* A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud
* A New Disk I/O Model of Virtualized Cloud Environment
* A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud
* A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments
* Anchor: A Versatile and Efficient Framework for Resource Management in the Cloud
* Cloudy with a Chance of Cost Savings
* C-MART: Benchmarking the Cloud
* Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
* Efficient Resource Mapping Framework over Networked Clouds via Iterated Local Search-Based Request Partitioning
* Electricity Cost Saving Strategy in Data Centers by Using Energy Storage
* Error-Tolerant Resource Allocation and Payment Minimization for Cloud System
* Harnessing the Cloud for Securely Outsourcing Large-Scale Systems of Linear Equations
* Improving Data Center Network Utilization Using Near-Optimal Traffic Engineering
* Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the Cloud
* Optimal Multiserver Configuration for Profit Maximization in Cloud Computing
* Performance Enhancement for Network I/O Virtualization with Efficient Interrupt Coalescing and Virtual Receive-Side Scaling
* QoS Ranking Prediction for Cloud Services
* Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers
* Toward Fine-Grained, Unsupervised, Scalable Performance Diagnosis for Production Cloud Computing Systems
* A New Disk I/O Model of Virtualized Cloud Environment
* A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud
* A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments
* Anchor: A Versatile and Efficient Framework for Resource Management in the Cloud
* Cloudy with a Chance of Cost Savings
* C-MART: Benchmarking the Cloud
* Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
* Efficient Resource Mapping Framework over Networked Clouds via Iterated Local Search-Based Request Partitioning
* Electricity Cost Saving Strategy in Data Centers by Using Energy Storage
* Error-Tolerant Resource Allocation and Payment Minimization for Cloud System
* Harnessing the Cloud for Securely Outsourcing Large-Scale Systems of Linear Equations
* Improving Data Center Network Utilization Using Near-Optimal Traffic Engineering
* Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the Cloud
* Optimal Multiserver Configuration for Profit Maximization in Cloud Computing
* Performance Enhancement for Network I/O Virtualization with Efficient Interrupt Coalescing and Virtual Receive-Side Scaling
* QoS Ranking Prediction for Cloud Services
* Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers
* Toward Fine-Grained, Unsupervised, Scalable Performance Diagnosis for Production Cloud Computing Systems
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