Workshops


Call for papers

The IEEE Workshop on Automation of Cloud Configuration and Operations (ACCO)

Tucson, Arizona, USA
September 18-22, 2017


Email: acco.workshop.2017 @gmail.com

GENERAL CHAIR
Abdella Battou, National Institute of Standards and Technology, USA

PROGRAM CO-CHAIRS
- Cihan Tunc, University of Arizona, USA
- Charif Mahmoudi, National Institute of Standards and Technology, USA

Cloud computing is emerging as the next generation IT paradigm due to its elasticity, scalability, availability, on demand, and pay only for services that you use. However, cloud systems face major challenges to provide and validate the required Service Level Agreement (SLA) as well as the security requirements for a wide range of cloud applications and services. Current cloud configuration and management are manual intensive, ad-hoc and error-prone. Manual processes are inherently inconsistent and they cannot support the cloud requirements for rapid provisioning of new applications or scale up/down resources on demand. To satisfy these emerging requirements and to support government and industry security requirements, it is critically important that cloud computing infrastructures support efficient automation. Cloud automation will result in efficient operations, consistent configurations that meet security and SLA requirements, dynamic and rapid provisioning of cloud resources on demand, elastic scalability up or down, and support cost savings. The goal of this workshop is to solicit original and unpublished research papers that describe techniques supporting efficient cloud automation to meet application’s SLA and security requirements. The topics of interest include, but are not limited to:

  • Dynamic configuration of cloud system resources to improve performance, security, and availability.
  • Automated data storage configuration and management in cloud systems.
  • Techniques to aggregate cloud infrastructures into well-defined components or structures that support automatic configuration and runtime management.
  • Intelligent cloud workload characterization and prediction to achieve fault tolerance, reliability and greater resilient operations.
  • Tools to automatically configure, monitor, and validate security of cloud systems and their applications.
  • Tools and techniques to pre-certify virtual machine (VM) templates, cloud template configurations and applications.
  • Tools to provide cloud users full visibility into security and operations of cloud systems and applications.

Submission and Publication

The papers must be formatted in a two-column layout up to 6 pages and must follow the IEEE proceedings format. All manuscripts will be reviewed and judged on merits including originality, significance, interest, correctness, clarity, and relevance to the broader community. Submitted papers must include original work and may not be under consideration for another workshop, conference or journal during the Automation of Cloud Configuration and Operations (ACCO) workshop review process.

Authors should submit their papers electronically following the instructions from the ICCAC 2017 conference website (http://autonomic-conference.org). At least one author of the accepted paper is expected to register and present their work during the workshop, for publication in IEEEXplore.

Important Dates


Call for papers

Workshop on InfoSymbiotics: DDDAS Dynamic Data Driven Applications Systems

In conjunction with the Foundations and Applications of Self* Systems (FAS*)
Tucson, Arizona, USA
September 18-22, 2017


Overview

The Dynamic Data-Driven Application Systems (DDDAS) paradigm forms a realizable symbiotic feedback system between application models of natural and engineered systems and application instrumentation. Through the dynamic integration across computing and measurements, DDDAS creates new capabilities for more accurate analysis, prediction, and control in application systems. The DDDAS paradigm, unifying applications, mathematical modeling, and sensors, is now more relevant than ever with the advent of Large-Scale/Big-Data and Big-Computing. Large-Scale-Dynamic-Data (advertised as the next wave of Big Data), includes the integrated range of data from high-end systems and instruments together with the dynamic data arising from ubiquitous sensing and control in engineered, natural, and societal systems. Multitudes of heterogeneous sensor data collections at large-scales pose system challenges of data storage, recall, analysis, and relevancy. In tandem with Large-Scale is Big Computing, which in addition to the high-end (peta- and exa-scale) data includes a new dimension of distributed computing supporting high-end computing to data collections of networked assemblies of sensors and controllers. The session invites papers that showcase advances in the DDDAS paradigm that combine real-world applications, contemporary mathematical approaches, and real-time large scale measurements, that focus on computing and software solutions that meet the emerging demands of big-data solutions. Key applications requiring DDDAS high-end computing solutions include distributed wireless platforms, collections of data for situation awareness, and critical infrastructure systems.

Call for Papers

The organizers welcome the submission of papers. Full papers (a maximum of 12 pages in length) and posters (a maximum of 4 pages) are invited on a wide variety of topics relating to the focus on the workshop. All papers must follow the IEEE proceedings format. All manuscripts will be reviewed and judged on merits including originality, significance, interest, correctness, clarity, and relevance to the broader community. Papers are strongly encouraged to report experiences, measurements, and user studies, and to provide an appropriate quantitative evaluation.

Submitted papers must include original work, and may not be under consideration for another conference or journal. They should also not be under review or be submitted to another forum during the workshop review process. Authors should submit full papers or posters electronically following the instructions from the workshop web site. Accepted papers and posters will appear in the FAS* workshops proceedings distributed at the conference and available electronically. Authors of accepted papers/poster are expected to attend the workshop and present their work.

Submission Instructions

Please register and submit your paper using the following submission link:

Important Dates


Call for papers

The 1st International Workshop on Autonomics and Cloud Security

In Conjunction with the IEEE Int. Conference on Cloud and Autonomic Computing (ICCAC’17)
The University of Arizona, Tucson, Arizona, USA
September 18-22, 2017


Cloud computing is used by many organizations to build scalable systems in different domains, such as retail, healthcare, human resources, finance, education, and government. Our society has become more dependent on the services provided by these cloud-based systems. As a result, cyber-attacks on these cloud-based systems can have a dramatic impact on all aspects of our lives.

Cloud security is an active area of research, involving many approaches for ensuring the confidentiality, availability, and integrity of data and applications hosted in the cloud. However, existing techniques for securing cloud-based systems, including autonomic-based cloud systems, are based on the assumption that people will be involved in managing them. These techniques require end user input to implement effective cybersecurity strategies to defend the systems.

The emerging area of Autonomic Cybersecurity can provide solutions that complement existing cybersecurity techniques in the cloud. The goal of Autonomic Cybersecurity is to use Autonomic Computing techniques and approaches to defend computing systems.

The Autonomics and Cloud Security workshop aims to investigate approaches to cloud security in general, including cloud-based autonomic systems, as well as autonomic cybersecurity approaches for defending cloud-based systems.

The workshop is soliciting papers in two categories, namely, the use of autonomic computing techniques to address cloud security, and techniques and approaches for securing cloud-based autonomic systems. Researchers are encouraged to submit original research contributions in these two categories, which include, but are not limited to, the following major areas:

  1. The use of autonomic computing techniques to address cloud security
    • Challenges in autonomics and cloud security and privacy
    • Emerging issues in autonomic cloud security
    • Autonomic identity and access management in cloud computing
    • Autonomic cybersecurity monitoring and incident response in cloud computing
    • Autonomic auditing and accountability in cloud computing
    • Autonomic approaches to usable security in cloud computing
    • Autonomic security protocols in cloud computing
    • Autonomic approaches to privacy in the cloud
    • Autonomic approaches for securing data and communication in the cloud
    • Secure autonomics-based cloud federation
    • Self-adaptive security policies
    • Self-configuration of cloud systems
    • Scalable cybersecurity in the cloud
    • Autonomic event recovery in the cloud
    • Autonomic approaches to moving target defense in the cloud
    • Autonomic approaches to cyber defense in the cloud
    • Autonomic approaches to intrusion detection and prevention systems in the cloud
    • Techniques and approaches for building resilient cloud systems
    • Cybersecurity in fog and edge computing
    • Application of big data analytics to securing the cloud
    • Autonomic approaches to trusted computing
  2. Techniques and approaches for securing cloud-based autonomic systems
    • Cybersecurity in the cloud for supporting IoT applications
    • Security protocols in cloud-based autonomic systems
    • Techniques and approaches for privacy preservation in cloud-based autonomic systems
    • Event detection and forensics in cloud-based autonomic systems
    • Techniques and approaches for cloud-based autonomic systems resiliency
    • Secure computing techniques for the cloud (securing data-in-processing via Homomorphic Encryption, Secure Multi-Party Computation, and other secure computing techniques).
    • Techniques and approaches for anomaly detection in cloud-based autonomic systems
    • Scalable cybersecurity in cloud-based autonomic systems
    • Ethical hacking and penetration testing in cloud-based autonomic systems
    • Case studies in securing cloud-based systems

We solicit research papers containing original research results and challenge papers motivating new research directions. In addition, the workshop will facilitate discussion and collaborative research among the participants.

Instructions for Authors

Authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the workshop. Submissions should include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address of the corresponding author. Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via EasyChair (http://www.easychair.org/) as PDF files (formatted for 8.5x11-inch paper). The manuscripts should be a minimum of 6 pages and a maximum of 8 pages long.

Submitted papers cannot have been previously published in or be under consideration for publication in another journal or conference. The workshop Program Committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address.

Review and Publication of Manuscripts

Submitted papers will be reviewed by the workshop Program Committee and judged on originality, technical correctness, relevance, and quality of presentation and the comments will be provided to the authors. Workshop papers will be in the same proceedings of the main conference papers. An accepted paper must be presented at the ICCAC 2017 venue by one of the authors registered at the full registration rate. If any accepted paper is not registered, the paper will be removed from the workshop program and the proceedings. Each workshop registration covers up to two workshop papers by an author.

Important Dates

Organization

GENERAL CHAIR

Mamadou H. Diallo, SPAWAR Systems Center Pacific, U.S. Department of Defense, USA

PROGRAM CO-CHAIRS

  • Michael August, SPAWAR Systems Center Pacific, U.S. Department of Defense, USA
  • Sherif Abdelwahed, Mississippi State University, USA

Call for papers

International Workshop on Autonomic Systems for Big Data Analytics (ASBDA 2017)

September 18-22, 2017, Tucson, Arizona, USA
URL: http://www.ce.uniroma2.it/asbda2017/

In the Big Data ecosystem, the velocity and volume at which data arrive for processing represent two challenging issues to be addressed in the design of systems, frameworks and applications. These challenges are exacerbated by increasingly demanding Quality of Service requirements that must be met despite workload variability or changes occurring in the execution environment, which might leverage on multi-clouds or edge computing resources. Due to the presence of multiple layers that compose a data analytics platform, the variable resource requirements across the layers and the intrinsic complexity of each layer, human-assisted control or manual configuration is unrealistic. Autonomic systems enable to rule the complexity of managing data analytics platforms and integrate monitoring, planning, and execution capabilities so to satisfy some utility goal (e.g., maximize performance, reduce power wastage, guarantee reliable processing). The variety and complexity of Big Data systems, that include data center and cloud resource managers, distributed storage systems, frameworks for batch, micro-batch and data stream processing, demand for specific autonomic solutions to address the multiple facets and foster novel interdisciplinary approaches.

This workshop intends to promote a community-wide discussion to identify and find suitable solutions that enable autonomic features in systems, frameworks, and applications for Big Data analytics. We are looking for papers that present new techniques, introduce new methodologies, propose new research directions, or discuss research challenges and report latest efforts from academia and industry that include (but are not limited to) the following topics:

  • Autonomic provisioning of Big Data applications in Cloud, distributed Cloud and edge computing environments
  • Autonomic resource management and admission control for Big Data systems
  • Autonomic data caching, movement and partitioning for Big Data systems
  • Customizations and extensions of existing software infrastructures and platforms to support autonomic Big data analytics
  • Elastic techniques to cope with bursty workloads and varying resource demands
  • Runtime reconfiguration strategies to cope with highly dynamic execution environments
  • Self-adaptive scheduling and placement strategies for Big Data systems on clusters, Clouds, and distributed Clouds
  • Applications and case studies of autonomic Big Data analytics in various domains, including astrophysics, biology, climate change, healthcare, Internet of Things, Smart Cities, and social networks

Submission Guidelines

We call for original and unpublished papers describing research results, experience, and visions. They can be in one of the two formats: a full paper that should not exceed 8 pages double column, including figures, tables, references and appendices or 4-page position paper. Submitted manuscripts should be in the standard IEEE format for conference proceedings (see formatting templates for details: http://www.ieee.org/conferences_events/conferences/publishing/templates.html).

Papers should be submitted as PDF files via Easychair at https://easychair.org/conferences/?conf=asbda2017.

At least one author of each accepted paper is required to attend the workshop and present the paper. Presented papers will be included in the workshop proceedings volume that will be published by IEEE and included in the IEEE Xplore Digital Library.

Few selected papers will be invited for journal special issue after the workshop.

Important Dates

Committees

Program Co-Chairs
Valeria Cardellini, University of Rome Tor Vergata, Italy
Manish Parashar, Rutgers University, USA

Publicity and Web Chair
Matteo Nardelli, University of Rome Tor Vergata, Italy

Technical Program Committee
TBA

Call for papers

1st Workshop on Autonomic Management of Large Scale Container-based Systems (AMLCS)


URL: https://www.bth.se/amlcs/

Held in conjunction with the 2017 IEEE International Conference on Cloud and Autonomic Computing (ICCAC), and part of FAS* - Foundations and Applications of Self* Systems The University of Arizona, Tucson, AZ, USA, September 18-22, 2017

Containers are a lightweight OS-level virtualization abstraction primarily based on namespace isolation and control groups. A container is a software environment where one can install an application or application component (the so called micro service) and all the library dependencies, the binaries, and a basic configuration needed to run the application. Containers provide a higher level of abstraction for the process lifecycle management, with the probability not only to start / stop but overpriced to upgrade and release a new version of a containerized service in a seamless way.

Container packaging mechanisms like Docker, LXD and RKT, as well as management frameworks like Kubernetes, Cloudify, Mesos, etc., are witnessing widespread adoption in the Cloud, Big Data and the Internet industry today. Indeed, containers may solve many issues, e.g., application dependencies; application portability; performance overhead.

Despite that wide interest in containers, we are far away from the maturity stage and there are still many open research issues. This workshop is specifically focused on the challenge of autonomic management of large-scale container based systems.

The workshop is supposed to share new findings, exchange ideas, discuss research challenges and report latest research efforts that related but not limited to the following topics:

  • Performance modeling of container based systems
  • Monitoring of container based systems
  • Characterization of containerized workload
  • Orchestration models, mechanisms and policies for large-scale deployments
  • Resource management at run time
  • Autonomic management of large-scale container-based systems
  • Management of container in cloud networking (eg NFV)
  • Use cases and challenges for the management / orchestration of large-scale container-based systems - Cloud, HPC, Big Data, IoT applications and Internet / Network Services

Submission and publication

We call for original and unpublished papers describing research results, experience, visions or new initiatives. Two type of manuscript are accepted: full papers and position papers. Full papers should not exceed 8 pages and position papers should not exceed 4 pages. The paper should be in the standard double column IEEE format for conference proceedings (https://www.ieee.org/conferences_events/conferences/publishing/templates.html), and paper length includes figures, tables, references and appendices. Presented papers will be included in the proceeding of IEEE ICCAC conference. A special issue containing few selected paper will be organized in a prestigious ISI journal (e.g. IEEE TAAS and Cluster Computing Springer).

All manuscripts will be reviewed and judged on merits including originality, significance, interest, correctness, clarity, and relevance. Papers are strongly encouraged to report experiences, measurements, and user studies, and to provide an appropriate quantitative evaluation.

Papers should be submitted as PDF files via EasyChair using the following link https://easychair.org/conferences/?conf=amlcs17

At least one author of each accepted paper is required to attend the workshop and present the paper.

Important Dates

Committees

Workshop Co-Chairs
- Emiliano Casalicchio, Blekinge Institute of Technology, Sweden, Emiliano.casalicchio@bth.se
- Nectarios Koziris, Technical University of Athens, Greece, nkoziris@cslab.ece.ntua.gr

Panel chair
Kurt Tutschku, Blekinge Institute of Technology, SE

Call for papers

The 5th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'17)


URL: http://htcaas.kisti.re.kr/wiki/index.php/AMGCC17

Held in conjunction with the 2017 IEEE International Conference on Cloud and Autonomic Computing (ICCAC), and part of FAS* - Foundations and Applications of Self* Systems The University of Arizona, Tucson, AZ, USA, September 18-22, 2017

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as “utility computing” where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days. Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are crucial. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

Topics of Interests

  • Autonomic Workflow and Resource Management in Cloud and Grid
  • Autonomous and Adaptive Management of Virtualized Resources
  • High Performance Grid and Cloud
  • Security, Privacy, and Compliance Management for Hybrid Utility Computing
  • Performance and Usage Monitoring in Hybrid Infrastructures
  • Autonomic Resource Discovery and Scheduling in Cloud and Grid
  • Service-based Autonomic Management in Cloud and Grid
  • Hybrid Cloud Resource Provisioning Orchestration
  • Adaptive Resource Provisioning and Adjustment in Grid and Cloud
  • Autonomics in High Performance Cloud Computing
  • Cloud/Grid Workload Profiling and Autonomic Deployment Control
  • Fault tolerance and Reliability in Hybrid Utility Computing
  • Federation, Bridging, and Bursting of Grid and Cloud Resources
  • Data management and Analytics in Cloud
  • Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data

Important Dates

Paper Submission Guideline

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to 6 pages in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

Extended Paper Journal Version Selected papers presented at the AMGCC'17 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank (http://link.springer.com/journal/10586). In AMGCC'16, ~ 70% of the presented papers were invited to publish in the journal.

Organization

Workshop Co-Chairs

  • Sungyong Park, Sogang University, Korea
  • Soonwook Hwang, Korea Institute of Science and Technology Information, Korea

Technical Program Committee

  • Kento Aida, National Institute of Informatics, Japan
  • Jaeyoung Choi, Soongsil University, Korea
  • Youngri Choi, Ulsan National Institute of Science and Technology, Korea
  • Ewa Deelman, Information Sciences Institute/University of Southern California, USA
  • Sandro Fiore, CMCC Supercomputing Center, Italy
  • Ricardo Graciani Diaz, Universitat de Barcelona, Spain
  • Hyeonsang Eom, Seoul National University, Korea
  • Eric Heien, Computational Infrastructure for Geodynamics/University of California, Davis, USA
  • Jens Jensen, Science & Technology Facilities Council, UK
  • Jik-Soo Kim, Korea Institute of Science and Technology Information, Korea
  • Yoonhee Kim, Sookmyung Women’s University, Korea
  • Jaewook Lee, Seoul National University, Korea
  • Kyungyong Lee, Kookmin University, Korea
  • Jaehwan Lee, Korea Aerospace University, Korea
  • Myungho Lee, Myongji University, Korea
  • Young Choon Lee, Macquarie University, Australia
  • Raffaele Montella, University of Naples Parthenope, Italy
  • Taiga Nakamura, IBM Tokyo Research Laboratory, Japan
  • Beomseok Nam, Ulsan National Institute of Science and Technology, Korea
  • Sangmi Lee Pallickara, Colorado State University, USA
  • Seung-Jong Park, Louisiana State University, U.S.A.
  • Sungyong Park, Sogang University, Korea
  • Robert E. Quick, Indiana University, U.S.A.
  • David Sarramia, Blaise Pascal University, France
  • Yoshio Tanaka, National Institute of Advanced Industrial Science and Technology (AIST), Japan
  • Taro Tezuka , University of Tsukuba, Japan
  • Steven C. Timm, Fermi National Accelerator Laboratory, U.S.A.
  • Ananta Tiwari, San Diego Supercomputer Center (SDSC), USA
  • Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
  • Justin M Wozniak, Argonne National Lab, USA
  • Heon Y Yeom, Seoul National University, Korea

Contacts

For any inquiries about the workshop or paper submission, please contact:

  • Sungyong Park, Sogang University, Korea, parksy AT sogang.ac.kr
  • Soonwook Hwang, KISTI, hwang AT kisti.re.kr

Important Dates

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