Open Access
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 skillsread more
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
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
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.