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Introduction to Performance Management.

Phillip C. Howard
- pp 305-306
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TLDR
Benefits of performance management include a better understanding of public health’s importance for employees, decision makers, and the public, and greater accountability for funding.
Abstract
BENEFITS Performance management has a number of benefits: Promotes better systems, leading to better outcomes  Results in improved performance: In a survey of state health agencies, 76 percent reported that their performance management efforts resulted in improved performance  Provides better results for the public Provides data to illustrate the importance of public health  Shifts the conversation from wasteful government spending to the value created for citizens  Provides a better understanding of public health’s importance for employees, decision makers, and the public Demonstrates greater accountability for funding Provides meaningful data and benchmarks  Establishes common standards/indicators and data, to continually measure and improve value Emphasizes quality, not just quantity Increases productive teamwork Improves problem-solving skills

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Citations
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Proceedings ArticleDOI

Computing Defects per Million in Cloud Caused by Virtual Machine Failures with Replication

TL;DR: This paper model the system behavior with a structure-state process to characterize the failure-recovery behavior of a VM in a cloud that uses one of the aforementioned replication schemes and uses a service-oriented dependability metric called Defects Per Million (DPM), defined as the number of user requests dropped out of a million.

From Measurement to Ownership: The Evolution and Organizational Implications of Modern Performance Management

Laura Wendt
TL;DR: In this article, the authors show that effective performance management has the ability to significantly enhance workforce training and development efforts; employees could increase their productivity by as much as 26% under effective management systems.
Proceedings ArticleDOI

Defects per Million (DPM) Evaluation for a Cloud Dealing with VM Failures Using Checkpointing

TL;DR: This paper uses service-oriented metrics to characterize the dependability of cloud computing systems in order to find the pitfalls and improve the service, and uses a user-perceived dependability metric called Defects Per Million (DPM), defined as the number of user requests dropped out of a million.
Book ChapterDOI

Service Reliability Enhancement in Cloud by Checkpointing and Replication

TL;DR: This chapter presents an analytical modeling approach for computing the DPM metric in different replication schemes on the basis of the checkpointing method and uses a service-oriented dependability metric called Defects Per Million (DPM), defined as the number of user requests dropped out of a million due to VM failures.
References
More filters
Proceedings ArticleDOI

Computing Defects per Million in Cloud Caused by Virtual Machine Failures with Replication

TL;DR: This paper model the system behavior with a structure-state process to characterize the failure-recovery behavior of a VM in a cloud that uses one of the aforementioned replication schemes and uses a service-oriented dependability metric called Defects Per Million (DPM), defined as the number of user requests dropped out of a million.

From Measurement to Ownership: The Evolution and Organizational Implications of Modern Performance Management

Laura Wendt
TL;DR: In this article, the authors show that effective performance management has the ability to significantly enhance workforce training and development efforts; employees could increase their productivity by as much as 26% under effective management systems.
Proceedings ArticleDOI

Defects per Million (DPM) Evaluation for a Cloud Dealing with VM Failures Using Checkpointing

TL;DR: This paper uses service-oriented metrics to characterize the dependability of cloud computing systems in order to find the pitfalls and improve the service, and uses a user-perceived dependability metric called Defects Per Million (DPM), defined as the number of user requests dropped out of a million.
Book ChapterDOI

Service Reliability Enhancement in Cloud by Checkpointing and Replication

TL;DR: This chapter presents an analytical modeling approach for computing the DPM metric in different replication schemes on the basis of the checkpointing method and uses a service-oriented dependability metric called Defects Per Million (DPM), defined as the number of user requests dropped out of a million due to VM failures.