Network management and performance monitoring using Software Defined Networks

2014 ◽  
Author(s):  
Veena S ◽  
Ram P. Rustagi ◽  
K.N.B. Murthy
Keyword(s):  
Network Management ◽  
Performance Monitoring ◽  
Software Defined Networks ◽  
And Performance

Social Technology: A Compendium of Short Cases

2015 ◽  
Vol 31 (4) ◽  
pp. 417-430
Author(s):  
Brett Considine ◽  
John Peter Krahel ◽  
Margarita M. Lenk ◽  
Diane J. Janvrin
Keyword(s):  
Financial Reporting ◽  
Internal Control ◽  
Technology Use ◽  
Performance Monitoring ◽  
Regulatory Compliance ◽  
Social Technology ◽  
Student Groups ◽  
Accounting Information Systems ◽  
And Performance ◽  
Technology Strategies

ABSTRACT Seven short cases highlight the need for organizational control of the use of social technology. Executives now consider the management of social technology strategies and risks to be their fourth highest priority, investing significant resources to develop effective social technology use policies (Carrick et al. 2013; Deloitte 2012; Feltham and Nichol 2012). Moreover, organizations vary their social technology investment choices depending on their objectives and their target audiences (AICPA 2013; Gallaugher and Ransbotham 2010; Kaplan and Haenlein 2010). A wide variety of case learning objectives involve applying internal control models, and developing and justifying opinions about how social technology uses and abuses affect operational, financial reporting and regulatory compliance objectives, risks, controls, and performance-monitoring activities. Instructors may utilize one or more of these cases at a time, either individually or in student groups, and in undergraduate or graduate financial accounting, accounting information systems, governance, or auditing courses.

Programmable Integrated Photonics

2020 ◽  
Author(s):  
José Capmany ◽  
Daniel Pérez
Keyword(s):  
Integrated Circuit ◽  
Performance Monitoring ◽  
Low Cost ◽  
Limiting Factors ◽  
External Control ◽  
Integrated Photonics ◽  
New Paradigm ◽  
Photonic Integrated Circuit ◽  
And Performance ◽  
Application Fields

Programmable Integrated Photonics (PIP) is a new paradigm that aims at designing common integrated optical hardware configurations, which by suitable programming can implement a variety of functionalities that, in turn, can be exploited as basic operations in many application fields. Programmability enables by means of external control signals both chip reconfiguration for multifunction operation as well as chip stabilization against non-ideal operation due to fluctuations in environmental conditions and fabrication errors. Programming also allows activating parts of the chip, which are not essential for the implementation of a given functionality but can be of help in reducing noise levels through the diversion of undesired reflections. After some years where the Application Specific Photonic Integrated Circuit (ASPIC) paradigm has completely dominated the field of integrated optics, there is an increasing interest in PIP justified by the surge of a number of emerging applications that are and will be calling for true flexibility, reconfigurability as well as low-cost, compact and low-power consuming devices. This book aims to provide a comprehensive introduction to this emergent field covering aspects that range from the basic aspects of technologies and building photonic component blocks to the design alternatives and principles of complex programmable photonics circuits, their limiting factors, techniques for characterization and performance monitoring/control and their salient applications both in the classical as well as in the quantum information fields. The book concentrates and focuses mainly on the distinctive features of programmable photonics as compared to more traditional ASPIC approaches.

Remote Thermal Performance Monitoring and Diagnostics: Turning Data Into Knowledge

2013 ◽  
Author(s):  
Xiaomo Jiang ◽  
Craig Foster
Keyword(s):  
Anomaly Detection ◽  
Gas Turbines ◽  
Performance Monitoring ◽  
Combined Cycle ◽  
Integrated System ◽  
Site Specific ◽  
Performance Improvements ◽  
Maintenance Schedule ◽  
Effectiveness Monitoring ◽  
And Performance

Gas turbine simple or combined cycle plants are built and operated with higher availability, reliability, and performance in order to provide the customer with sufficient operating revenues and reduced fuel costs meanwhile enhancing customer dispatch competitiveness. A tremendous amount of operational data is usually collected from the everyday operation of a power plant. It has become an increasingly important but challenging issue about how to turn this data into knowledge and further solutions via developing advanced state-of-the-art analytics. This paper presents an integrated system and methodology to pursue this purpose by automating multi-level, multi-paradigm, multi-facet performance monitoring and anomaly detection for heavy duty gas turbines. The system provides an intelligent platform to drive site-specific performance improvements, mitigate outage risk, rationalize operational pattern, and enhance maintenance schedule and service offerings via taking appropriate proactive actions. In addition, the paper also presents the components in the system, including data sensing, hardware, and operational anomaly detection, expertise proactive act of company, site specific degradation assessment, and water wash effectiveness monitoring and analytics. As demonstrated in two examples, this remote performance monitoring aims to improve equipment efficiency by converting data into knowledge and solutions in order to drive value for customers including lowering operating fuel cost and increasing customer power sales and life cycle value.

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