K. K. Ramakrishnan is Professor of Computer Science and Engineering at the University of California, Riverside. Previously, he was a Distinguished Member of Technical Staff at AT&T Labs-Research. He joined AT&T Bell Labs in 1994 and was with AT&T Labs-Research since its inception in 1996. Prior to 1994, he was a Technical Director and Consulting Engineer in Networking at Digital Equipment Corporation. Between 2000 and 2002, he was at TeraOptic Networks, Inc., as Founder and Vice-President.
Dr. Ramakrishnan is an ACM Fellow, IEEE Fellow and an AT&T Fellow, recognized for his fundamental contributions on communication networks, congestion control, traffic management, VPN services, and a lasting impact on AT&T and the industry. His work on the “DECbit” congestion avoidance protocol received the ACM Sigcomm Test of Time Paper Award in 2006. He has published over 250 papers and has 172 patents issued in his name. K.K. has been on the editorial board of several journals and has served as the TPC Chair and General Chair for several networking conferences. K. K. received his MTech from the Indian Institute of Science (1978), MS (1981) and Ph.D. (1983) in Computer Science from the University of Maryland, College Park, USA.
Eric Rozner is currently a Software Engineer at Meta and an Assistant Professor at the University of Colorado Boulder. Eric obtained his BS from the University of Wisconsin-Madison and his PhD from the University of Texas at Austin in 2011. After graduation, Eric worked as a Senior Member of the Technical Staff - Research at AT&T Labs Research in Florham Park, NJ for one and a half years. From 2013 to 2018, Eric was a Master Inventor and Research Staff Member at IBM Research in Austin, TX. Eric’s interests are broadly defined in the areas of systems and networking, but he has specific interests in wireless networking, networking management, software-defined networking, datacenter networking, cloud computing, and mobile and pervasive computing. He regularly publishes technical documents in esteemed international conferences, with prior papers in conferences such as SIGCOMM, NSDI, MobiCom, MobiSys, SIGMETRICS, IMC, CHI, and CoNEXT. In addition, Eric publishes in workshops and journals, has authored many patents, regularly serves on technical program committees, and is currently on the Steering Committee of the ACM SIGCOMM Symposium on SDN Research (SOSR).
With the widespread popularity of Amazon AWS Lambda, Google Cloud Function, Microsoft Azure Functions, etc., Serverless Computing has gained significant impetus in recent times because of its simplicity. It is the next generation cloud service delivery paradigm and is also known as Function as a Service (FaaS). Almost all big players in the cloud have successfully launched commercially usable serverless computing platforms, although there are many open challenges in terms of their scalability and applicability for widespread deployments. These challenges are many-fold, starting from developing light-weight sandboxing platforms for FaaS supports, deciding optimal deployment strategies for function deployments, increasing the consolidation ratio of the functions, development of economic models for end-users as well as cloud service providers for their individual profit maximization, and so on. Given that majority of the cloud service providers now support serverless computing and direct function execution over the cloud platforms, a thorough investigation of the support systems is necessary through cutting-edge researches in this field.
This workshop aims to provide a forum for researchers and practitioners to exchange innovative ideas, latest research findings, practical experiences, lessons learned, and future directions to propel the research on serverless computing.
In addition to research papers STEERS also invites submission in the following three categories:
The conference invites submissions of Challenge papers that present revolutionary new ideas that challenge existing assumptions prevalent among the serverless community and cloud community in general. These "challenge papers" should provide stimulating ideas that may open up exciting avenues and/or influence the direction of future serverless research. Exhaustive evaluation of the proposed ideas is not necessary in tis category, instead insight and in-depth understanding of the issues is expected. Challenge papers should be submitted using the same submission procedure adopted for the regular papers. Accepted Challenge papers will also be included in the proceedings. The title of these papers must bear a "Challenge:" prefix.
The conference invites submission of Experience papers that present the details and insights from real-life testbeds and/or large scale experimental platforms around the research topics mentioned above. Such papers should provide detailed insights into (1) building the testbeds/platforms, (2) lessons that are impractical in a research setup, and (3) implications for further research in the relevant domain. Experience papers shall follow the same submission process as the regular papers with an “Experience:” prefix in the title. Accepted Experience papers will also be included in the proceedings.
The conference invites submission of Verification papers that seek to validate and/or characterize recent results in serverless computing methodologies. The goal of these papers are to thoroughly characterize the parameters under which previously published results can be reproduced. Verification papers shall follow the same submission process as the regular papers with an “Verification:” prefix in the title. Accepted Verification papers will also be included in the proceedings.
We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. Submitted papers should be no longer than 8 pages (including references and appendices) in two-column IEEE template format.
Papers need to be submitted through Easychair submission portal https://easychair.org/conferences/?conf=steers2022.
All accepted papers will be published as part of the CCGRID proceedings. All previous CCGRID proceedings have been published by the IEEE and available online through IEEE Digital Library (EI indexing).