Mr
Nikolai Yuzhanin
(Saint Petersburg State University)
7/7/16, 1:30 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Abstract. The article highlights the set of problems associated with automation of computing and informational support of scientific research, and offers a possible integrated solution based on the service desk system. The attention is focused on the common organizational and technical activities related to the lifecycle of scientific research, such as registration, accounting and technical...
Prof.
Vladimir Dimitrov
(University of Sofia)
7/7/16, 1:45 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Software bugs are primary security issues. Semantic templates and Software fault patterns are overviewed as tools for software bugs specification tools. Further research on the topic is discussed. Software weaknesses are described in formatted text. There is no widely accepted formal notation for that purpose. This paper shows how Z-notation can be used for formal specification of CWE-119.
Mr
Daniel Drizhuk
(NRC Kurchatov Institute)
7/7/16, 2:00 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
The Production and Distributed Analysis (PanDA) system has been developed to meet ATLAS production and analysis requirements for a data-driven workload management system capable of operating at the LHC data processing scale.
The PanDA pilot is one of the major components in the PanDA system. It runs on a worker node and takes care of setting up the environment, fetching and pushing data to...
Mr
Vladimir Gaiduchok
(Saint Petersburg Electrotechnical University "LETI", Russia)
7/7/16, 2:15 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Managing a computational cluster is a complex task which
involves many aspects from generic hardware settings to
improving the performances of a particular software application.
But the complexity of this task is sometime underestimated:
organizations just rely on a conventional approaches and systems.
As a result cluster utilization could be inefficient.
Mistakes (in terms of...
Mr
Vladimir Gaiduchok
(Saint Petersburg Electrotechnical University "LETI", Russia)
7/7/16, 2:30 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Computational centers provide users with HPC resources.
This usually includes not only hardware (e.g. powerful computational
clusters) and system software (e.g. Linux and some PBS implementation),
but also application software too.
In case of university computational center system administrators
install some scientific applications, provide users with access to it
and manage that...
Mr
Vladimir Gaiduchok
(Saint Petersburg Electrotechnical University "LETI", Russia)
7/7/16, 2:45 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Networking is known to be a "bottleneck" in scientific computations
on HPC clusters. It could become a problem that limits the scalability
of systems with a cluster architecture. And that problem is a worldwide one since clusters are used almost everywhere.
Expensive clusters usually have some custom networks.
Such systems imply expensive and powerful hardware, custom protocols,...
Mr
Victor Kotlyar
(IHEP)
7/7/16, 4:00 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Computer center at IHEP is a complex system of many technologies gathered together. Among them distributed computing, high throughput networking, high reliable uninterpretable power systems, precision cooling systems. Monitoring and control such complex is a very difficult task. Even more difficult is to create self-optimization, self-healing and self-defense systems on top of the monitoring....
Mr
Victor Kotlyar
(IHEP)
7/7/16, 4:15 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
To build a computer cluster for the Grid and distributed computing is a highly complex task. Such cluster has to seamlessly combine grid middleware and different types of the other software in one system with shared cpu, storage, network and engineering infrastructure. To be able to run effectively and be flexible for the still unknown future usage patterns many software systems must be...
123.
Security infrastructure for distributed computing systems on the basis of blockchain technology
Dr
Alexander Kryukov
(SINP MSU)
7/7/16, 4:30 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
To ensure secure access to resources of distributed computing systems (DCS) [1] with the account of rights of a given user and the service/resource policy, a security infrastructure is needed, which should be enough reliable and on the other hand not create significant difficulties for users. In the work [2], a method of user authentication, which is based on a login/password pair together...
Andrey Lebedev
(GSI, Darmstadt)
7/7/16, 4:45 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
The Dynamic Deployment System (DDS) is a tool-set that automates and significantly simplifies a deployment of user-defined processes and their dependencies on any resource management system (RMS) using a given topology.
A number of basic concepts are taken into account in DDS. Namely, DDS implements a single responsibility principle command line tool-set and APIs. The system treats users’...
