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.

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.

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 ...

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.

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...

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.

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

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.

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.

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.

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 introduces some privacy security risks of cloud computing and proposes a comprehensive privacy security protection framework, and shows and discusses the research progress of several technologies, such as access control; ciphertext policy attribute-based encryption (CP-ABE); key policy attributes based encryption (KP-ABe); and multi-tenant, trust, and a combination of multiple technologies.

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.

Compared to related state-of-the-art survey papers, this article not only provides a broader 12 categories of ABE schemes, but also makes a more comprehensive and holistic comparison.

Cloud computing has recently attracted significant attention due to its economical and high-quality services. In the last decade, cloud services have inevitably entangled with businesses' and individuals' daily lives through products and services. On-demand, pay-per-use characteristics encourage corporations to outsource part of their businesses to accelerate their services and multiply value. The latest market tendency toward migration to cloud environments, started in 2019, indicates a flourishing trend in the next few years. Despite the numerous benefits of the cloud computing model for bus...

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

ElasticBLAST is a useful application that can efficiently perform BLAST searches for the user in the cloud, reducing the threshold to move work to the cloud and hiding much of the complexity of working in thecloud.

A taxonomy of task offloading in edge-cloud environments is proposed to investigate and classify related research articles, and several challenges which have not been addressed for future research directions on this area to promote the development of edge- cloud market are summarized.

A thorough survey is performed by examining the origins of the sensor-cloud and providing an in-depth and comprehensive discussion of these three key challenges: reliability, energy, and heterogeneity.

A clustering based workload prediction method, which first clusters all the tasks into several categories and then trains a prediction model for each category respectively is introduced, which outperforms other comparison methods and improves the prediction accuracy to around 90% both in CPU and memory.

A conceptual zero trust strategy for the cloud environment has been proposed and the model offers a conceptual typology of perceptions and philosophies for establishing trust in cloud services.

Virtualization technology is the backbone of cloud systems, the fastest-growing energy consumers, globally. It holds an imperative position in the resource management area by providing solutions for many related critical problems and challenges. Resource consolidation remains one of the techniques most used to develop new and more efficient resource management policies. Virtual machine packing, which is mainly addressed, allows cloud data centers to move from a particular state to a more optimized one. Currently, the unprecedented advancements in container-based cloud and containerized workloa...

Results show that RACORAM is very close to the optimal method with significantly reduced computational complexity, and greatly outperforms the other baseline methods in terms of the CSC's cost under different scenarios.

An improved initialization of particle swarm optimization (PSO) using heuristic algorithms using longest job to fastest processor (LJFP) and minimum completion time (MCT) algorithms is proposed and the performance of the proposed algorithms is compared with recent task scheduling methods.

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.

A complete systematic mapping analysis on the impact of high energy consumption in cloud data centers and its effect on the environment is conducted and suggestions for future enhancements in green computing are provided.

It is found that cloud computing is an innovation delivery enabler for other emerging technologies (building information modelling, internet of things, virtual reality, augmented reality, big data analytics) in the construction industry.

Qiskit Pulse, a pulse-level programming paradigm implemented as a module within Qiskit-Terra, allows users to explore advanced control schemes such as optimal control theory, dynamical decoupling, and error mitigation that are not available within the circuit model.

The notion of such convergence is described and an architectural framework for converged network-cloud/edge systems is presented and the state of the art of enabling technologies for network- cloud/edge convergence is surveyed by reviewing recent progress in relevant standardization and technology developments in representative research projects.

This article proposes a ciphertext-policy attribute-based mechanism with keyword search and data sharing (CPAB-KSDS) for encrypted cloud data and proves that it is against chosen ciphertext attack and chosen keyword attack secure in the random oracle model.

This survey compares the novel requirement-specific features used by state-of-the-art research models for zero-trust cloud networks, focusing on domain-specific issues plaguing modern cloud computing networks, which leverage choosing and implementing features necessary for future networks and incorporate intelligent security orchestration, automation and response.

A novel algorithm is proposed to maximize the profit of distributed cloud and edge computing systems while meeting response time limits of tasks and realizes a larger profit than several typical offloading strategies.

This paper proposed Hybrid Electro Search with a genetic algorithm (HESGA) to improve the behavior of task scheduling by considering parameters such as makespan, load balancing, utilization of resources, and cost of the multi-cloud.

This research article proposes social networking between IoT devices, by the interconnection of IoT devices based on a Cloud computing method.