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Journal ArticleDOI

An Optimal Time-Based Resource Allocation for Biomedical Workflow Applications in Cloud

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TLDR
Biomedical workflow applications’ necessities have increased with the progress of the biotechnology industry and it involves large volumes of data which require large-scale computation.
Abstract
Biomedical workflow applications’ necessities have increased with the progress of the biotechnology industry and it involves large volumes of data which require large-scale computation. Due to the ...

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Journal ArticleDOI

Fault-Tolerant Based Group Key Servers with Enhancement of Utilizing the Contributory Server for Cloud Storage Applications

TL;DR: Group key management in cloud computing has become a trending topic in recent decades and the implementation of clustered structure based on centralized key management is dealt with.
Journal ArticleDOI

A new method for human resource allocation in cloud-based e-commerce using a meta-heuristic algorithm

TL;DR: The imperialist competitive algorithm is suggested to solve the human resource allocation problem in cloud-based e-commerce and it is illustrated that the suggested hybrid method achieves higher performance in discovering the appropriate HR allocation than some modern techniques.
Journal ArticleDOI

A fuzzy‐based method for cloud service migration using a shark smell optimization algorithm

TL;DR: This article proposes a method to migrate the load from an over‐loaded VMs to the active machine that is least loaded using a fuzzy‐based shark smell optimization algorithm based on a shark's ability to discover prey as a strong hunter in nature, based on the shark's smell sense and motion to the odor source.
Proceedings ArticleDOI

A clonal selection mechanism for load balancing in the cloud computing system

TL;DR: In this article , the authors proposed a load balancing algorithm for the clonal selection algorithm in the cloud computing system, which can allocate virtual machines to user requests according to their requests.
Proceedings ArticleDOI

A clonal selection mechanism for load balancing in the cloud computing system

TL;DR: In this article , the authors proposed a load balancing algorithm for the clonal selection algorithm in the cloud computing system, which can allocate virtual machines to user requests according to their requests.
References
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Journal ArticleDOI

Performance-effective and low-complexity task scheduling for heterogeneous computing

TL;DR: Two novel scheduling algorithms for a bounded number of heterogeneous processors with an objective to simultaneously meet high performance and fast scheduling time are presented, called the Heterogeneous Earliest-Finish-Time (HEFT) algorithm and the Critical-Path-on-a-Processor (CPOP) algorithm.
Journal ArticleDOI

ASKALON: a tool set for cluster and Grid computing

TL;DR: The overall architecture of the ASKALON tool set is described and the basic functionality of the four constituent tools are outlined, enabling tool interoperability and demonstrating the usefulness and effectiveness of ASKalON by applying the tools to real‐world applications.
Book ChapterDOI

Data-Intensive Technologies for Cloud Computing

TL;DR: Cloud computing provides the opportunity for organizations with limited internal resources to implement large-scale data-intensive computing applications in a cost-effective manner.
Journal ArticleDOI

A resource provisioning framework for bioinformatics applications in multi-cloud environments

TL;DR: Experiments with different use-cases and scenarios reveal that BioCloud can decrease the workflow execution time for a given budget while encapsulating the complexity of resource management in multiple cloud providers.
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