Dominant quality of service fair allocation with bounded number of tasks in cloud computing systems

2016 ◽  
Vol 2 (3/4) ◽  
pp. 277
Author(s):  
Shilu Jiang ◽  
Qizheng Cao ◽  
Dongmin Zhuang
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Fair Allocation ◽  
Computing Systems ◽  
Bounded Number

scholarly journals A Speculative Model to Explore Data Hub and Quality of Service in IAAS Cloud Computing Systems

2020 ◽  
Vol 8 (5) ◽  
pp. 4073-4079
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Working Conditions ◽  
Heterogeneous Systems ◽  
Computing Systems ◽  
Cloud Server ◽  
Field Experimentation ◽  
The One ◽  
Major Factors

Cloud server ranch the specialists is a key issue in context on the one of a kind and heterogeneous systems that can be applied, associating from the VM circumstance to the union with various fogs. Execution appraisal of dissipated figuring establishments is required to predict and assess the cash sparing favored circumstance of a framework portfolio and the relating thought of affiliation experienced by customers. The experience of the customers accepts a crucial activity to envision the structure utilized. Such assessments are not practical by reenactment or on the field experimentation, by ethicalness of the fantastic number of parameters that must be investigated. In this work, a logical model is presented, considering Stochastic Prize Nets (SRNs), that is both versatile to show structures made out of thousands of benefits and versatile to address different methodologies and cloud-express systems. A couple of display estimations are portrayed and evaluated to investigate the lead of a cloud server ranch: use, openness, holding up time, and responsiveness. These estimated attributes are concerned to be major factors for assessing the performance analysis of the system. An adaptability examination is also given to consider load impacts. Finally, a usual philosophy is shown that, starting from the possibility of system limit, can help structure managers to fortunately set the server ranch parameters under different working conditions. These conditions are said to be feasible for the functioning of the system without any hassles.

scholarly journals On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1400
Author(s):  
Muhammad Adnan ◽  
Jawaid Iqbal ◽  
Abdul Waheed ◽  
Noor Ul Amin ◽  
Mahdi Zareei ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Scheduling Algorithm ◽  
Main Research ◽  
First Come First Serve ◽  
Computing Framework ◽  
Simulation Results

Modern vehicles are equipped with various sensors, onboard units, and devices such as Application Unit (AU) that support routing and communication. In VANETs, traffic management and Quality of Service (QoS) are the main research dimensions to be considered while designing VANETs architectures. To cope with the issues of QoS faced by the VANETs, we design an efficient SDN-based architecture where we focus on the QoS of VANETs. In this paper, QoS is achieved by a priority-based scheduling algorithm in which we prioritize traffic flow messages in the safety queue and non-safety queue. In the safety queue, the messages are prioritized based on deadline and size using the New Deadline and Size of data method (NDS) with constrained location and deadline. In contrast, the non-safety queue is prioritized based on First Come First Serve (FCFS) method. For the simulation of our proposed scheduling algorithm, we use a well-known cloud computing framework CloudSim toolkit. The simulation results of safety messages show better performance than non-safety messages in terms of execution time.

scholarly journals Provisioning Quality of Service for Multimedia Applications in Cloud Computing

2018 ◽  
Vol 10 (5) ◽  
pp. 40-47 ◽  
Author(s):  
Muhammad Usman Ashraf ◽  
◽  
Sabah Arif ◽  
Abdul Basit ◽  
Malik Sheraaz Khan
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Multimedia Applications

Modeling And Analyzing Cloud Auto-Scaling Mechanism Using Stochastic Well-Formed Coloured Nets

2021 ◽  
Author(s):  
Mohamed M. Ould Deye ◽  
Mamadou Thiongane ◽  
Mbaye Sene
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Service Level ◽  
The State ◽  
Service Level Agreements ◽  
Auto Scaling

Auto-scaling is one of the most important features in Cloud computing. This feature promises cloud computing customers the ability to best adapt the capacity of their systems to the load they are facing while maintaining the Quality of Service (QoS). This adaptation will be done automatically by increasing or decreasing the amount of resources being leveraged against the workload’s resource demands. There are two types and several techniques of auto-scaling proposed in the literature. However, regardless the type or technique of auto-scaling used, over-provisioning or under-provisioning problem is often observed. In this paper, we model the auto-scaling mechanism with the Stochastic Well-formed coloured Nets (SWN). The simulation of the SWN model allows us to find the state of the system (the number of requests to be dispatched, the idle times of the started resources) from which the auto-scaling mechanism must be operated in order to minimize the amount of used resources without violating the service-level agreements (SLA).

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