DOBBS: A Highly Available Distributed Block Storage Service for Virtual Machines

2018 ◽  
Author(s):  
Ran Li ◽  
Haopeng Chen
Keyword(s):  
Virtual Machines ◽  
Storage Service ◽  
Block Storage

scholarly journals Advanced features of the CERN OpenStack Cloud

2019 ◽  
Vol 214 ◽  
pp. 07026
Author(s):  
José Castro León
Keyword(s):  
Virtual Machines ◽  
Bare Metal ◽  
Ongoing Work ◽  
Service Components ◽  
Block Storage ◽  
Container Orchestration

The CERN OpenStack cloud has been delivering a wide variety of services to the whole laboratory since it entered in production in 2013. Initially, standard resources such as Virtual Machines and Block Storage were offered. Today, the cloud offering includes advanced features such as Container Orchestration (for Kubernetes, Docker Swarm mode, Mesos/DCOS clusters), File Shares and Bare Metal, and the Cloud team is preparing the addition of Networking and Workflow-as-a-Service components. In this paper, we will describe these advanced features, the OpenStack projects that provide them, as well as some of the main usecases that benefit from them. We will show the ongoing work on those services that will increase functionality, such as container orchestration upgrades and networking features such as private networks and floating IPs.

scholarly journals Building an organic block storage service at CERN with Ceph

2014 ◽  
Vol 513 (4) ◽  
pp. 042047 ◽  
Author(s):  
Daniel van der Ster ◽  
Arne Wiebalck
Keyword(s):  
Storage Service ◽  
Block Storage

scholarly journals Prototipo IaaS para el estudio del almacenamiento en bloque basado en Cinder

2019 ◽  
pp. 21-26
Author(s):  
Dennise Ivonne Gallardo-Alvarez ◽  
Juan Pablo Razón-González ◽  
Israel Durán-Belman ◽  
Juan Antonio Magdaleno Zavala
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Virtual Machines ◽  
The Other ◽  
Cloud Platform ◽  
Test Environment ◽  
New Era ◽  
Key Factor ◽  
Evolution Of Technology ◽  
Block Storage

The evolution of technology towards a new era of agile and dynamic workflows in the topic of cloud computing has resulted in professionals in Information Technology deepening in the study of tools or mechanisms that optimize the storage and data security; on the other hand, for companies that increasingly handle a larger volume of data to develop their activity, having these tools has become a key factor today. In this work is present the study of the Cinder component of the OpenStack platform, as a block storage tool that is associated with virtual machines or instances; is presented the deployment of a cloud platform of the IaaS model (Infrastructure as a Service) in a test environment, following the first four phases of the PDIOO methodology proposed by Cisco Systems; and the results that demonstrate the persistent storage of information through the use of said component are presented.

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

Pengakuan Pendapatan dan Biaya dalam Kaitannya dengan Penentuan Laba Perusahaan Ekspedisi (Studi Kasus pada PT. EMKL Jelutung Subur)

2019 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Yuli Anwar
Keyword(s):  
Accounting Standards ◽  
Financial Accounting ◽  
Recognition Method ◽  
Important Thing ◽  
Storage Service ◽  
Long Time ◽  
Accrual Basis

Revenue and cost recognitions is the most important thing to be done by an entity,  time and the recognition method must be based on the rules from Financial Accounting Standards. Revenue and cost recognition which is done by PT. EMKL Jelutung Subur located on Pangkalpinang, Bangka Belitung province is done by using the accrual basis, and it can be seen with its influences to company profits every year.  This research is useful to get a data and information for preparing this thesis and improving my knowledge and also for comparing between theories accepted against facts applied in the field.  The result of this research shows that PT. EMKL Jelutung Subur has implemented one of the revenue and cost recognition method (accrual basis) continually, so that profit accuracy is accountable to be used for developing this kind of expedition business in order to become a better company. The accuracy is evaluated because all revenues received and cost spent  have clear evidence and found in the period of time.  The evaluation shows there is one thing that miss from revenue and cost recognition done by PT. EMKL Jelutung Subur, that is charge to the customers who use the storage service temporary, because some customers keep their goods for a long time in the warehouse, and it will increase the costs of loading, warehouse maintenance, damaged goods and decreasing a quantity of goods. If the storage service is charged to the customers, PT. EMKL Jelutung Subur will earn additional revenue to cover all the expenses above

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