Switch Bandwidth Congestion Prediction in Cloud Environment

Prediction System for Reducing the Cloud Bandwidth and Cost

Improving Data Availability Using Combined Replication Strategy in Cloud Environment

As grow as the data-intensive applications in cloud computing day after day, data popularity in this environment becomes critical and important. Hence to improve data availability and efficient accesses to popular data, replication algorithms are now widely used in distributed systems. However, most of them only replicate the static number of replicas on some requested chosen sites and it is ob...

Data Replication-Based Scheduling in Cloud Computing Environment

Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...

Research on CPU Workload Prediction and Balancing in Cloud Environment

Servers workload in the cloud environment should be balanced in order to achieve high efficiency and reduce resources consuming. One of the solutions is based on workload prediction, and design a proper load migration and balancing strategy. For the ease of discussion, we focus on CPU workload only in this paper. Specifically, considering the characteristics of workload, such as the strong corr...

Streaming Media Congestion Control using Bandwidth Estimation1

The fundamental challenge in streaming media over the Internet is to transfer the highest possible quality, adhere to the media play out time constraint, and efficiently and fairly share the available bandwidth with TCP, UDP, and other traffic types. This work introduces the Streaming Media Congestion Control protocol (SMCC), a new adaptive media streaming congestion management protocol in whic...