[hpc-announce] CFP - CloudCom 2019 (Cloud Computing Technology and Science), Dec. 2019, Sydney, Australia

[Jesson Butt]

Call for papers:

The 11th IEEE International Conference on Cloud Computing Technology and
Science (CloudCom 2019) will be held in Sydney, Australia on 11-13 December
2019.

Website: http://www.swinflow.org/confs/2019/cloudcom/

Key dates:
Submission Deadline: August 10, 2019 (11:59pm UTC/GMT)
Notification: September 15, 2019
Final Manuscript Due: October 8, 2019

Submission site: http://www.swinflow.org/confs/2019/cloudcom/submission.htm

Publication:
Proceedings will be published by IEEE CS Press.

Special issues:
Distinguished papers will be selected for special issues in Future
Generation Computer Systems, Journal of Parallel and Distributed Computing,
Concurrency and Computation: Practice and Experience,  Pattern Recognition
Letters.

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Introduction

CloudCom is the premier conference on Cloud Computing worldwide, attracting
researchers, developers, users, students and practitioners from the fields
of big data, systems architecture, services research, virtualization,
security and privacy, high performance computing, always with an emphasis
on how to build cloud computing platforms with real impact. The conference
is co-sponsored by the Institute of Electrical and Electronics Engineers
(IEEE), is steered by the Cloud Computing Association, and draws on the
excellence of its world-class Program Committee and its participants.

Topics of interest of CloudCom 2019 include, but are not limited to:

- Architecture, Storage and Virtualization
- Cloud Services and Applications
- Security, Privacy and Trust
- Edge Computing and Distributed Cloud

(1) Track 1: Architecture, Storage and Virtualization
- Intercloud architecture models
- Virtual Machines (VMs), containers, unikernels and microservices
- Cloud services delivery models, campus integration & “last mile” issues
- Virtualization technology and enablers (network virtualization,
software-defined networking)
- Networking technologies
- Cloud system design with FPGAs, GPUs, APUs
- Storage & file systems
- Scalability & performance
- Resource provisioning, monitoring, management & maintenance
- Operational, economic & business models
- Green data centers
- Computational resources, storage & network virtualization
- Resource monitoring
- Virtual desktops
- Resilience, fault tolerance, disaster recovery
- Modeling & performance evaluation
- Disaster recovery
- Energy efficiency

(2) Track 2: Cloud Services and Applications
- XaaS (everything as a service including IaaS, PaaS, and SaaS)
- Cloud services models & frameworks
- Service deployment and orchestration in the Cloud
- Cloud service management
- Cloud workflow management
- Cloud services reference models & standardization
- Cloud-powered services design
- Cloud elasticity
- Machine learning and systems interactions
- Data management applications & services
- Service for computing-intensive applications
- Mining and analytics
- Data-provisioning services
- Cloud programming models, benchmarks, and tools
- Cloud-based services & protocols
- Fault-tolerance & availability of cloud services and applications
- Application development and debugging tools
- Business models & economics of cloud services

(3) Track 3: Security, Privacy and Trust
- Accountability & audit
- Authentication & authorization
- Cloud integrity
- Blockchain Cloud services
- Cryptography in the Cloud
- Hypervisor security
- Identity management & security as a service
- Prevention of data loss or leakage
- Secure, interoperable identity management
- Trust & credential management
- Trust models for cloud services
- Usable security Risk management in cloud computing environments
- Privacy policy framework for clouds
- Privacy-preserving data mining for clouds
- Information sharing and data protection in the cloud
- Cryptographic protocols against internal attacks in clouds
- Privacy protection in cloud platforms
- Energy/cost/efficiency of security in clouds

(4) Track 4: Edge Computing and Distributed Cloud
- Cloudlet-enabled applications
- Distributed Cloud Infrastructure
- Foundations and principles of distributed cloud computing
- Architectural models, prototype implementations and applications
- Cloud brokers and coordination across multiple resource managers
- Interoperability and mobility
- Software infrastructure for cloudlets
- Dynamic resource, service and context management on edge computing
- Fog Computing
- IoT cloud architectures & models
- Cloud-based context-aware IoT
- Economics and pricing
- Experience with and performance evaluation of existing deployments and
measurements (public, private, hybrid, federated environments)

(5) Short Papers, Posters, and Demo

Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the
corresponding author and should not exceed 8 pages for main conference,
including tables and figures in IEEE CS format. The template files for
LATEX or WORD can be downloaded here. All paper submissions must represent
original and unpublished work. Each submission will be peer reviewed by at
least three program committee members. Submission of a paper should be
regarded as an undertaking that, should the paper be accepted, at least one
of the authors will register for the conference and present the work.
Submit your paper(s) in PDF file at the submission site:
http://www.swinflow.org/confs/2019/cloudcom/submission.htm.

Publications
Accepted and presented papers will be included into the conference
proceedings. Distinguished papers presented at the conference, after
further revision, will be published in special issues of selected journals.

General Chairs
Albert Zomaya, The University of Sydney, Australia
Rajkumar Buyya, The University of Melbourne, Australia
Laurence Yang, St. Francis Xavier University, Canada

Program Chairs
Jinjun Chen, Swinburne University of Technology, Australia
Rajiv Ranjan, Newcastle University, UK
Aniello Castiglione, University of Naples Parthenope, Italy

Workshops and Tutorials Chairs
Xuyun Zhang, The University of Auckland, New Zealand

Short Papers, Posters, and Demo Chair
Muneeb Hassan, Swinburne University of Technology, Australia

Phd Consortium Chair
Deepak Puthal, Newcastle University, UK

Track 1: Architecture, Storage and Virtualization
Luiz F. Bittencourt, University of Campinas (UNICAMP), Brazil
Muhammad Usman, Federation University, Australia

Track 2: Cloud Services and Applications
Laura Ricci, University of Pisa, Italy
James Zheng, Macquarie University, Australia

Track 3: Security, Privacy and Trust
Martin Gilje Jaatun, University of Stavanger, Norway
Li Li, Monash University, Australia

Track 4: Edge Computing and Distributed Cloud
Sarunas Girdzijauskas, KTH, Sweden
Xiao Liu, Deakin University, Australia