also the Dynamic Deployment System (DDS) as an independent set of utilities and interfaces, providing a dynamic distribution of different user processes on any Resource Management System (RMS) or a laptop. ALFA is already being tested and used by different experiments in different stages of data processing as it offers an easy integration of heterogeneous hardware and software.

show abstract

Development of the Online Configuration System for the BM@N Experiment

Alexandrov,

Chebotov

et al. 2024

Phys. Part. Nuclei

View full text Add to dashboard Cite

DDS: The Dynamic Deployment System

Cited by 5 publications

References 0 publications

Configuration Information System for online processing and data monitoring in the NICA experiments

Configuration Information System for online processing and data monitoring in the NICA experiments

ALFA: A framework for building distributed applications

Development of the Online Configuration System for the BM@N Experiment

Contact Info

Product

Resources

About