35 citations · 105 across the 6 of their papers we have counts for
6 papers · 1 filter
Software Runtime Monitoring with Adaptive Sampling Rate to Collect Representative Samples of Execution Traces
Jhonny Mertz, Ingrid Nunes
Monitoring software systems at runtime is key for understanding workloads, debugging, and self-adaptation. It typically involves collecting and storing observable software data, wh…
Tigris: a DSL and Framework for Monitoring Software Systems at Runtime
Jhonny Mertz, Ingrid Nunes
The understanding of the behavioral aspects of a software system is an essential enabler for many software engineering activities, such as adaptation. This involves collecting runt…
Understanding Application-Level Caching in Web Applications: A Comprehensive Introduction and Survey of State-of-the-Art
Jhonny Mertz, Ingrid Nunes
A new form of caching, namely application-level caching, has been recently employed in web applications to improve their performance and increase scalability. It consists of the in…
Automation of application-level caching in a seamless way
Jhonny Mertz, Ingrid Nunes
Meeting performance and scalability requirements while delivering services is a critical issue in web applications. Recently, latency and cost of Internet-based services are encour…
A Qualitative Study of Application-level Caching
Jhonny Mertz, Ingrid Nunes
Latency and cost of Internet-based services are encouraging the use of application-level caching to continue satisfying users' demands, and improve the scalability and availability…
Satisfying Increasing Performance Requirements with Caching at the Application Level
Jhonny Mertz, Ingrid Nunes, Luca Della Toffola +2
Application-level caching is a form of caching that has been increasingly adopted to satisfy performance and throughput requirements. The key idea is to store the results of a comp…