SOA Monitoring for Enterprise Computing Systems

Hershey, Paul; Runyon, Donald

doi:10.1109/edoc.2007.4384014

Cited by 4 publications

(4 citation statements)

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“…To meet these challenges, a comprehensive monitoring capability is required that can observe and correlate information from all relevant enterprise components, including applications, computing, network, transport, and security services. The common set of metrics terminology presented herein can serve as a critical operational enabler for monitoring and management of SOA-base applications running over complex enterprise computing systems [12]. …”

Section: Discussionmentioning

confidence: 99%

Metrics for End-to-End Monitoring and Management of Enterprise Systems

Hershey

Runyon

Wang

2007

MILCOM 2007 - IEEE Military Communications Conference

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Within an enterprise system, there exist many specific service-based metrics that apply to end-to-end monitoring and management of information. To assist network operators and service providers in understanding end user issues, it is helpful to group related service-based metrics together into larger metric categories.This paper addresses the lack of consistent and meaningful metric terminology for network operations personnel who manage enterprise systems running multiple protocols over a diverse set of multi-technology components that must implement distributed applications methodologies in a network centric (net-centric) environment. This paper establishes metrics categories into which the information collected during the monitoring activities may be grouped, and it defines and rationalizes these categories. Examples are provided to demonstrate the usefulness of this categorization for enterprise systems.

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Section: Discussionmentioning

confidence: 99%

Metrics for End-to-End Monitoring and Management of Enterprise Systems

Hershey

Runyon

Wang

2007

MILCOM 2007 - IEEE Military Communications Conference

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“…Service Monitoring system is widely used to track service behavior and to discover whether anomalies occurred in the service-oriented community [13]. The service monitoring component presented here is responsible for collecting data on the behavior and execution results of the transcoding services in runtime.…”

Section: F Service Monitoringmentioning

confidence: 99%

A QoS-Aware Job Rescheduling Mechanism for Service-Oriented Media Distribution Systems

Chen

2011

2011 IEEE 15th International Enterprise Distributed Object Computing Conference Workshops

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The past few years have seen a dramatic rise in the distribution channels available to media companies. While media companies once distributed their programming through one or two mediums, such as TV broadcasts and video tapes, the same programming is now also distributed through additional mediums such as the Internet and mobile phones. As a result, the IT systems of these companies are now required to handle both new content formats and to ensure that content is simultaneously and successfully prepared in order to meet scheduling and distribution requirements for multiple delivery pathways. This paper describes a solution that was developed to address the problem. The system presented here was implemented by the Taiwan's Public Television Service (PTS) in an effort to improve the effectiveness of daily operation in January 2010 and is currently providing complete support to the company's daily operations. Since implementation, this automated process has increase the average number of transcoding jobs completed daily from 500 to 700 -and increase of 40 percent.

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“…1 is derived by extending Hershey and Pitts' previous work on RTMT to Wi-Fi in a net-centric enterprise environment. Figure 4 presents a SErvices-based Reference Monitoring Architecture, called SERMA, for monitoring the services layers within diverse administrative domains [11][12][13]. Service areas represent the unique perspectives of organizational elements supporting the enterprise system.…”

Section: Fig 1 Problem -Wi-fi Saturation Prevents Effective and Timmentioning

confidence: 99%

Monitoring and response for real-time voice messages transmitted using wi-fi within net-centric enterprise systems

Hershey

Pitts

Shepherd

2010

2010 - Milcom 2010 Military Communications Conference

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Real-time voice communications capabilities over wireless medium, using the , have become a potential bottleneck in emerging net-centric enterprise systems used by the DoD and Federal Government agencies. Depending on the priority and precedence of a particular message, mission success may depend on achieving optimal performance with respect to transmission, reception, and interpretation of the message. This paper explores successful interpretation of Wi-Fi messages from the end user perspective as defined through the metric Quality of Experience (QoE). QoE represents the perception of quality experienced by end users of a real-time system. The specific challenge examined herein is that of communicating real-time events using Wi-Fi running within netcentric enterprise systems. In this setting, time-sensitive events may require immediate problem determination and resolution. The paper also introduces a new approach for aggregating WiFi messages across the enterprise, thereby enabling timely and effective interpretation and response to real-time events. Results for a disaster response scenario are presented that combine analysis and simulation measurements from a simulation running on the UK national supercomputing service, HECToR. The paper concludes by highlighting key benefits to the service provider's business from using this approach, such as supporting real-time information sharing over Wi-Fi within netcentric enterprise systems.This paper also provides recommendations for configuration of Wi-Fi QoS mechanisms to support priority and precedence in order to ensure timely response and mission critical communications from local to global operation centers.

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SOA Monitoring for Enterprise Computing Systems

Cited by 4 publications

References 0 publications

Metrics for End-to-End Monitoring and Management of Enterprise Systems

Metrics for End-to-End Monitoring and Management of Enterprise Systems

A QoS-Aware Job Rescheduling Mechanism for Service-Oriented Media Distribution Systems

Monitoring and response for real-time voice messages transmitted using wi-fi within net-centric enterprise systems

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