CryptoGA: a cryptosystem based on genetic algorithm for cloud data security

Cluster Computing - Cloud Computing is referred to as a set of hardware and software that are being combined to deliver various services of computing. The cloud keeps the services for delivery of...     

Multi-objective Task Scheduling in cloud-fog computing using goal programming approach

Cluster Computing - Fog Computing continues to extend its usage by solving cloud computing challenges about Internet of Things (IoT). Fog nodes as a processing resource, can perform tasks generated...     

A hierarchical laplacian TWSVM using similarity clustering for leaf classification

Cluster Computing - This article introduces a multi-class hierarchical algorithm for semi-supervised classification. The proposed algorithm incorporates the benefits of tree-based classification...     

AutoWM: a novel domain-specific tool for universal multi-/many-core accelerations of the WRF cloud microphysics

Cluster Computing - In large-scale atmospheric simulations, microphysics parameterization often takes a large portion of simulation time and usually consists of dozens of parameterization schemes....     

Spark-ITGO: a parallel invasive tumor growth optimization algorithm on spark

Cluster Computing - The rapidly increasing complexity and scale of optimization problems pose challenges to search ability and performance of traditional evolutionary algorithms which could be only...     

OPSA: an optimized prediction based scheduling approach for scientific applications in cloud environment

Cluster Computing - Cloud computing has attracted scientists to deploy scientific applications by offering services such as Infrastructure-as-a-service (IaaS), Software-as-a-service (SaaS), and...     

SDN-based bandwidth scheduling for prioritized data transfer between data centers

Cluster Computing - The widespread deployment of scientific applications and business services of various types on clouds requires the transfer of big data with different priorities between...     

A state sharding model on the blockchain

Cluster Computing - Blockchain is an incrementally updated ledger maintained by distributed nodes with excellent features such as decentralization and immutability. However, the development of...     

Performance and isolation analysis of RunC,gVisor and Kata Containers runtimes

Cluster Computing - Containers are resource-efficient and most IT industries are adopting container-based infrastructure. However, the security and isolation of the container is rather weak. In...     

Blockchain-enabled real-time SLA monitoring for cloud-hosted services

Cluster Computing - Cloud computing is an important technology for businesses and individual users to obtain computing resources over the Internet on-demand and flexibly. Although cloud computing...     

Weighted double deep Q-network based reinforcement learning for bi-objective multi-workflow scheduling in the cloud

Cluster Computing - As a promising distributed paradigm, cloud computing provides a cost-effective deploying environment for hosting scientific applications due to its provisioning elastic,...     

Reliable budget aware workflow scheduling strategy on multi-cloud environment

Cluster Computing - The resource provisioning and workflow execution in a multi-cloud environment using a pay-as-you-use framework have recently gained the attention of the cloud computing research...     

Quantitative cost comparison of on-premise and cloud infrastructure based EEG data processing

Cluster Computing - High-density, high-sampling rate EEG measurements generate large amounts of measurement data. When coupled with sophisticated processing methods, this presents a storage,...     

Guest Editorial on Cluster Computing in the Internet

Editorial Introduction

Guest Editorial on Cluster Computing in the Internet     

Auto-scaling techniques for IoT-based cloud applications: a review

Cluster Computing - Cloud and IoT applications have inquiring effects that can strongly influence today’s ever-growing internet life along with necessity to resolve numerous challenges for...     

Best-KFF: a multi-objective preemptive resource allocation policy for cloud computing systems

Cluster Computing - Resource provisioning is a key issue in large-scale distributed systems such as cloud computing systems. Several resource provider systems utilized preemptive resource...     

RHAS: robust hybrid auto-scaling for web applications in cloud computing

Cluster Computing - The elasticity characteristic of cloud services attracts application providers to deploy applications in a cloud environment. The scalability feature of cloud computing gives...     

Virtual network function placement with bounded migrations

Cluster Computing - With the penetration of Network Function Virtualization (NFV), network functions, traditionally deployed as proprietary physical equipment like firewalls, Network Address...     

Mitigating the worst parent attack in RPL based internet of things

Cluster Computing - The Low Power and Lossy Networks (LLNs) in the Internet of Things environment comprising constrained embedded devices have particular routing requirements that are well...     

Energy and cost trade-off for computational tasks offloading in mobile multi-tenant clouds

Cluster Computing - Mobile cloud computing augments smart-phones with computation capabilities by offloading computations to the cloud. Recent works only consider the energy savings of mobile...