World's Best Scientists 2026 revealed!
IEEE

International Conference on Cloud Computing Technology and Science (CloudCom)

Location: BAngkok , Thailand

Submission deadline: 7/15/2022

Conference dates: 12/13/2022 - 12/16/2022

Research H-index
6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 565 39 40 6

Call for Papers

Track 1: Cloud Infrastructure, Operation, and Management

- Datacenter Architecture

- Cloud-native architecture- Networking technologies

- Cloud Computing System & Architecture

- Cloud Storage & file systems

- Unikernels- Scalability, performance, and elasticity

- Resource Management

- Metering, Tracing, and Monitoring for the Cloud

- Cloud capacity planning

- Operational, economic & business models

- Cloud Sustainability & Energy Efficiency

- Multi-Cloud & Hybrid Cloud

- Operating Systems for the Cloud

- Virtual desktops

- Resilience, fault-tolerance, disaster recovery

- Modeling & performance evaluation

Track 2: Cloud Services and Applications

- XaaS (everything as a service including IaaS, PaaS, and SaaS)

- Cloud services models & frameworks

- Service Level Agreements

- Service deployment and orchestration in the Cloud

- Cloud service and workflow management

- Systems interactions and machine learning

- Data management applications & services

- Services for compute-intensive applications

- Services for emerging technologies (quantum computing, augmented reality, etc.)

- Mining and analytics

- Data-provisioning services

- Cloud programming models, benchmarks, and tools

- Serverless & Containers

- Cloud-based services & protocols

- Fault-tolerance & availability of cloud services and applications

- Traffic prediction models and auto-scaling for Cloud services

- Application development and debugging tools

- Cloud-native applications

- Business models & economics of Cloud services

Track 3: Security, Privacy, and Trust

- Hardware security and Side Channels

- Securing Machine Learning in the Cloud

- Trusted execution and confidential computing

- Virtual machine and container security

- Accountability & auditing

- Authentication & authorization

- 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 protection in Cloud platforms

- Privacy policy framework in the Cloud

- Privacy-preserving data mining in the Cloud

- Information sharing and data protection in the Cloud

- Cryptographic protocols against internal attacks in the Cloud

- Energy, cost, efficiency of security in the Cloud.

Track 4: Edge Computing, IoT and Distributed Cloud

- Cloud-native edge computing

- Cloudlet-enabled applications

- Software infrastructure for cloudlets

- Distributed Cloud infrastructure

- Foundations and principles of distributed Cloud computing

- Architectural models, prototype implementations and applications

- Inter-cloud architecture models

- Cloud brokers and coordination across multiple resource managers

- Dynamic resource, service and context management in edge computing

- Fog computing

- IoT cloud architectures & models

- Cloud-based context-aware IoT

- Economics and pricing

- Sustainability in 5G and beyond

- Existing deployments and measurements of public, private, hybrid, and federated environments

Overview

The ranking presented on this page showcases the leading scientific conferences in the field of Computer Science, reflecting the latest advancements and thought leadership in the discipline. This ranking is meticulously curated by Research.com, a prominent and trusted platform recognized for providing authoritative data on scientific contributions across all major fields since 2014, including Computer Science.

Each conference's position in the ranking is determined based on a distinctive bibliometric score, a metric unique to Research.com. This score is calculated by integrating the estimated h-index of the conference with the number of leading scientists who have contributed to the conference over the past three years. This robust approach ensures that both scholarly impact and the engagement of top researchers are duly recognized in the conference evaluation.

The Impact Score values featured in the ranking were collected on 2024-11-27, offering the most current and reliable assessment of scientific influence. The development of this ranking required an extensive and in-depth review process, wherein more than 2,742 conferences were scrutinized. This selection followed a rigorous evaluation of over 148,739 scientific documents published within the last three years, authored by 13,184 distinguished and widely-respected computer science experts. Such thorough analysis guarantees a high level of accuracy and confidence in the presented results.

For a comprehensive understanding of the methodologies employed in computing these ranking scores, including details on data sources, scoring algorithms, and selection criteria, readers are encouraged to consult our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at IEEE International Conference on Cloud Computing Technology and Science (based on the number of publications) are:

  • David Dick (20 papers) absent at the last edition,
  • Douglas K. Barry (20 papers) absent at the last edition,
  • Yuri Demchenko (19 papers) absent at the last edition,
  • Claudia Cappelli (16 papers) absent at the last edition,
  • Chunming Rong (16 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at IEEE International Conference on Cloud Computing Technology and Science (based on the number of publications) are:

  • IBM (40 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Hewlett-Packard (40 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Chinese Academy of Sciences (27 papers) published 7 papers at the last edition, 3 more than at the previous edition,
  • University of Amsterdam (22 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • University of Stavanger (22 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2018 edition, 30.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.76% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.68% of all publications and 70.32% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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