SCDM 2021 : Scalable Cloud Data Management Workshop

Event Dates

Dec 15, 2021 - Dec 18, 2021

Location

Remote (orig. Orlando, FL/USA)

Submission Deadline

Nov 03, 2021

Due to numerous requests, we extended the deadline.

EXTENDED SUBMISSION DEADLINE

Nov 03, 2021

CALL FOR PAPERS

Scalable Cloud Data Management Workshop 2021

in conjunction with the IEEE Big Data 2021 in Orlando, Florida, USA

(now taking place virtually)

Workshop Website: https://scdm.cloud

WORKSHOP

The 10th Workshop on Scalable Cloud Data Management in conjunction

with the IEEE International Conference on Big Data 2021 and tackles

the manifold new topics in the area of cloud data management. The

workshop is focused on new research challenges for scalable databases

and data processing in the context of cloud computing. SCDM 2020 was

successfully held in conjunction with the IEEE BigData 2020.

MOTIVATION

The increasing adoption of cloud computing for databases and data

services introduces a variety of new research challenges. To leverage

elastic cloud resources, scalability has to be a fundamental

architectural design trait of these new cloud databases. This

challenge has manifested itself in new data models (“NoSQL”),

replication, caching and partitioning schemes, relaxed consistency

and transaction guarantees, as well as new protocols, APIs, and

storage services. This workshop invites submissions about new

technologies enabling databases for cloud environments and offering

them as services (Database-as-a-Service). We solicit research on

novel database designs and their distribution and storage mechanisms

as well as scalable data and data processing services. The

application side of cloud databases is equally important, as real

use cases might motivate new programming models, APIs, and

web-enabled interfaces. We are convinced that bringing together cloud

computing, service design, and data architectures in this workshop

will contribute to this exciting new field.

TOPICS OF INTEREST

The topics of this workshop include, but are not limited to:

– Database-as-a-Service, Backend-as-a-Service, Multi-Tenancy

– Machine Leaning Methods for Data Management

– Elasticity and Scalability for Cloud Data Management Systems

– New Protocols, Service Interfaces & Data Models for Cloud Databases

– Techniques for Efficient Content Compression, Transmission & Encoding

– Continuous Query Processing, Streaming Analytics, Real-Time Databases

– Polyglot Persistence, NoSQL, Schemaless Data Modeling, Integration

– Database Architectures for Mobile and Web Clients

– Content Delivery Networks, Caching, Load-Balancing, Web-Scale Workloads

– Virtualization for Cloud Databases, Storage Structures and Indexing

– Frameworks and Systems for Parallel and Distributed Computing

– Scalable Machine Learning and Data Science

– Resource and Workload Management in Cloud Databases

– Tunable and Eventual Consistency, Latency

– High Availability, Reliability, Failover

– Transactional Models for Scalable Databases

– Consistency, Replication, and Partitioning

– Distributed Schema Management and Evolution

IMPORTANT DATES

Nov 03, 2021: Due date for full workshop paper submission

Nov 10, 2021: Notification of paper acceptance to authors

Nov 20, 2021: Camera-ready of accepted papers

Dec 15-18 2021: SCDM Workshop

SUBMISSION GUIDELINES

Research papers submitted to SCDM should present original completed

or ongoing research in the areas of cloud data management such as

listed above. Submitted papers may have a length of up to 10 pages in

the IEEE 2-column format. For templates and details, please visit

https://scdm.cloud

The workshop proceedings will be published by the IEEE Computer

Society Press.

SUBMISSION SITE

https://wi-lab.com/cyberchair/2021/bigdata21/scripts/submit.php?subarea=S04&undisplay_detail=1&wh=/cyberchair/2021/bigdata21/scripts/ws_submit.php

Chaired and organized by

Felix Gessert (Baqend, Germany)

Wolfram Wingerath (Baqend, Germany)

Benjamin Wollmer (University of Hamburg, Germany)

Norbert Ritter (University of Hamburg, Germany)

Contact

Email to: research@baqend.com or via scdm.cloud website