After 600 days of development, the first official stable release of LINE 2.0.0 is out! Official website Sourceforge Github MATLAB FileExchange YouTube
Posts By: Giuliano Casale
My demo presentation of LINE 2.0.0 has won the best demo award at ICPE 2019! Here are my demo slides. It was great to see interest in the ICPE community for this tool and I hope to follow-up with colleagues to support their needs as we evolve this project.
Our RADON project has been now featured in the Imperial College news.
RADON is an upcoming new H2020 project on software engineering for serverless computing, set to start in early 2019. The consortium consists of 4 universities (Imperial, JADS, U. Stuttgart, and U. Tartu) and 4 companies (ATC, Engineering, XLAB, and Praqma). I will be serving as project coordinator. Here is an abstract for the project work plan: Emerging… Read more »
I am co-organizer of an upcoming special issue on Novel Techniques in Big Data Analytics for Management to appear in IEEE Transactions on Network and Service Management in 2019. The objective of the special issue is to attract the latest development in applications of analytics, machine learning and AI to management. Important dates: Paper submission date: November… Read more »
My paper “Analyzing replacement policies in list-based caches with non-uniform access costs” has been accepted for publication in IEEE INFOCOM 2018. The paper studies a generalised list-based cache and obtains a second-order asymptotic expansion for the miss rates of RANDOM and FIFO replacement policies.
I am pleased to join this month the IEEE TNSM editorial board as an associate editor. A lot of exciting work in cloud computing and performance engineering is now appearing in TNSM and I look forward to contribute to the selection process. Please consider submitting your work!
The paper Accelerating Performance Inference over Closed Systems by Asymptotic Methods has won the best paper award at ACM Sigmetrics’17. The paper presents novel formulas and computational algorithms for the normalizing constant of state probability of closed queueing network models. An extended abstract is available here.
The paper K. Molka, G. Casale, “Energy-efficient resource allocation and provisioning for in-memory database clusters” has won the best student paper award at IFIP/IEEE IM 2017! Congratulations to Karsten for a great job and his well-deserved achievement!
The paper “How to Supercharge the Amazon T2: Observations and Suggestions” by Jiawei Wen, Lihua Ren, Feng Yan, Daniel J. Dubois, Giuliano Casale, and Evgenia Smirni has been accepted for IEEE CLOUD 2017. The paper proposes a methodology to increase the performance benefits of T2 instances on Amazon EC2.