Software-defined networks for resource allocation in cloud computing: A survey
نویسندگان
چکیده
• A comprehensive literature review of pertinent studies on resource allocation in cloud computing based software defined networks. Thematic taxonomy for classifying current software-defined networks computing. Lesson learned from in-depth critical proposed taxonomy. Major future trends are discussed SDN adaptation the environment. Cloud has a shared set resources, including physical servers, networks, storage, and user applications. Resource is issue computing, especially Infrastructure-as-a-Service (IaaS). The decision-making process network non-trivial as it handled by switches routers. Moreover, concept drifts resulting changing demands among problems affecting data center needs agile elastic control functions with resources to ensure proper virtual machine (VM) operations, traffic performance, energy conservation. Software-Defined Network (SDN) proffers new opportunities blueprint management handle services while dynamically updating requirements running VMs. inclusion an managing infrastructure better empowers making easier allocate resources. In this survey, we discuss survey SDN. It noted that various related did not contain all required requirements. This study intended enhance mechanisms involve both domains. Consequently, analyze utilized researchers; categorize evaluate them measured parameters presented. also contributes understanding core research will allow researchers obtain further information about possible strategies relevant IaaS allocation.
منابع مشابه
A review of methods for resource allocation and operational framework in cloud computing
The issue of management and allocation of resources in cloud computing environments, according to the breadth of scale and modern technology implementation, is a complicated issue. Issues such as: the heterogeneity of resources, resource dependencies to each other, the dynamics of the environment, virtualization, workload diversity as well as a wide range of management objectives of cloud servi...
متن کاملAn Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment
Nowadays, processing large-media healthcare data in the cloud has become an effective way of satisfying the medical userschr('39') QoS (quality of service) demands. Providing healthcare for the community is a complex activity that relies heavily on information processing. Such processing can be very costly for organizations. However, processing healthcare data in cloud has become an effective s...
متن کاملA Survey of Resource Allocation Techniques in Cloud Computing
---Nowadays Cloud Computing is considered as one of the emerging areas in the various fields related to computer science in one way or another. Itdeals with on demand dynamic resource allocation for providing reliable and guaranteed services to the consumer.It is based on pay-as-you-use model to public. Resource allocation is performed with the objective of minimizing the costs related with it....
متن کاملA Survey on Scheduling Based Resource Allocation in Cloud Computing
Cloud computing is the next generation of technology which unifies everything into one. It is an on demand service because it offers dynamic flexible resource allocation for reliable and guaranteed services in pay as-you-use manner to public. In Cloud computing multiple cloud users can request number of cloud services simultaneously. So there must be a provision that all resources are made avai...
متن کاملFRA-PSO: A two-stage Resource Allocation Algorithm in Cloud Computing
Cloud computing gives a large quantity of processing possibilities and heterogeneous resources, meeting the prerequisites of numerous applications at diverse levels. Therefore, resource allocation is vital in cloud computing. Resource allocation is a technique that resources such as CPU, RAM, and disk in cloud data centers are divided among cloud users. The resource utilization, cloud service p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Networks
سال: 2021
ISSN: ['1872-7069', '1389-1286']
DOI: https://doi.org/10.1016/j.comnet.2021.108151