Topic
Cloud computing
About: Cloud computing is a research topic. Over the lifetime, 156433 publications have been published within this topic receiving 1963602 citations. The topic is also known as: cloud platform & cloud.
Papers published on a yearly basis
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Papers
TL;DR: In this article, a UAV-based mobile cloud computing system is studied in which a moving UAV is endowed with computing capabilities to offer computation offloading opportunities to MUs with limited local processing capabilities.
Abstract: Unmanned aerial vehicles (UAVs) have been recently considered as means to provide enhanced coverage or relaying services to mobile users (MUs) in wireless systems with limited or no infrastructure. In this paper, a UAV-based mobile cloud computing system is studied in which a moving UAV is endowed with computing capabilities to offer computation offloading opportunities to MUs with limited local processing capabilities. The system aims at minimizing the total mobile energy consumption while satisfying quality of service requirements of the offloaded mobile application. Offloading is enabled by uplink and downlink communications between the mobile devices and the UAV, which take place by means of frequency division duplex via orthogonal or nonorthogonal multiple access schemes. The problem of jointly optimizing the bit allocation for uplink and downlink communications as well as for computing at the UAV, along with the cloudlet's trajectory under latency and UAV's energy budget constraints is formulated and addressed by leveraging successive convex approximation strategies. Numerical results demonstrate the significant energy savings that can be accrued by means of the proposed joint optimization of bit allocation and cloudlet's trajectory as compared to local mobile execution as well as to partial optimization approaches that design only the bit allocation or the cloudlet's trajectory.
721 citations
1 May 2013
TL;DR: An algorithm named honey bee behavior inspired load balancing (HBB-LB) is proposed, which aims to achieve well balanced load across virtual machines for maximizing the throughput and compared with existing load balancing and scheduling algorithms.
Abstract: Scheduling of tasks in cloud computing is an NP-hard optimization problem. Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing (HBB-LB), which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue.
721 citations
1 Dec 2007
TL;DR: This research presents a meta-service architecture that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of developing and deploying new types of services and applications.
Abstract: Powerful services and applications are being integrated and packaged on the Web in what the industry now calls "cloud computing"
720 citations
10 Jun 2017
TL;DR: This chapter surveys existing serverless platforms from industry, academia, and open-source projects, identifies key characteristics and use cases, and describes technical challenges and open problems.
Abstract: Serverless computing has emerged as a new compelling paradigm for the deployment of applications and services. It represents an evolution of cloud programming models, abstractions, and platforms, and is a testament to the maturity and wide adoption of cloud technologies. In this chapter, we survey existing serverless platforms from industry, academia, and open-source projects, identify key characteristics and use cases, and describe technical challenges and open problems.
719 citations
1 Oct 2017
TL;DR: This work proposes an innovative user-centric health data sharing solution by utilizing a decentralized and permissioned blockchain to protect privacy using channel formation scheme and enhance the identity management using the membership service supported by the blockchain.
Abstract: Enabled by mobile and wearable technology, personal health data delivers immense and increasing value for healthcare, benefiting both care providers and medical research The secure and convenient sharing of personal health data is crucial to the improvement of the interaction and collaboration of the healthcare industry Faced with the potential privacy issues and vulnerabilities existing in current personal health data storage and sharing systems, as well as the concept of self-sovereign data ownership, we propose an innovative user-centric health data sharing solution by utilizing a decentralized and permissioned blockchain to protect privacy using channel formation scheme and enhance the identity management using the membership service supported by the blockchain A mobile application is deployed to collect health data from personal wearable devices, manual input, and medical devices, and synchronize data to the cloud for data sharing with healthcare providers and health insurance companies To preserve the integrity of health data, within each record, a proof of integrity and validation is permanently retrievable from cloud database and is anchored to the blockchain network Moreover, for scalable and performance considerations, we adopt a tree-based data processing and batching method to handle large data sets of personal health data collected and uploaded by the mobile platform
717 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 91 |
| 2025 | 9,873 |
| 2024 | 13,154 |
| 2023 | 16,155 |
| 2022 | 25,943 |
| 2021 | 12,056 |