Nowadays, weblogs or blogs are important tools for personal or workgroup websites publication. These tools give the necessary performances to create, edit, evaluate, publish and file digital contents, in the framework of a standarized workflow, and for managing the digital information life cycle. Nevertheless, these tools must be complemented with existence of technical funcionalities necessary...

A central decision-maker, the principal, employs performance evaluation criteria consistent with an organization’s overall goal/s to measure the effectiveness of the agents who execute decisions and implement strategies within a specified period. The dataset of performance criteria spanning the performance space will change over time to reflect the principal’s strategic modifications. This pape...

Synthetic disk request traces are convenient and popular workloads for performance evaluation of storage subsystem designs and implementations. This paper develops an approach for validating synthetic disk request generators. Using this approach, commonly-used simplifying assumptions about workload characteristics (e.g., uniformly-distributed starting addresses and Poisson arrivals) are shown t...

For the slotted ALOHA protocol in a mobile radio environment, a retransmission control scheme is proposed, and a rigorous analysis is developed to prove the stability of the resulting system. This analysis is shown to apply to virtually any model for the spatial distribution of the users. It is also shown that the use of retransmission control is unavoidable if the network performance predicted...

Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs. In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its lin...

Benchmarking and performance evaluation of high performance computing are a continuously on-going process that consumes significant staff time and generates large amounts of data to be stored and analyzed. The goal of this work is to propose an automated method to generate, capture and analyze an extensive performance profile. Although our initial efforts focus on commodity clusters, they are a...

Data envelopment analysis (DEA) is a technique for performance evaluation of peer decision making units (DMUs). The network DEA models study the internal structures of DMUs. Using two-stage network structures as an example, the current paper examines additive efficiency decomposition where the overall efficiency is defined as a weighted average of stage efficiencies and the weights are used to ...

A two-stage data envelopment analysis (DEA) model is created to provide valuable managerial insights when assessing the dual impacts of operating and business strategies for the Canadian life and health (L&H) insurance industry. This new model allows integration of the production performance and investment performance for the insurance companies and provides management overall performance evalu...

The mutual fund industry has experienced huge growth internationally, becoming one of the primary vehicles through which individuals and most institutions invest in capital markets. Thus, the evaluation of the performance of mutual funds has become a very interesting research topic both for academic researchers for managers of financial, banking and investment institutions. This paper proposes ...

In this paper, we are interested in the label ranking problem. We are more specifically interested in the recent trend consisting in predicting partial but more accurate (i.e., making less incorrect statements) orders rather than complete ones. To do so, we propose a ranking method based on pairwise imprecise scores obtained from likelihood functions. We discuss how such imprecise scores can be...