Research on Resource Scheduling in Cloud Computing: Issues and Solutions

2014 ◽  
Vol 644-650 ◽  
pp. 1801-1804
Author(s):  
Hui Suo ◽  
He Hua Yan

.Resource scheduling is the core technology to provide efficient and reliable services in cloud computing, and it is the basis of cloud computing to implement quick deploy and rapid response and save money. This article firstly introduces the research status of the resource scheduling in cloud computing including resource scheduling policies, replica technology and metadata management. Next we analyze the issues of Hadoop platform in resource scheduling including high latency, small files I/O, single point of failure and hot data. On the basis of these, the effective resource scheduling and management mechanisms are given including dynamic replica management, metadata management and horizontal scalability.

2014 ◽  
Vol 513-517 ◽  
pp. 1332-1336 ◽  
Author(s):  
Ying Yidu Xiong ◽  
Yan Yan Wu

Resource schedule Strategy is the core technology of cloud computing. PSO algorithm is one of dynamic adaptation resource scheduling algorithms to cloud computing. The virtual machines and the hosts can be scheduled reasonable by adjusting parameters. The resource can be scheduled quickly because of the dynamic trend calculation of PSO algorithm, to ensure real-time of the Cloud Calculation.


Author(s):  
Yiping Yang ◽  
Yue Qiu ◽  
Xi Zhang

This chapter introduces a model of “Problem refining + Paper presented + Project application + Software development + Patent declaration” on the basis of teaching practice and scientific research for many years. This is a mode of researching and practicing on engineering courses based on cloud computing. The main goal is to help students to understand and grasp the core technology of engineering courses. The employment situation of engineering graduates is very serious, while enterprise is lack of engineering employees that can be used. The reason lies in talent training problems. And this model can help us improve the teaching quality. In order to get the market recognition, meet the demands of the development of future work, and obtain competitive ability of quality control, the mode should be modeled and systematic.


2013 ◽  
Vol 760-762 ◽  
pp. 190-193
Author(s):  
Ya Jing Wang ◽  
Ya Zhen Li ◽  
Jing Guan

MIMO and OFDM technology is the core technology of 4G network, and have great development prospects. The main drawback of MIMO-OFDM system is the high PAPR. This paper is based on Cross-antenna rotation and inversion and Active Constellation Extension. The paper proposed the joint algorithm to reduce PAPR in STBC MIMO-OFDM system. It makes use of time, space and frequency freedom to improve the PAPR performance. The simulation results show that the joint algorithm can effectively reduce the PAPR value and do not increase the bit error rate in STBC MIMO-OFDM system.


2018 ◽  
Vol 8 (2) ◽  
pp. 47-65 ◽  
Author(s):  
Ubaidullah Alias Kashif ◽  
Zulfiqar Ali Memon ◽  
Shafaq Siddiqui ◽  
Abdul Rasheed Balouch ◽  
Rakhi Batra

This article describes how the enormous potential benefits provided by the cloud services, made enterprises to show huge interest in adopting cloud computing. As the service provider has control over the entire data of an organization stored onto the cloud, a malicious activity, whether internal or external can tamper with the data and computation. This causes enterprises to lack trust in adopting services due to privacy, security and trust issues. Despite of having such issues, the consumer has no root level access right to secure and check the integrity of procured resources. To establish a trust between the consumer and the provider, it is desirable to let the consumer to check the procured platform hosted at provider side for safety and security. This article proposes an architectural design of a trusted platform for the IaaS cloud computing by the means of which the consumer can check the integrity of a guest platform. TCG's TPM is deployed and used on the consumer side as the core component of the proposed architecture and it is distributed between the service provider and the consumer.


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