Policy-Based Market-Oriented Cloud Service Management Architecture

2011 ◽  
pp. 284-291 ◽  
Author(s):  
Zhiyun Guo ◽  
Meina Song ◽  
Qian Wang
Keyword(s):  
Service Management ◽  
Cloud Service ◽  
Management Architecture

Optimizing Cloud Storage Management Services

2015 ◽  
pp. 404-429
Author(s):  
Gabriel Alatorre ◽  
Sandeep Gopisetty ◽  
Divyesh Jadav ◽  
Bryan Langston ◽  
Nagapramod Mandagere ◽  
...  
Keyword(s):  
Service Management ◽  
Cloud Service ◽  
Resource Usage ◽  
Management Activity ◽  
Storage Service ◽  
Management Architecture ◽  
Storage Resource ◽  
Management Techniques ◽  
The Right ◽  
Infrastructure Services

Storage services are an essential part of an organization's IT infrastructure services and contribute a significant part of total IT costs. For this reason, various service management techniques are applied to optimize a service's storage resource usage while still addressing requirements related to performance, high availability, or disaster recovery. While storage virtualization has been the basis for many storage service management optimizations, the relatively stable environments of enterprise IT enabled all management activity to proceed in the context of change processes on specialized storage controllers. Completely virtualized environments require frequent topological changes but also enable optimized resource usage across shared resource pools. This enables lower resource and service management costs if the right storage service management architecture is deployed. This chapter focuses on cloud service management from a storage perspective, providing a set of proven methods and services to optimize storage resource usage and the management architecture that enables them.

Resource and service management architecture of a low capacity network for smart spaces

2012 ◽  
Vol 58 (2) ◽  
pp. 389-396 ◽  
Author(s):  
Sachin Bhardwaj ◽  
Tanir Ozcelebi ◽  
Johan Lukkien ◽  
Cagri Uysal
Keyword(s):  
Service Management ◽  
Smart Spaces ◽  
Management Architecture

Research of Public Service Platform Based on Cloud Computing for Middle Size Enterprises

2014 ◽  
Vol 989-994 ◽  
pp. 5498-5503
Author(s):  
Chun Xiao Wang ◽  
Ying Guo ◽  
Xiu Gang Guo
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Public Service ◽  
Service Management ◽  
Cloud Service ◽  
Cloud Services ◽  
Information Support ◽  
Enterprise Management ◽  
Service Platform ◽  
Development Lifecycle

Based on the research in cross-regional resource scheduling and massive data storage, the article built public service platform including IaaS, PaaS and SaaS. It provided all kinds of management software and business software for middle size enterprise users, and provided the development, testing, deployment platform for software vendors, and provided unified resource management, monitoring and maintenance for platform operators which finally become cloud service platform to support enterprise management and software development lifecycle. This helps to form a self-loop and self-development cloud computing ecosystem, to form the linkage of cloud services production, cloud services consumption and cloud service management, and to provide comprehensive information support for the growth and development of middle size enterprise.

Research of Distributional Ecology Cloud-Structure

2013 ◽  
Vol 760-762 ◽  
pp. 1758-1761
Author(s):  
Ji Ming Lan ◽  
Shu Jie Lu ◽  
Li Ming Zhang
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Real Time ◽  
Service Management ◽  
Cloud Model ◽  
Cloud Service ◽  
Cloud Environment ◽  
Cloud Structure ◽  
Mass Data ◽  
Multiple Dimension

Proposed that idea of cloud computing ecology development, supports and guiding cloud model deployment, the cloud service management and Clouds protocols observes the purification of mix cloud environment. Has designed the multiple dimension data saving structure and real-time mass-data processing of model as well as the asynchronous overall construction distributional ecology cloud structure. It has been shown that this ecology cloud structure is healthy.

Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments

2016 ◽  
Author(s):  
Göran Adamson ◽  
Lihui Wang ◽  
Magnus Holm ◽  
Philip Moore
Keyword(s):  
Resource Sharing ◽  
Service Management ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Manufacturing Equipment ◽  
Control Approach ◽  
Function Block ◽  
Feature Based ◽  
Cloud Environments ◽  
Manufacturing Resources

The ideas of on-demand, scalable and pay-for-usage resource-sharing in Cloud Manufacturing are steadily attracting more interest. For implementing the concept of Manufacturing-as-a-Service in a cloud environment, description models and implementation language for resources and their capabilities are required. A standardized approach for systemized virtualization, servisilisation, retrieval, selection and composition into higher levels of functionality is necessary. For the collaborative sharing and use of networked manufacturing resources there is also a need for a control approach for distributed manufacturing equipment. In this paper, the technological perspective for an adaptive cloud service-based control approach is described, and a supporting information model for its implementation. The control is realized through the use of a network of intelligent and distributable Function Block decision modules, enabling run-time manufacturing activities to be performed according to actual manufacturing conditions. The control system’s integration to the cloud service management functionality is described, as well as a feature-level capability model and the use of ontologies and the Semantic Web.

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