383,436 research outputs found
Monitoring in a grid cluster
The monitoring of a grid cluster (or of any piece of reasonably scaled IT infrastructure) is a key element in the robust and consistent running of that site. There are several factors which are important to the selection of a useful monitoring framework, which include ease of use, reliability, data input and output. It is critical that data can be drawn from different instrumentation packages and collected in the framework to allow for a uniform view of the running of a site. It is also very useful to allow different views and transformations of this data to allow its manipulation for different purposes, perhaps unknown at the initial time of installation. In this context, we present the findings of an investigation of the Graphite monitoring framework and its use at the ScotGrid Glasgow site. In particular, we examine the messaging system used by the framework and means to extract data from different tools, including the existing framework Ganglia which is in use at many sites, in addition to adapting and parsing data streams from external monitoring frameworks and websites
Railway track condition assessment at network level by frequency domain analysis of GPR data
The railway track system is a crucial infrastructure for the transportation of people and goods in modern societies. With the increase in railway traffic, the availability of the track for monitoring and maintenance purposes is becoming significantly reduced. Therefore, continuous non-destructive monitoring tools for track diagnoses take on even greater importance. In this context, Ground Penetrating Radar (GPR) technique results yield valuable information on track condition, mainly in the identification of the degradation of its physical and mechanical characteristics caused by subsurface malfunctions. Nevertheless, the application of GPR to assess the ballast condition is a challenging task because the material electromagnetic properties are sensitive to both the ballast grading and water content. This work presents a novel approach, fast and practical for surveying and analysing long sections of transport infrastructure, based mainly on expedite frequency domain analysis of the GPR signal. Examples are presented with the identification of track events, ballast interventions and potential locations of malfunctions. The approach, developed to identify changes in the track infrastructure, allows for a user-friendly visualisation of the track condition, even for GPR non-professionals such as railways engineers, and may further be used to correlate with track geometric parameters. It aims to automatically detect sudden variations in the GPR signals, obtained with successive surveys over long stretches of railway lines, thus providing valuable information in asset management activities of infrastructure managers
C2MS: Dynamic Monitoring and Management of Cloud Infrastructures
Server clustering is a common design principle employed by many organisations
who require high availability, scalability and easier management of their
infrastructure. Servers are typically clustered according to the service they
provide whether it be the application(s) installed, the role of the server or
server accessibility for example. In order to optimize performance, manage load
and maintain availability, servers may migrate from one cluster group to
another making it difficult for server monitoring tools to continuously monitor
these dynamically changing groups. Server monitoring tools are usually
statically configured and with any change of group membership requires manual
reconfiguration; an unreasonable task to undertake on large-scale cloud
infrastructures.
In this paper we present the Cloudlet Control and Management System (C2MS); a
system for monitoring and controlling dynamic groups of physical or virtual
servers within cloud infrastructures. The C2MS extends Ganglia - an open source
scalable system performance monitoring tool - by allowing system administrators
to define, monitor and modify server groups without the need for server
reconfiguration. In turn administrators can easily monitor group and individual
server metrics on large-scale dynamic cloud infrastructures where roles of
servers may change frequently. Furthermore, we complement group monitoring with
a control element allowing administrator-specified actions to be performed over
servers within service groups as well as introduce further customized
monitoring metrics. This paper outlines the design, implementation and
evaluation of the C2MS.Comment: Proceedings of the The 5th IEEE International Conference on Cloud
Computing Technology and Science (CloudCom 2013), 8 page
Development of Grid e-Infrastructure in South-Eastern Europe
Over the period of 6 years and three phases, the SEE-GRID programme has
established a strong regional human network in the area of distributed
scientific computing and has set up a powerful regional Grid infrastructure. It
attracted a number of user communities and applications from diverse fields
from countries throughout the South-Eastern Europe. From the infrastructure
point view, the first project phase has established a pilot Grid infrastructure
with more than 20 resource centers in 11 countries. During the subsequent two
phases of the project, the infrastructure has grown to currently 55 resource
centers with more than 6600 CPUs and 750 TBs of disk storage, distributed in 16
participating countries. Inclusion of new resource centers to the existing
infrastructure, as well as a support to new user communities, has demanded
setup of regionally distributed core services, development of new monitoring
and operational tools, and close collaboration of all partner institution in
managing such a complex infrastructure. In this paper we give an overview of
the development and current status of SEE-GRID regional infrastructure and
describe its transition to the NGI-based Grid model in EGI, with the strong SEE
regional collaboration.Comment: 22 pages, 12 figures, 4 table
Event monitoring in a small and business enterprise
This paper presents an overview of the role and responsibilities of the system administrator, focusing on the need to monitor its technological infrastructure. The informatics infrastructure monitoring is, nowadays without a doubt, one of the main key points in business support. Large enterprises are no longer the only ones to feel the need to use these monitoring tools, but small and medium-sized enterprises, which also have IT environments of an increasing complexity, feel such a need. This results directly from the operation of how the business is supported on IT platforms as support for people and processes. When a system, which is vital to the organization, fails either at the hardware or software level, compromises the operating capacity and consequently the business continuity. Having this always in mind, it is extremely important to adopt monitoring systems that proactively or reactively, reduce the overall time of breaks caused by failures. A monitoring system is the way to ensure confidence in all components and the operational readiness of IT infrastructure
Interoperability in monitoring and reporting systems
Monitoring and Reporting are an integral part of IT infrastructure. Lack of single tool that covers all the need for monitoring in an organization has led to uses of different kinds of monitoring tools within an organization. Existence of diverse monitoring tools
has led to significant heterogeneity in an infrastructure between the tools and the data they measure.The monitoring tools generally differs in the data structures and interaction interfaces that they implement. One of the key issue in todays monitoring scenario is the interoperability between several monitoring system and the heterogeneous data they produce.
In this thesis some of the current monitoring problems that arises due to diversity in monitoring tools are briefly discussed. It also discusses how a standard common data model can benefit the interoperability between the tools. The implementation of simple
proof of concept integration between selected monitoring tools is also explored. The results of implementation indicates the benefits of information interchange between the tools for solving many problems or difficulties that are discussed. The thesis also addresses some challenges in data integration between different tools
Infrastructure as Code for Security Automation and Network Infrastructure Monitoring
The Corona Virus (COVID-19) pandemic that has spread throughout the world has created a new work culture, namely working remotely by utilizing existing technology. This has the effect of increasing crime and cyber attacks as more and more devices are connected to the internet for work. Therefore, the priority on security and monitoring of network infrastructure should be increased. The security and monitoring of this infrastructure requires an administrator in its management and configuration. One administrator can manage multiple infrastructures, making the task more difficult and time-consuming. This research implements infrastructure as code for security automation and network infrastructure monitoring including IDS, honeypot, and SIEM. Automation is done using ansible tools to create virtual machines to security configuration and monitoring of network infrastructure automatically. The results obtained are automation processes and blackbox testing is carried out and validation is carried out using a User Acceptance Test to the computer apparatus of the IT Poltek SSN Unit to prove the ease of the automation carried out. Based on the results of the UAT, a score of 154 was obtained in the Agree area with an acceptance rate of 81.05% for the implementation of infrastructure as code for the automation carried ou
Π£ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΡΡ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΡΠ΅ΠΌ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ
While analysing the problem of increasing reliability and safety of the rail transportation process, it is shown that modern train traffic control systems do not automatically consider the events of decrease in reliability of railway infrastructure facilities; however, such a linkage is quite possible. The proposed architecture of a promising train traffic control system can be based on railway automation and remote-control (telemechanics) systems, which have a safe information interface with the means of continuous monitoring of railway infrastructure facilities.The objective of the article is to present theoretical principles of managing reliability and safety of the transportation process using Β«new generationΒ» automation systems, closely integrated with technical monitoring tools. A demonstrated simplified structure of the train traffic control system has an information interface with the means of continuous monitoring of railway infrastructure facilities. The developed reliability models of the train traffic control system consider the state of railway infrastructure facilities. It is shown that it is necessary to consider the safe state of the infrastructure system in the train traffic control system. Possibilities of managing the risks of reduced reliability and safety of the transportation process are shown using stationary monitoring tools for railway infrastructure facilities. The improvement of monitoring technology and the effective use of stationary monitoring systems makes it practically possible to implement the function of managing reliability and safety of the transportation process and the entire railway complex.ΠΠ½Π°Π»ΠΈΠ·ΠΈΡΡΠ΅ΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π½Π° ΠΆΠ΅Π»Π΅Π·Π½ΡΡ
Π΄ΠΎΡΠΎΠ³Π°Ρ
. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ΅Π·Π΄ΠΎΠ² Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈ Π½Π΅ ΡΡΠΈΡΡΠ²Π°ΡΡ ΡΠΎΠ±ΡΡΠΈΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ, ΠΎΠ΄Π½Π°ΠΊΠΎ ΡΠ°ΠΊΠ°Ρ ΡΠ²ΡΠ·ΠΊΠ° Π²ΠΏΠΎΠ»Π½Π΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Π°. ΠΡΠΈΠ²ΠΎΠ΄ΠΈΡΡΡ Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΡΡΠ° ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ΅Π·Π΄ΠΎΠ², Π² ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΎΡΠ½ΠΎΠ²Π°ΠΌΠΈ Π²ΡΡΡΡΠΏΠ°ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠΊΠΈ ΠΈ ΡΠ΅Π»Π΅ΠΌΠ΅Ρ
Π°Π½ΠΈΠΊΠΈ, ΠΈΠΌΠ΅ΡΡΠΈΠ΅ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΡΠΎΠΏΡΡΠΆΠ΅Π½ΠΈΠ΅ ΡΠΎ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ.Π¦Π΅Π»ΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΡΡ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΡΠ΅ΠΌ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ Β«Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡΒ» β ΡΠ΅ΡΠ½ΠΎ ΠΈΠ½ΡΠ΅Π³ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Ρ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π°. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π° ΡΠΏΡΠΎΡΡΠ½Π½Π°Ρ ΡΡΡΡΠΊΡΡΡΠ° ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ΅Π·Π΄ΠΎΠ², ΠΈΠΌΠ΅ΡΡΠ΅ΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΡΠΎΠΏΡΡΠΆΠ΅Π½ΠΈΠ΅ ΡΠΎ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ΅Π·Π΄ΠΎΠ², ΡΡΠΈΡΡΠ²Π°ΡΡΠ΅ΠΉ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ.ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ΅Π·Π΄ΠΎΠ² Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ Π½Π°Π»ΠΈΡΠΈΠ΅ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ°. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΡΠΊΠ°ΠΌΠΈ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π·Π° ΡΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ΅Π΄ΡΡΠ² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ.Π‘ΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ ΡΡΠ½ΠΊΡΠΈΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΡΡ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΈ ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠ΄ΠΎΡΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° Π² ΡΠ΅Π»ΠΎΠΌ
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