Eagle is a new hybrid data center scheduler that considerably improves the job completion times for short jobs. Eagle builds on the Hawk hybrid scheduler, using a centralized scheduler for long jobs and distributed schedulers for short jobs. The main innovation in Eagle is that it provides an approximate and potentially slightly outof-date summary of the centralized scheduler state to the distr...

This tutorial explores the design and implementation issues arising in the development of domain-specific languages for trace analysis. It introduces the audience to the general concepts underlying such special-purpose languages building upon the authors’ own experiences in developing both external domainspecific languages and systems, such as EAGLE, HAWK, RULER and LOGSCOPE, and the more recen...

We present Eagle, a new hybrid cluster scheduler for data-parallel programs, consisting of a centralized scheduler for long jobs and a set of distributed schedulers for short jobs. Eagle incorporates two new techniques: succinct state sharing and sticky batch probing. With succinct state sharing, the centralized scheduler informs the distributed schedulers of the placement of long jobs in a low...

We briefly present a rule-based framework, called EAGLE, that has been shown to be capable of defining and implementing finite trace monitoring logics, including future and past time temporal logic, extended regular expressions, real-time and metric temporal logics (MTL), interval logics, forms of quantified temporal logics, and so on. In this paper we show how EAGLE can perform linear temporal...

Farnoush Faridbod,1 Mohammad Reza Ganjali,2,* Parviz Norouzi,2 Siavash Riahi,3,2 and Hamid Rashedi4 1Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, 2Center of Excellence in electrochemistry, Faculty of Chemistry, University of Tehran, 3Institute of Petroleum Engineering, Faculty of Engineering, University of Tehran, 4Department of Chemical Engineering, Facu...