Biography

Georgia Koutrika is Research Director at Athena Research Center in Greece, where she leads the DARELab. She has more than 15 years of experience in multiple roles at HP Labs, IBM Almaden, and Stanford. She has received a PhD and a diploma in Computer Science from the Department of Informatics and Telecommunications, University of Athens in Greece. Her work focuses on natural language data interfaces, data exploration, recommendations, and data analytics, and has been incorporated in commercial products, described in 14 granted patents and 26 patent applications in the US and worldwide, and published in more than 100 papers in top-tier conferences and journals. She is member of the VLDB Endowment Board of Trustees, co-EiC for VLDB Journal, PC co-chair for VLDB 2023, co-EiC of Proceedings of the VLDB (PVLDB). In the past, she has served or serves as associate editor for top conferences (such as ACM SIGMOD and VLDB) and journals (TKDE, VLDB Journal), as well as in various organization roles, including EDBT 2023 and ICDE 2021 sponsorship chair, and general chair for ACM SIGMOD 2016. Georgia is chair of the ACM working Group on Seasonal Schools, and member of the ACM-RAISE Working Group. She is ACM Senior Member, IEEE Senior Member, and ACM Distinguished Speaker.

Biography

Minos Garofalakis is the Director of the Information Management Systems Institute (IMSI) at the ATHENA Research Center and a Professor at the School of ECE at the Technical University of Crete (TUC). He also works as a (part-time) senior research consultant for Huawei ISR/ERC and is the Co-founder and Director of Research at Agora Labs, a startup company bringing state-of-the-art data privacy technologies to the healthcare domain. Minos received the MSc and PhD degrees from the University of Wisconsin-Madison, and previously held senior/principal researcher positions at Bell Labs (1998-2005), Intel Research Berkeley (2005-2007), and Yahoo! Research (2007-2008); in parallel, he held an Adjunct Professor position at the EECS Department of UC Berkeley (2006-2008). Between 2/2022-2/2023, he also worked as a consulting Senior Principal Scientist for Amazon Web Services (AWS). Minos’s research interests lie in the broad area of Big Data Analytics. He has published over 170 papers that have received more than 17,000 citations (h-index=70) according to Google Scholar. Minos is an ACM and IEEE Fellow, a Member of Academia Europaea, and a recipient of several awards, including the TUC “Excellence in Research” Award (2015), the Bell Labs President’s Gold Award (2004), two Best Research Paper Awards (VLDB’2024, ICDE’2009), and ten "best of" conference paper selections.

Biography

Vana Kalogeraki is the Dean of the School of Information Sciences and Technology, a Professor at the Department of Informatics and a Director of the Computer Systems and Communications Laboratory at Athens University of Economics and Business. Previously she has held positions as an Associate and Assistant Professor at the Department of Computer Science at the University of California, Riverside and as a Research Scientist at Hewlett-Packard Labs in Palo Alto, CA. She received her PhD from the University of California, Santa Barbara. Prof. Vana Kalogeraki has been working in the field of distributed and real-time systems, big data systems, stream processing systems, participatory sensing systems, peer-to-peer systems, crowdsourcing, mobility, resource management and fault-tolerance for over 25 years and has authored and co-authored over 200 papers in journals and conferences proceedings, including co-authoring the OMG CORBA Dynamic Scheduling Standard. Prof. Kalogeraki was invited to give keynote talks at CLOSER 2023, PerFoT2018, MoVid2015, DNCMS 2012, SN2AE 2012, PETRA 2011, DBISP2P 2006 and MLSN 2006 in the areas of IoT, participatory sensing systems and sensor network middleware and delivered tutorials and seminars on peer-to-peer computing. She has served as the General co-Chair of EuroSys 2024, GEC 2023, MDM 2021, SEUS 2009 and WPDRTS 2006 and as a Program co-Chair of MobiQuitous 2023, ACSOS 2021, DASFAA 2021, Middleware 2019, MDM 2017, DEBS 2016, MDM 2011, ISORC 2009, ISORC 2007, ICPS 2005, WPDRTS 2005 and DBISP2P 2003, a Tutorial Chair for IEEE ICDE 2020, ACM DEBS 2015, a Workshops Chair for IEEE SRDS 2015, a Demo Chair for IEEE MDM 2012, a Poster Chair for GEC2021, in addition to other roles such as Area Chair (IEEE ICDCS 2016, 2012) and as program committee member on over 200 conferences. She was also awarded an ERC Starting Independent Researcher Award, a Marie Curie Fellowship, three best paper awards at the 11th ACM International Conference on Distributed Event-Based Systems (DEBS 2017), 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2009) and the 9th IEEE Annual International Symposium on Applications and the Internet (SAINT 2008), a best poster award at EuroSys 2024, a best technical paper award at ACM PETRA 2018, a Best Student Paper Award at the 11th IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2011), an IBM best student paper award runner up at MDM 2014, a UC Regents Fellowship Award, UC Academic Senate Research Awards and a research award from HP Labs. She has also received an Award for Excellence in Teaching for the academic year 2018-2019 from the Department of Computer Science, Athens University of Economics and Business. Her research has been supported by an ERC Starting Independent Researcher Grant, the European Union, joint EU/Greek "Aristeia" grant, a joint EU/Greek "Thalis" grant, NSF and gifts from SUN and Nokia.

Abstract

The exponential growth of cloud computing has been a defining trend of our time, fueled by rapidly growing demands from data-intensive and machine learning workloads. Despite the end of Denard scaling, the cloud's energy demand grew more slowly than expected over the past decade due to the aggressive implementation of energy-efficiency optimizations. Unfortunately, there are few significant remaining optimization opportunities using traditional methods, and moving forward, the cloud's and AI's continued exponential growth will translate into rising energy demand, which, if left unchecked, will translate to an increasing carbon footprint.
In this talk, I will discuss recent developments in decarbonizing cloud platforms and workloads. I will discuss how AI workloads have contributed to the rising demand for cloud computing and the promise that AI holds for enhancing the sustainability of cloud platforms. I will discuss how recently proposed approaches for designing carbon-efficient systems introduce new tradeoffs in performance, cost, and energy-efficiency when reducing the carbon footprint of modern cloud applications. I will present approaches for navigating these tradeoffs and end with open research challenges in the emerging field of computational decarbonization.

Biography

Prashant Shenoy is currently a Distinguished Professor and Associate Dean in the College of Information and Computer Sciences at the University of Massachusetts Amherst. He received the B.Tech degree in Computer Science and Engineering from the Indian Institute of Technology, Bombay and the M.S and Ph.D degrees in Computer Science from the University of Texas, Austin. His research interests lie in distributed systems and networking, with a recent emphasis on cloud and sustainable computing. He has been the recipient of several best paper awards at leading conferences, including two ACM Test of Time Awards. He is a fellow of the ACM, IEEE, AAAS, and AAIA.