International Workshop on Clouds and (eScience)
Applications Management - CloudAM 2018

In conjunction with the 11th IEEE/ACM Utility and Cloud Computing (UCC)

 

 Zurich, Switzerland,  December 17, 2018

Description

Cloud computing, virtualization and virtual (eScience) applications are currently hot topics and have been generating substantial interest in the community, and it is anticipated that this interest will expand. It is also important to the research community as it is challenging traditional methods by its sheer size and high level of automation. Clouds must provide appropriate levels of performance to large groups of diverse users, and those clouds are accessed through virtualized wide area networks. Management systems are essential for that and thereby for the future success of the cloud paradigm. New systems, methods, and approaches for cloud, virtualization and (eScience) applications management are to be discussed at this workshop.

For the CloudAM 2018 workshop, researchers from Clouds and (eScience) Applications communities are encouraged to submit and present original work to be considered for publication. Overall topics of interest include but are not limited to:

  • Cloud computing environments
  • Cloud service orchestration
  • Cloud APIs and usage control
  • Cloud data management
  • Cloud scalable monitoring
  • Cloud load balancing
  • Multi-cloud/Inter-clouds
  • Customer cloud management
  • Managing data centers
  • Management as a service
  • Management of virtual slices
  • *aaS Management
  • Application and Management Portals
  • Cloud scheduling
  • Hybrid clouds
  • Fog computing
  • Cloud case studies
  • Cloud surveys and taxonomies
  • Social clouds
  • Autonomic cloud computing
  • Cloud – IoT/Smart Cities integration

 

  • Accounting and economic models for clouds
  • Managing cloud services
  • Management of virtualized hardware resources
  • Network-specific mechanisms for optimized cloud access
  • Performance modeling & evaluation
  • QoS/QoE management in the cloud
  • Management tools for infrastructure virtualization
  • Automated resource slicing
  • Integration of the wireless and optical domains
  • Policy driven service/resource life-cycle management
  • Applications and services enabled by virtualized infrastructure
  • Optimization of data center and workload energy consumption
  • Green cloud computing
  • Scientific workflows on clouds
  • Mobile clouds
  • Big data / complex event processing in the cloud

 

Deadlines

Paper submission due: September 14, 2018 (Hard-deadline)
Notification of acceptance: October 10, 2018
Final camera-ready papers due: October 15, 2018 (Hard-deadline)
Workshop date: December 17, 2018
 

Submissions

The Clouds and Applications Management workshop invites authors to submit original and unpublished work. Papers should not exceed 6 pages IEEE style (single-spaced 2-column text using 10-point size type on A4 paper). Authors should submit a PostScript (level 2) or PDF file that will print on a PostScript printer:

  • Submission requires the willingness of at least one of the authors to register and present the paper.
  • All selected papers for this workshop are peer-reviewed and will be published in IEEE Xplore.
  • Selected (extended) papers should be invited to submit to a high-quality Journal special issue.

To submit your paper, please access the easychair submission system at: EasyChair

 

Program

The following list of peer-reviewed scientific papers have been accepted for presentation at CloudAM2018:

  • Unsupervised Anomaly Event Detection for Cloud Monitoring using Online Arima. Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschlaeger, Alexander Acker and Odej Kao
  • Developing Pricing Strategies for Cloud Service Providers in a Competitive Market. In Lee
  • Risk-based Service Selection in Federated Clouds. Omer Rana, Ioan Petri and Usama Ahmed
  • Micro-Workflows: Kafka and Kepler fusion to support Digital Twins of Industrial Processes. Gleb Radchenko, Ameer Alaasam and Andrei Tchernykh
  • Using Neuromorphic Hardware for the Scalable Execution of Massively Parallel, Communication-Intensive Algorithms. Louis Blin, Ahsan Javed Awan and Thomas Heinis
  • Novel Vector Packing Heuristic for VM Placement based on the Divide-and-Conquer Paradigm. Shravan S K and J Lakshmi
  • Dynamic Multi-Objective Workflow Scheduling for Cloud Computing Based on Evolutionary Algorithms. Goshgar Ismayilov and Haluk Topcuoglu
  • A Model-driven Approach to Automate Utility Cloud Services Deployment and Management. Anirban Bhattacharjee, Yogesh Barve, Aniruddha Gokhale and Takayuki Kuroda
  • Real-life Experience with Private Cloud hosting Heterogeneous Scientific Workloads. Dalibor Klusacek, Boris Parak, Vaclav Chlumsky and Lukas Hejtmanek
 

Program Committee

  • Omer  Rana, Cardiff University, UK
  • Hoang Nguyen,  University of Queensland, Australia
  • Nazim Agoulmine University of Evry Val d'Essone, France
  • Minh Ngoc Dinh, The University of Queensland, Australia
  • Rafael Ferreira Da Silva, USC, USA
  • Murphy Seán, Zurich University of Applied Science (ZHAW), Switzerland
  • Andrey Brito, UFCG, Brazil
  • Craig     Lee, The Aerospace Corporation, USA
  • Alan Davy, Waterford Institute of Technology, Ireland
  • Vladimir Vlassov, KTH, Sweeden
  • Vojtech  Cima, IT4Innovations, VSB – Technical University of Ostrava, Czech Republic
  • Hélio     Guardia, Federal University of Sao Carlos, Brazil
  • Jose Angel Bañares, University of Zaragoza, Spain
  • Felix    Freitag, Universitat Politècnica de Catalunya, Spain
  • Rossi Kamal, IEEE Seoul Chapter, Korea
  • Claudio  Geyer, UFRGS, Brazil
  • Ioan Petri, Cardiff University, UK
  • Alexander Withers,  University of Illinois at Urbana-Champaign, USA
  • Wilson Higashino,  University of Western Ontario
  • Mariza Ferro, National Laboratory for Scientific Computing, Brazil
  • Jorge    Álvarez, Cardiff University, UK
  • Ivan Rodero, Rutgers University, USA
  • Manish Parashar, Rutgers University, USA
  • Michael Bauer, University of Western Ontario, Canada
  • Marco Netto, IBM, Brazil
  • Agustin  Caminero, Universidad Nacional de Educación a Distancia, Spain
  • Laurent  Lefevre INRIA, France
  • Ashiq Anjum, Univ. of Derby, UK
  • Zoltán Mann, Univ. Duisburg-Essen, Germany
  • Gleb Radchenko, South Ural State Univ., Russia

Workshop Co-chairs

Bruno Schulze - LNCC, BR
Luiz Bittencourt - UNICAMP, BR
Rafael Tolosana-Calasanz - Unizar, ES

 

Datos de mapas
Datos de mapas ©2018 Google
Datos de mapasDatos de mapas ©2018 Google
Datos de mapas ©2018 Google

Sponsors