Editorial Policies

Focus and Scope

HCCAJ (HPC and Cloud Computing Applications Journal) publishes regular research papers, short communications, reviews and visionary papers in all aspects of cloud technologies and High Performance Computing Applications. There is no restriction on the length of the papers. Articles should focus such experiences and techniques, as well as methods for analyzing and applying algorithms and solution schemes related to particular application areas. Articles that document the complexity of maximizing performance for real world applications are of particular interest.

Regular research papers are full original findings with sufficient experimental research. They make substantial theoretical and empirical contributions to the research field. Research papers should be written as concise as possible.

Short communications report novel research ideas. The work represented should be technically sound and significantly advancing the state of the art. Short communications also include exploratory studies and methodological articles.

Research reviews are insightful and accessible overview of a certain field of research. They conceptualize research issues, synthesize existing findings and advance the understanding of the field. They may also suggest new research issues and directions.

Visionary papers identify new research issues and future research directions, and describe new research visions in the field. The new visions will potentially have great impact for the future society and daily life. 

This journal deals with all the aspects of cloud computing and HPC. We except original and high quality submissions related (but not limited) to the following topics:

- cloud computing

- Grid and cluster computing

- Parallel Programming

- GPU Computing

- BigData 

- Nano Computation

- HPC applications (Climate Modeling , Cryptographic Analysis, Geophysics, Molecular Biology, Molecular Dynamics, Physical Oceanography, Quantum Chemistry, Solid State Physics, Structural Dynamics)

 

detail Scope

 

·       Resource allocation and provisioning

·       Data security in the cloud

·       Cloud governance

·       Cloud computing standards and compliance

·       Cloud computing pricing and economics

·       Cloud management and monitoring

·       Negotiating service-level agreements and billing with cloud providers

·       Cloud disaster recovery

·       Platform as a Service and cloud computing

·       Big data and BI

·       Cloud development and testing

·       Building scalable websites in the cloud

·       Cloud APIs and frameworks

·       High-performance computing in the cloud

·       Software as a Service and cloud computing

·       Mobile cloud applications

·       Enterprise application integration with cloud providers

·       Network and application performance in the cloud

·       Cloud desktop and application delivery

·       Cloud architecture design

·       Hybrid cloud

·       Private cloud providers

·       Cloud computing and virtualization

·       IaaS cloud deployment strategies

·       Public cloud providers

·       Open source cloud computing

·       Large Scale Cloud Application

·       Green and Energy Management of Cloud Computing

·       Cloud Composition, Federation, Bridging, and Bursting

·       Cloud Migration

·       Cloud Workload Profiling and Deployment Control

·       Distributed and Cloud Networking

·       Cloud Services models

·       Cloud services reference models and standardization

·       Intercloud architecture models

·       Cloud federation and hybrid cloud infrastructure

·       Cloud services provisioning and management 

·       Cloud services delivery models, campus integration and “last mile” issues

·       Networking technologies for data centers, intracloud and interclouds

·       Cloud powered services design

·       Programming models and systems/tools

·       Cloud system design with FPGA, GPU, APU

·       Monitoring, management and maintenance

·       Operational, economic and business models 

·       Green data centers

·       Business processes, compliance and certification

·       Dynamic resource provisioning

·       Machine learning

·       Data mining

·       Approximate and scalable statistical methods

·       Graph algorithms

·       Querying and search

·       Data Lifecycle Management for Big Data

·       Frameworks, tools and their

·       Composition

·       Storage and analytic architectures

·       Performance and debugging

·       Hardware optimizations for Big Data

·       Data Flow management and scheduling

·       Accountability and Audit in clouds

·       Authentication and authorization 

·       Cloud integrity and binding issues

·       Cryptography for/ in the cloud

·       Hypervisor security

·       Identity/ Security as a Service

·       Prevention of data loss or leakage

·       Secure, interoperable identity in the Cloud

·       Security and privacy in clouds

·       Trust and credential management 

·       Trusted Computing in Cloud Computing

·       Usability and security

·       Security services on the Cloud

·       Data management applications and services

·       Scheduling and application workflows on the Cloud 

·       Cloud application benchmarks

·       Cloud-based services and protocols

·       Cloud model and framework 

·       Cloud-based storage and file systems

·       Cloud scalability and performance

·       Fault-tolerance of cloud services and applications

·       Application development and debugging tools

·       Business models and economics of Cloud services

·       Services for improving Cloud application availability

·       Use cases of Cloud applications

·       Server, storage, network virtualization 

·       Resource monitoring 

·       Virtual desktop

·       Resilience, fault tolerance

·       Modeling and performance evaluation

·       Security aspects

·       Enabling disaster recovery, job migration

·       Energy efficient issues

·       Load balancing for HPC clouds

·       Middleware framework for HPC clouds

·       Scalable scheduling for HPC clouds

·       HPC as a Service

·       Performance Modeling and Management

·       Programming models for HPC clouds

·       HPC cloud applications ; Use cases, experiences with HPC clouds

·       Cloud deployment systems for HPC clouds

·       GPU on the Cloud

·       IoT cloud architectures, models

·       Cloud-based dynamic composition of IoT

·       Cloud-based context-aware IoT

·       Mobile cloud architectures and models

·       Green mobile cloud computing

·       Resource management in mobile cloud environments

·       Cloud support for mobility-aware networking protocols

·       Multimedia applications in mobile cloud environments

·       Security, privacy and trust in mobile IoT clouds

·       Cloud-based mobile networks and applications

General Track

Other emerging and new topics in the cloud and HPC, such as,

  • Software defined systems;
  • Economics and market mechanisms;
  • Renewable energy usage in data centers;
  • Benchmarking and performance studies;
  • Aerodynamics and aerospace engineering;
  • Astrophysics and geophysics;
  • Atmospheric research and meteorological forecasting;
  • Automotive design and production;
  • Climate modeling;
  • Computer graphics and imaging;
  • Molecular biology and molecular dynamics;
  • Petroleum reservoir engineering and hydrology;
  • Pharmaceutical structural analysis and computer-aided design;
  • Physical oceanography;
  • Quantum chemistry and first principles molecular dynamics;
  • Solid state physics, and structural dynamics.

 

ISSN : 2423-477X

 

Section Policies

General

Editors
  • Abbas Horri
  • Amin Nezarat
Checked Open Submissions Checked Indexed Checked Peer Reviewed

Cluster Computing

Editors
  • Abbas Horri
  • Amin Nezarat
Checked Open Submissions Checked Indexed Checked Peer Reviewed

Cloud Computing

Editors
  • Abbas Horri
  • Amin Nezarat
Checked Open Submissions Checked Indexed Checked Peer Reviewed

Grid Computing

Editors
  • Abbas Horri
  • Amin Nezarat
Checked Open Submissions Checked Indexed Checked Peer Reviewed

GPU Computing

Editors
  • Abbas Horri
  • Amin Nezarat
Checked Open Submissions Checked Indexed Checked Peer Reviewed

BigData

Editors
  • Abbas Horri
  • Amin Nezarat
Checked Open Submissions Checked Indexed Checked Peer Reviewed

Computational Physics

Editors
  • Reza Behjatmanesh-Ardakani
  • Ali Kazempour
Checked Open Submissions Checked Indexed Checked Peer Reviewed

Computational Chemistry

Editors
  • Reza Behjatmanesh-Ardakani
  • Ali Kazempour
Checked Open Submissions Checked Indexed Checked Peer Reviewed

Computational Mechanics

Editors
  • Amin Nezarat
Checked Open Submissions Checked Indexed Checked Peer Reviewed
 

Peer Review Process

HCCAJ is committed to enforcing a rigorous peer-review process. All manuscripts submitted for publication in HCCA journal are strictly and thoroughly peer-reviewed. Our editorial offices will organize the peer-reviewing and collect three review reports per manuscript. The editorial board will make an accept/revision/reject decision based on the reports of reviewers. Authors will be informed with the decision and reviewing results within 2-6 weeks after the manuscript submission. Authors should perform an adequate revision to address the concerns from reviewers. A second round of peer-review will be performed if necessary.  

Accepted manuscripts are published online immediately.

 

Publication Frequency

Frequency of Publication: 4 issues per year (quarterly)

 

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

 

About HCCAJ

The “Cloud” is a natural evolution of distributed computing and of the widespread adaption of virtualization and SOA. In Cloud Computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology.  Articles should focus such experiences and techniques, as well as methods for analyzing and applying algorithms and solution schemes related to particular application areas. Articles that document the complexity of maximizing performance for real world applications are of particular interest.

In cloud scenarios, computing and storage resources are typically hidden from the user. Dependant on the demand of the resources of a user's application, different amount of resources can be used from a large pool of resources, which is shared between many users. Scalable applications are required, which can deal with the different amount of resources. The business model of cloud computing is often pay-per-use: You pay what you are using.

HCCAJ (HPC and Cloud Computing Applications Journal) publishes regular research papers, short communications, reviews and visionary papers in all aspects of cloud technologies and High Performance Computing Applications. There is no restriction on the length of the papers. 

Regular research papers are full original findings with sufficient experimental research. They make substantial theoretical and empirical contributions to the research field. Research papers should be written as concise as possible.

Short communications report novel research ideas. The work represented should be technically sound and significantly advancing the state of the art. Short communications also include exploratory studies and methodological articles.

Research reviews are insightful and accessible overview of a certain field of research. They conceptualize research issues, synthesize existing findings and advance the understanding of the field. They may also suggest new research issues and directions.

Visionary papers identify new research issues and future research directions, and describe new research visions in the field. The new visions will potentially have great impact for the future society and daily life.