## 1 Introduction  
To be applicable to real-world networks, the evaluation of network measurement tools requires the conditions of the test network to be as similar as possible to the networks in which they are later deployed. This similarity is essential for ensuring the tools are reliable, accurate, and practical in real-world usage scenarios [1, 2, 3]. Consequently, there is a growing interest among researchers in developing and utilizing test networks that allow for the reconfiguration of specific characteristics and features to simulate real-world conditions. These adaptable test networks enable controlled experimentation by providing the flexibility to emulate various operational scenarios, including routine traffic patterns and extreme edge cases. This capacity to dynamically adjust network parameters ensuresa thorough assessment of the measurement tools' effectiveness and robustness, offering valuable insights that enhance their deployment readiness [4]. A broad survey in the field of network measurement research reveals a special interest in the real-world conditions of two categories of network characteristics: Those related to traffic control and those related to topology control. The first category of real-world conditions affects the network traffic traversing a link. Examples in that category range from causing artificial queuing delays, packet losses, duplications, corruptions, and re-orderings to setting up traffic shapers or network components working with non-FIFO queuing disciplines [5; 6; 7]. The second category, focusing on topology control, encompasses conditions such as switching between ad hoc and infrastructure modes of wireless cards, introducing multiple bottlenecks by reducing interface speeds, and inducing packet anomalies through multipath diversities, route alternations, or asymmetric links. Some detailed survey studies on how such real-world conditions and topologies are used by network measurement tools are presented in [8; 9; 10]. The scientific goal of this study is to design, develop, and validate a test environment that enables researchers to evaluate the performance of network measurement tools under configurable challenges and real-world Internet conditions. This environment uses the Control and Management Framework (OMF) [11] to manage and control measurement experiments, facilitating the deployment, monitoring, and testing of protocols, tools, and applications across diverse and reconfigurable scenarios. The proposed OMF-enabled test environment is designed and implemented with two key considerations for network measurement research. First, the test environment must offer comprehensive management tools that enable researchers to reconfigure various characteristics and features. These tools, combined with standard measurement utilities such as cross-traffic generators, passive packet analyzers, and benchmarking tools, allow researchers to simulate realistic conditions and topology changes. This flexibility supports the creation of detailed and customizable testbed setups and scenarios. Second, effective network experiments require well-defined testbed configurations. Our survey highlights common setups used in measurement experiments, encompassing both wired and wireless communications with diverse cross-traffic scenarios. By integrating these setups into the OMF framework through provided scripts, the test environment significantly reduces the effort required to perform typical network measurement experiments. This study addresses these gaps by developing a configurable OMF-enabled test environment that facilitates the deployment, execution, monitoring, and experimentation of network measurement tools, protocols, and applications. The key contributions of this paper are as follows:  
* The design and development of a configurable test environment for conducting network measurement experiments are proposed.