LIKWID Monitoring Stack: A flexible framework enabling job specific performance monitoring for the masses

System monitoring is an established tool to measure the utilization and health of HPC systems. Usually system monitoring infrastructures make no connection to job information and do not utilize hardware performance monitoring (HPM) data. To increase the efficient use of HPC systems automatic and continuous performance monitoring of jobs is an essential component. It can help to identify pathological cases, provides instant performance feedback to the users, offers initial data to judge on the optimization potential of applications and helps to build a statistical foundation about application specific system usage. The LIKWID monitoring stack is a modular framework build on top of the LIKWID tools library. It aims on enabling job specific performance monitoring using HPM data, system metrics and application-level data for small to medium sized commodity clusters. Moreover, it is designed to integrate in existing monitoring infrastructures to speed up the change from pure system monitoring to job-aware monitoring.Comment: 4 pages, 4 figures. Accepted for HPCMASPA 2017, the Workshop on Monitoring and Analysis for High Performance Computing Systems Plus Applications, held in conjunction with IEEE Cluster 2017, Honolulu, HI, September 5, 201

ScALPEL: A Scalable Adaptive Lightweight Performance Evaluation Library for application performance monitoring

As supercomputers continue to grow in scale and capabilities, it is becoming increasingly difficult to isolate processor and system level causes of performance degradation. Over the last several years, a significant number of performance analysis and monitoring tools have been built/proposed. However, these tools suffer from several important shortcomings, particularly in distributed environments. In this paper we present ScALPEL, a Scalable Adaptive Lightweight Performance Evaluation Library for application performance monitoring at the functional level. Our approach provides several distinct advantages. First, ScALPEL is portable across a wide variety of architectures, and its ability to selectively monitor functions presents low run-time overhead, enabling its use for large-scale production applications. Second, it is run-time configurable, enabling both dynamic selection of functions to profile as well as events of interest on a per function basis. Third, our approach is transparent in that it requires no source code modifications. Finally, ScALPEL is implemented as a pluggable unit by reusing existing performance monitoring frameworks such as Perfmon and PAPI and extending them to support both sequential and MPI applications.Comment: 10 pages, 4 figures, 2 table

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

EFFECTIVE COST ANALYSIS TOOLS OF THE ACTIVITY-BASED COSTING (ABC) METHOD

This article focuses on cost analysis and specific tools of Activity-Based Costing(ABC) method. After presenting the main categories of operating costs of ABC method it isswitching to presenting the most important tools for monitoring and measuring performance, suchas the dashboard, balanced scorecard, benchmarking etc. Components and benefits and thepresentation of these situations are highlighted. The article ends with the conclusions of authorsabout analysis of these instruments also the advantages of them, the authors advocating the use ofthese types, since they represent advanced cases of analysis of performance derived from an assetthat unit would be successfully applied in Romania.dashboard, balanced scorecard, benchmarking, Activity-Based Costing, performance.

Invisible Wounds: The Impact of Six Years of War on the Mental Health of Syria's Children

The TDR Results Report illustrates progress made against the 23 key performance indicators that are part of the monitoring and evaluation matrix, in line with the current Performance Assessment Framework.The report shows progress made on various performance indicators related to three overarching categories related to not only on what is done (technical expected results), but also on how it is done (application of organizational core values and managerial performance).The report notes a high implementation rate, numerous new health tools that are being used in critical areas, and an expanded education and training programme, particularly focused on researchers in disease endemic countries. It provides summaries of activities to increase equity, such as increasing opportunities for women. The report includes a series of lessons learnt that have further improved the Programme's managerial effectiveness