cloud computing research papers 2022

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Simulation and performance assessment of a modified throttled load balancing algorithm in cloud computing environment

<span lang="EN-US">Load balancing is crucial to ensure scalability, reliability, minimize response time, and processing time and maximize resource utilization in cloud computing. However, the load fluctuation accompanied with the distribution of a huge number of requests among a set of virtual machines (VMs) is challenging and needs effective and practical load balancers. In this work, a two listed throttled load balancer (TLT-LB) algorithm is proposed and further simulated using the CloudAnalyst simulator. The TLT-LB algorithm is based on the modification of the conventional TLB algorithm to improve the distribution of the tasks between different VMs. The performance of the TLT-LB algorithm compared to the TLB, round robin (RR), and active monitoring load balancer (AMLB) algorithms has been evaluated using two different configurations. Interestingly, the TLT-LB significantly balances the load between the VMs by reducing the loading gap between the heaviest loaded and the lightest loaded VMs to be 6.45% compared to 68.55% for the TLB and AMLB algorithms. Furthermore, the TLT-LB algorithm considerably reduces the average response time and processing time compared to the TLB, RR, and AMLB algorithms.</span>

An improved forensic-by-design framework for cloud computing with systems engineering standard compliance

Reliability of trust management systems in cloud computing.

Cloud computing is an innovation that conveys administrations like programming, stage, and framework over the web. This computing structure is wide spread and dynamic, which chips away at the compensation per-utilize model and supports virtualization. Distributed computing is expanding quickly among purchasers and has many organizations that offer types of assistance through the web. It gives an adaptable and on-request administration yet at the same time has different security dangers. Its dynamic nature makes it tweaked according to client and supplier’s necessities, subsequently making it an outstanding benefit of distributed computing. However, then again, this additionally makes trust issues and or issues like security, protection, personality, and legitimacy. In this way, the huge test in the cloud climate is selecting a perfect organization. For this, the trust component assumes a critical part, in view of the assessment of QoS and Feedback rating. Nonetheless, different difficulties are as yet present in the trust the board framework for observing and assessing the QoS. This paper talks about the current obstructions present in the trust framework. The objective of this paper is to audit the available trust models. The issues like insufficient trust between the supplier and client have made issues in information sharing likewise tended to here. Besides, it lays the limits and their enhancements to help specialists who mean to investigate this point.

Cloud Computing Adoption in the Construction Industry of Singapore: Drivers, Challenges, and Strategies

An extensive review of web-based multi granularity service composition.

The paper reviews the efforts to compose SOAP, non-SOAP and non-web services. Traditionally efforts were made for composite SOAP services, however, these efforts did not include the RESTful and non-web services. A SOAP service uses structured exchange methodology for dealing with web services while a non-SOAP follows different approach. The research paper reviews the invoking and composing a combination of SOAP, non-SOAP, and non-web services into a composite process to execute complex tasks on various devices. It also shows the systematic integration of the SOAP, non-SOAP and non-web services describing the composition of heterogeneous services than the ones conventionally used from the perspective of resource consumption. The paper further compares and reviews different layout model for the discovery of services, selection of services and composition of services in Cloud computing. Recent research trends in service composition are identified and then research about microservices are evaluated and shown in the form of table and graphs.

Integrated Blockchain and Cloud Computing Systems: A Systematic Survey, Solutions, and Challenges

Cloud computing is a network model of on-demand access for sharing configurable computing resource pools. Compared with conventional service architectures, cloud computing introduces new security challenges in secure service management and control, privacy protection, data integrity protection in distributed databases, data backup, and synchronization. Blockchain can be leveraged to address these challenges, partly due to the underlying characteristics such as transparency, traceability, decentralization, security, immutability, and automation. We present a comprehensive survey of how blockchain is applied to provide security services in the cloud computing model and we analyze the research trends of blockchain-related techniques in current cloud computing models. During the reviewing, we also briefly investigate how cloud computing can affect blockchain, especially about the performance improvements that cloud computing can provide for the blockchain. Our contributions include the following: (i) summarizing the possible architectures and models of the integration of blockchain and cloud computing and the roles of cloud computing in blockchain; (ii) classifying and discussing recent, relevant works based on different blockchain-based security services in the cloud computing model; (iii) simply investigating what improvements cloud computing can provide for the blockchain; (iv) introducing the current development status of the industry/major cloud providers in the direction of combining cloud and blockchain; (v) analyzing the main barriers and challenges of integrated blockchain and cloud computing systems; and (vi) providing recommendations for future research and improvement on the integration of blockchain and cloud systems.

Cloud Computing and Undergraduate Researches in Universities in Enugu State: Implication for Skills Demand

Cloud building block chip for creating fpga and asic clouds.

Hardware-accelerated cloud computing systems based on FPGA chips (FPGA cloud) or ASIC chips (ASIC cloud) have emerged as a new technology trend for power-efficient acceleration of various software applications. However, the operating systems and hypervisors currently used in cloud computing will lead to power, performance, and scalability problems in an exascale cloud computing environment. Consequently, the present study proposes a parallel hardware hypervisor system that is implemented entirely in special-purpose hardware, and that virtualizes application-specific multi-chip supercomputers, to enable virtual supercomputers to share available FPGA and ASIC resources in a cloud system. In addition to the virtualization of multi-chip supercomputers, the system’s other unique features include simultaneous migration of multiple communicating hardware tasks, and on-demand increase or decrease of hardware resources allocated to a virtual supercomputer. Partitioning the flat hardware design of the proposed hypervisor system into multiple partitions and applying the chip unioning technique to its partitions, the present study introduces a cloud building block chip that can be used to create FPGA or ASIC clouds as well. Single-chip and multi-chip verification studies have been done to verify the functional correctness of the hypervisor system, which consumes only a fraction of (10%) hardware resources.

Study On Social Network Recommendation Service Method Based On Mobile Cloud Computing

Cloud-based network virtualization in iot with openstack.

In Cloud computing deployments, specifically in the Infrastructure-as-a-Service (IaaS) model, networking is one of the core enabling facilities provided for the users. The IaaS approach ensures significant flexibility and manageability, since the networking resources and topologies are entirely under users’ control. In this context, considerable efforts have been devoted to promoting the Cloud paradigm as a suitable solution for managing IoT environments. Deep and genuine integration between the two ecosystems, Cloud and IoT, may only be attainable at the IaaS level. In light of extending the IoT domain capabilities’ with Cloud-based mechanisms akin to the IaaS Cloud model, network virtualization is a fundamental enabler of infrastructure-oriented IoT deployments. Indeed, an IoT deployment without networking resilience and adaptability makes it unsuitable to meet user-level demands and services’ requirements. Such a limitation makes the IoT-based services adopted in very specific and statically defined scenarios, thus leading to limited plurality and diversity of use cases. This article presents a Cloud-based approach for network virtualization in an IoT context using the de-facto standard IaaS middleware, OpenStack, and its networking subsystem, Neutron. OpenStack is being extended to enable the instantiation of virtual/overlay networks between Cloud-based instances (e.g., virtual machines, containers, and bare metal servers) and/or geographically distributed IoT nodes deployed at the network edge.

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Call for Papers: IEEE CLOUD 2022

PDF Call for Papers

IEEE CLOUD is a flagship conference focusing on innovative cloud computing across all “as a service” categories, including modeling, developing, publishing, monitoring, managing, delivering Everything-as-a-Service (XaaS) in the context of various types of cloud environments. IEEE CLOUD 2022 invites original papers addressing all aspects of cloud computing technology i.e., infrastructure, applications, management and security solved using technologies of Big Data, Artificial Intelligence, High Performance computing, Distributed computing etc..

Technical topics of interest include but are not limited to the following:

Cloud as a Service

IaaS, PaaS, and SaaS
Function as a Service
Network as a Service
Storage as a Service
Everything as a Service

Cloud Infrastructure

Cloud Computing System and Architectures
Edge Computing System and Architectures
Cloud-centric Network Architectures
Storage and Data Architectures
Hybrid-clouds and Multi-clouds Integration
Cloud Computing Virtualization/Containerization

Cloud Applications

Large Scale Cloud Applications
Terminal-Edge-Cloud Applications
5G/6G Enhanced Edge/Cloud Applications
Social and Mobile Cloud Applications
Innovative Cloud Applications
Microservice-based Cloud Applications
Containerized Application Virtualisation
Serverless Cloud Applications

Cloud Management and Operations

Distributed and Parallel Query Processing
Resource, Energy, Data Management
Cloud Metering and Monitoring
Containers, Serverless Computing
SDN, NFV, Data Center Network
Cloud Service Adaptation and Automation
Cloud Federation, Service Composition
Sustainable Cloud Computing

Cloud Security and Privacy

Access Control, Authorization, Authentication
Assurance, Audit, Certification, Compliance
Fault Tolerance, High Availability, Reliability
Cryptographic Algorithms and Protocols
Privacy-aware data management
Trusted Cloud Environments
Application of Distributed Ledger Technologies to Cloud

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Please download the paper template in WORD, LaTeX or Overleaf.

Language: English Paper size and format: US Letter; Two-column format in the IEEE style Page limit:

Every full paper submission can include up to 10 pages for the main contents (including all text, footnotes, figures, tables and appendices) with additional pages for appropriate references.
Up to three pages for “Work-in-Progress” paper submission (including main contents and references).
Please note that the above page limit will be applied without exception. Papers violating the page limit will regretfully be desk rejected.

Abstract Length: 1500 characters for a regular paper, and 500 characters for “work in progress” papers Number of Keywords: between five to eight keywords for each paper File format: Limit the size of a single PDF file to be 6MB

Anonymous Submissions: All conferences under IEEE SERVICES implement a double-blind reviewing process. Author names and affiliations should not appear in the paper. The authors should make a reasonable effort not to reveal their identities of institutional affiliations in the text, figures, photos, links, or other data that is contained in the paper. Authors’ prior work should be preferably referred to in the third person; if this is not feasible, the references should be blinded. Submissions that violate these requirements will be rejected without review. The list of authors cannot be changed after the acceptance decision is made unless approved by the Program Chairs.

All submitted manuscripts will be peer-reviewed by at least three members of the program committee. Accepted papers with confirmed registration and committed presentation will appear in the conference proceedings published by the IEEE Computer Society Press. TCSVC will provide a cash prize of USD 400.00 to every Best Paper and Best Student Paper at IEEE SERVICES 2022. Recipients of “Best Paper”, “Best Student Paper”, and special paper awards will be presented with award certificates and cash prizes in the to-be-recorded Awards session of the conference. The authors of selected papers will be encouraged to submit extended and enhanced versions of their papers to the IEEE Transactions on Services Computing (TSC) and other suitable journals.

Submitted papers are REQUIRED to be formatted using the IEEE Proceedings template. Unformatted papers and papers beyond the page limit will not be reviewed.

PAPER SUBMISSION – EASYCHAIR

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IEEE Policy and professional ethics require that referees treat the contents of papers under review as privileged information not to be disclosed to others before publication. It is expected that no one with access to a paper under review will make any inappropriate use of the special knowledge, which that access provides. Contents of abstracts submitted to conference program committees should be regarded as privileged as well, and handled in the same manner. The Conference Publications Chair shall ensure that referees adhere to this practice.

Organizers of IEEE conferences are expected to provide an appropriate forum for the oral presentation and discussion of all accepted papers. An author, in offering a paper for presentation at an IEEE conference, or accepting an invitation to present a paper, is expected to be present at the meeting to deliver the paper. In the event that circumstances unknown at the time of submission of a paper preclude its presentation by an author, the program chair should be informed on time, and appropriate substitute arrangements should be made. In some cases, it may help reduce no-shows for the Conference to require advance registration together with the submission of the final manuscript.

ABOUT THE TECHNICAL COMMITTEE ON SERVICES COMPUTING

Founded in 2003, IEEE Computer Society’s Technical Committee on Services Computing (TCSVC) is a multidisciplinary group whose purpose is to advance and coordinate work in the field of Services Computing carried out throughout the IEEE in scientific, engineering, standard, literary and educational areas. IEEE TCSVC membership details are available at http://tab.computer.org/tcsvc/

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Email CFP inquiries to: [email protected]

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Journal of Cloud Computing

Advances, Systems and Applications

Special Issues - Guidelines for Guest Editors

For more information for Guest Editors, please see our Guidelines

Special Issues - Call for Papers

We welcome submissions for the upcoming special issues of the Journal of Cloud Computing

Advanced Blockchain and Federated Learning Techniques Towards Secure Cloud Computing Guest Editors: Yuan Liu, Jie Zhang, Athirai A. Irissappane, Zhu Sun Submission deadline: 30 April 2024

Mobile Edge Computing Meets AI Guest Editors: Lianyong Qi, Maqbool Khan, Qiang He, Shui Yu, Wajid Rafique Submission deadline: 3 May 2024 Blockchain-enabled Decentralized Cloud/Edge Computing Guest Editors: Qingqi Pei, Kaoru Ota, Martin Gilje Jaatun, Jie Feng, Shen Su Submission deadline: 31 st March 2023

Most accessed

Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN

Authors: Chengping Zhang, Muhammad Aamir, Yurong Guan, Muna Al-Razgan, Emad Mahrous Awwad, Rizwan Ullah, Uzair Aslam Bhatti and Yazeed Yasin Ghadi

Cross-chain asset trading scheme for notaries based on edge cloud storage

Authors: Lang Chen, Yuling Chen, Chaoyue Tan, Yun Luo, Hui Dou and Yuxiang Yang

An overview of QoS-aware load balancing techniques in SDN-based IoT networks

Authors: Mohammad Rostami and Salman Goli-Bidgoli

MSCO: Mobility-aware Secure Computation Offloading in blockchain-enabled Fog computing environments

Authors: Veni Thangaraj and Thankaraja Raja Sree

Provably secure data selective sharing scheme with cloud-based decentralized trust management systems

Authors: S. Velmurugan, M. Prakash, S. Neelakandan and Arun Radhakrishnan

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A quantitative analysis of current security concerns and solutions for cloud computing

Authors: Nelson Gonzalez, Charles Miers, Fernando Redígolo, Marcos Simplício, Tereza Carvalho, Mats Näslund and Makan Pourzandi

Critical analysis of vendor lock-in and its impact on cloud computing migration: a business perspective

Authors: Justice Opara-Martins, Reza Sahandi and Feng Tian

Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas

Authors: Amr Adel

Intrusion detection systems for IoT-based smart environments: a survey

Authors: Mohamed Faisal Elrawy, Ali Ismail Awad and Hesham F. A. Hamed

Load balancing in cloud computing – A hierarchical taxonomical classification

Authors: Shahbaz Afzal and G. Kavitha

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Aims and scope

The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.

Published articles will impart advanced theoretical grounding and practical application of Clouds and related systems as are offered up by the numerous possible combinations of internet-based software, development stacks and database availability, and virtualized hardware for storing, processing, analysing and visualizing data. Where relevant, Clouds should be scrutinized alongside other paradigms such Peer to Peer (P2P) computing, Cluster computing, Grid computing, and so on. Thorough examination of Clouds with respect to issues of management, governance, trust and privacy, and interoperability, are also in scope. The Journal of Cloud Computing is indexed by the Science Citation Index Expanded/SCIE. SCI has subsequently merged into SCIE.

Cloud Computing is now a topic of significant impact and, while it may represent an evolution in technology terms, it is revolutionising the ways in which both academia and industry are thinking and acting. The Journal of Cloud Computing, Advances, Systems and Applications (JoCCASA) has been launched to offer a high quality journal geared entirely towards the research that will offer up future generations of Clouds. The journal publishes research that addresses the entire Cloud stack, and as relates Clouds to wider paradigms and topics.

Chunming Rong, Editor-in-Chief University of Stavanger, Norway

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Annual Journal Metrics

2022 Citation Impact 4.0 - 2-year Impact Factor 4.4 - 5-year Impact Factor 1.711 - SNIP (Source Normalized Impact per Paper) 0.976 - SJR (SCImago Journal Rank)

2023 Speed 10 days submission to first editorial decision for all manuscripts (Median) 116 days submission to accept (Median)

2023 Usage 733,672 downloads 49 Altmetric mentions