Introducing Software Performance Antipatterns in Cloud Computing Environments
Catia Trubiani · 2015
Performance assessment of cloud-based big data applications require new methodologies and tools to take into consideration on one hand the volume, the variability and the complexity of big data, and on the other hand the intrinsic dynamism of cloud environments. To this end, we introduce software performance antipatterns as reference knowledge to capture the well-known bad design practices that lead to software products suffering by poor performance. This paper discusses some of the challenges and opportunities of research while introducing software performance antipatterns in cloud computing environments. We present a model-based framework that makes use of software performance antipatterns to improve the Quality-of-Service (QoS) objectives of cloud-based big data applications.