English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

n a cloud computing environment, it is necessary to simultaneously allocate both processing ability and network bandwidth needed to access it. The authors proposed the joint multiple resource allocation method in a cloud computing environment that consists of multiple data centers with different QoS (Quality of Service).This paper proposes to enhance the existing joint multiple resource allocation method, so that it can handle multiple heterogeneous resource-attributes. Resource-attributes of bandwidth, for example, are network delay time, packet loss probability, etc. The basicidea is to identify the key resource-attribute first whichhas the most impact on resource allocation and to select the resources which provide the lowest QoS for the key resource-attribute as it satisfies required Quality of Service. It is demonstrated by simulation evaluations that the enhanced method (Method A) canreduce the total amount of resources up to 30%,compared with the existing method. It is also highly likely that each data center provides the different network delay to users at multiple locations.This paper proposes the further enhancement ofMethod A inorder to handle the case where each data center provides the different network delay to users at multiple locations

Joint Multiple Resource Allocation Method for Cloud Computing Services with Different QOS to Users at Multiple Locations