Top Research Papers on Cloud Computing

Capturing the current state of the art in Cloud Computing technology and applications is the main goal of this book. The book’s secondary objective is to chart a course for future studies and technological developments that will pave the way for the establishment of a worldwide marketplace for cloud computing services catering to commercial, government, academic, and consumer needs. The book is designed to be a reference for a wide range of readers, including systems architects, developers, practitioners, new researchers, and graduate students.

Computational intelligence (CI), consisting of a set of nature-inspired computational approaches, recently exhibits great potential in addressing optimization problems in CC and EC.

This review will enable the readers to compare the prominent simulators in terms of the supported model, architecture, and high-level features and provide recommendations regarding the choice of the most suitable tool for researchers, providers, and managers of cloud environment.

This survey addresses the issue of how blockchain technology inserts into current deployed cloud solutions and enables the reengineering of cloud datacenter, and investigates recent efforts in the technical fusion of blockchain and clouds.

The work identified that the heterogeneity of such an ecosystem does have issues and poses a great setback in the deployment of security and privacy mechanisms to counter security attacks and privacy leakages.

This article proposes a distributed algorithm by leveraging the alternating direction method of multipliers (ADMMs) to approximate the optimal solution with low computational complexity and shows that the proposed algorithm can effectively reduce the total energy consumption of ground users.

An efficient framework for mobile edge-cloud computing networks, which enables the edge and the cloud to share their computing resources in the form of wholesale and buyback and an optimal cloud computing resource management to maximize the social welfare is proposed.

An overview of Big Data Analytics as a crucial process in many fields and sectors is presented and issues such as analytics cycle, analytics benefits and the movement from ETL to ELT paradigm as a result of Big data analytics in Cloud are discussed.

This paper presents a comprehensive review of various Load Balancing techniques in a static, dynamic, and nature-inspired cloud environment to address the Data Center Response Time and overall performance.

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their provenance graph, (2) modelling services and virtual machines, (3) tools for data analytics, and pre-/post-processing, and (4) educational materials. Data is citable and archived persistently, providing a comprehensive embodiment of entire simulation pipelines (calculations performed, codes used, data generated) in the form of graphs that al...

This paper gives an idea about various task scheduling algorithms in the cloud computing environment used by researchers and applied different parameters like completion time, throughput, and cost to evaluate the system.

With the recent advancements in computer technologies, the amount of data available is increasing day by day. However, excessive amounts of data create great challenges for users. Meanwhile, cloud computing services provide a powerful environment to store large volumes of data. They eliminate various requirements, such as dedicated space and maintenance of expensive computer hardware and software. Handling big data is a time-consuming task that requires large computational clusters to ensure successful data storage and processing. In this work, the definition, classification, and characteristi...

The infrastructure is agnostic to the specific simulation codes used and can support diverse applications in computational science that transcend its initial materials domain.

The concept of Cloud Computing has been distinguished as one of the major computing models in recent years. Cloud computing has become a great innovation that has important consequences not just for services on the internet but also for the entire Information technology (IT) market. Its emergence aims to optimize on-demand technology, hardware and information provisioning as a service, reaching the economy of scale in the distribution and operation of IT strategies. A great deal of cloud computing research has been concerned over some obstacles and challenges that rely upon behind the lure of ...

Some proposed approaches and scheduling algorithms applied for resource allocation within cloud computing through virtualization in the datacenter showed that each proposed approach and scheduling algorithm has an obvious role in utilizing the shared resources of the cloud data center.

This work proposes a dependency-aware offloading scheme in MEC with edge-cloud cooperation under task dependency constraints with an efficient greedy algorithm, considering both edge- cloud and edge-edge co-operations.

An online algorithm for UAV swarms to jointly optimize the computation offloading and multi-hop routing scheduling in the Edge-Cloud environment and exploits Lyapunov optimization to control the migration cost caused by the dynamics of application and environment is proposed.

A novel security-by-design framework for BD frameworks deployment over cloud computing (BigCloud) that relies on a systematic security analysis methodology and a completely automated security assessment framework that enables the mapping of BigCloud security domain knowledge to the best practices in the design phase.

This article has mentioned some of the significant challenges faced by the cloud and proposed solutions by integrating it with blockchain technology, and developed architecture integrating blockchain with cloud revealing the communication between blockchain and cloud.

According to the review, data security, availability, and integrity, as well as information confidentiality and network security, were the major challenges in cloud security.