scholarly journals CAOS: a tool for OpenStack accounting management

2019 ◽  
Vol 214 ◽  
pp. 07006
Author(s):  
Paolo Andreetto ◽  
Fabrizio Chiarello ◽  
Sergio Traldi

The analysis and understanding of resources utilization in shared infrastructures, such as cloud environments, is crucial in order to provide better performance, administration and capacity planning. The management of resource usage of the OpenStack-based cloud infrastructures hosted at INFN-Padova, the Cloud Area Padovana and the INFN-PADOVA-STACK instance of the EGI Federated cloud, started with the deployment of Ceilometer, the OpenStack component responsible for collecting and managing accounting information. However, by using Ceilometer alone we found some limiting problems related to the way it handles information: among others, the imbalance between storage and data retention requirements, and the complexity in computing custom metrics. In this contribution we present a tool, called CAOS, which we have been implementing to overcome the aforementioned issues. CAOS collects, manages and presents the data concerning resource usage of our OpenStack-based cloud infrastructures. By gathering data from both the Ceilometer service and Open-Stack API, CAOS enables us to track resource usage at different levels (e.g. per project), in such a way that both current and past consumption ofresources can be easily determined, stored and presented.

Author(s):  
Peer Hasselmeyer ◽  
Gregory Katsaros ◽  
Bastian Koller ◽  
Philipp Wieder

The management of the entire service landscape comprising a Cloud environment is a complex and challenging venture. There, one task of utmost importance, is the generation and processing of information about the state, health, and performance of the various services and IT components, something which is generally referred to as monitoring. Such information is the foundation for proper assessment and management of the whole Cloud. This chapter pursues two objectives: first, to provide an overview of monitoring in Cloud environments and, second, to propose a solution for interoperable and vendor-independent Cloud monitoring. Along the way, the authors motivate the necessity of monitoring at the different levels of Cloud infrastructures, introduce selected state-of-the-art, and extract requirements for Cloud monitoring. Based on these requirements, the following sections depict a Cloud monitoring solution and describe current developments towards interoperable, open, and extensible Cloud monitoring frameworks.


2021 ◽  
Vol 251 ◽  
pp. 02022
Author(s):  
Paolo Andreetto ◽  
Fulvia Costa ◽  
Alberto Crescente ◽  
Sergio Fantinel ◽  
Federica Fanzago ◽  
...  

CloudVeneto is a private cloud implemented as the result of merging two existing cloud infrastructures: the INFN Cloud Area Padovana, and a private cloud owned by 10 departments of University of Padova. This infrastructure is a full production facility, in continuous growth, both in terms of users, and in terms of computing and storage resources. Even if the usage of CloudVeneto is not regulated by a strict pay-per-use model, the availability of accounting information for such infrastructure is a requirement, to detect if the resources allocated to the user communities are effciently used, and to perform an effective capacity planning. We present in this paper how the accounting system used in CloudVeneto evolved over time, focusing on the accounting framework being used now, implemented by integrating existing components.


Most of the current day applications are data and compute intensive which led to invention of technologies like Hadoop. Hadoop uses Map Reduce framework for parallel processing of big data applications using the computing resources of multiple nodes. Hadoop is designed for cluster environments and has few limitations when executed in cloud environments. Hadoop on cloud has become a common choice due to its easy establishment of infrastructure and pay as you use model. Hadoop performance on cloud infrastructures is affected by the virtualization overhead of cloud environment. The execution times of Hadoop on cloud can be improved if the virtual resources are effectively used to schedule the tasks by studying the resource usage characteristics of the tasks and resource availability of the nodes. The proposed work is to build a dynamic scheduler for Hadoop framework which can make scheduling decision dynamically based on job resource usage and node load. The results of the proposed work indicate an improvement of up to 23% in execution time of the Hadoop Map Reduce applications.


Author(s):  
Benjamin Shao ◽  
Robert D. St. Louis

Many companies are forming data analytics teams to put data to work. To enhance procurement practices, chief procurement officers (CPOs) must work effectively with data analytics teams, from hiring and training to managing and utilizing team members. This chapter presents the findings of a study on how CPOs use data analytics teams to support the procurement process. Surveys and interviews indicate companies are exhibiting different levels of maturity in using data analytics, but both the goal of CPOs (i.e., improving performance to support the business strategy) and the way to interact with data analytics teams for achieving that goal are common across companies. However, as data become more reliably available and technologies become more intelligently embedded, the best practices of organizing and managing data analytics teams for procurement will need to be constantly updated.


2011 ◽  
Vol 25 (2) ◽  
pp. 190-199 ◽  
Author(s):  
Richard Bensel

Let me begin with the bottom line: Samuel DeCanio has addressed a very important topic, skillfully crafted an argument, and marshaled an impressive body of evidence behind his thesis. The result is a significant addition to the literature on American political development on several different levels. And that is so despite the fact that I believe his interpretation extends beyond the evidence in some respects. This comment addresses both these extensions and, as a collateral objective, suggests that the way in which we reconstruct political situations and causal relationships is inevitably an art, not a science.


Author(s):  
Massimiliano Aragona

AbstractThe way somatization is expressed—including the actual somatoform symptoms experienced—varies in different persons and in different cultures. Traumatic experiences are intertwined with cultural and social values in shaping the resulting psychopathological phenomena, including bodily experiences. Four ideal-typical cases are presented to show the different levels involved. The effects of trauma, culture and values may be pathofacilitating (creating a social context which is necessary for the experience to take place), pathogenetic (taking a causal role in the onset of the psychopathological reaction), pathoplastic (shaping the form such a psychopathological reaction takes) or pathointerpretive (different interpretation of the same symptoms depending on the patient’s beliefs). While the roles of trauma and culture were already well recognized in previous accounts, this chapter adds an exploration of the importance of values, including cultural values, in the aetiology, presentation and management of somatization disorders. As a consequence, the therapeutic approach has to be adjusted depending on the way these factors intervene in the patient’s construction of mental distress.


Author(s):  
Clinton Fernandes ◽  
Vijay Sivaraman

This article examines the implications of selected aspects of the Telecommunications (Interception and Access) Amendment (Data Retention) Act 2015, which was passed by the Australian Parliament in March 2015. It shows how the new law has strengthened protections for privacy. However, focusing on the investigatory implications, it shows how the law provides a tactical advantage to investigators who pursue whistleblowers and investigative journalists. The article exposes an apparent discrepancy in the way ‘journalist’ is defined across different pieces of legislation. It argues that although legislators’ interest has been overwhelmingly focused on communications data, the explosion of data generated by the so-called Internet-of-Things (IoT) is as important or more. It shows how the sensors in selected IoT devices lead to a loss of user control and will enable non-stop, involuntary and ubiquitous monitoring of individuals. It suggests that the law will need to be amended further once legislators and investigators’ knowledge of the potential of IoT increases. 


Author(s):  
Andra Cioltan-Drăghiciu ◽  
Daniela Stanciu

The aim of this Virtual Exchange (VE) project was to bring together students from the Andrássy Gyula German speaking university (AUB) in Budapest, Hungary, and Lucian Blaga University in Sibiu (LBUS), Romania, in order for them to get to know their neighbors and reflect on the way the end of WWI is remembered 100 years later. In this case study, we discuss the way we conceived the three iterations of the VE (2018-2020), the challenges we faced on different levels, as well as the value of this teaching method for the academic field of history.


Author(s):  
Vu Quoc Thong

Identifying factors defining the effectiveness of integrated AIS in the Enterprise Resource Planning (ERP) environment is really a challenging task. In our research, the effectiveness of integrated AIS in ERP is presented in the form of a Balanced Scorecard (BSC) model. This study analyzes data collected from 178 Vietnamese garment companies with AIS in an ERP environment. Then, Cronbach’s Alpha test and exploratory factor analysis (EFA) are conducted to assess the reliability of variables. The result identifies 28 variables from Vietnamese garment companies’ managers view grouped into 4-dimensional constructs of the BSC model that define the effectiveness of integrated AIS in an ERP environment. The conclusion on garment companies’ AIS evaluation factors paves the way for future research on other Vietnamese industries’ AIS evaluation in an ERP environment.


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