scholarly journals Availability Modeling of Computing Systems with Virtual Architectures

2021 ◽  
Author(s):  
Ricardo Paharsingh
Keyword(s):  
Response Time ◽  
Virtual Machines ◽  
High Availability ◽  
Software Systems ◽  
Cloud Provider ◽  
Computing Systems ◽  
Computing Services ◽  
Processing Power ◽  
Cloud Computing Services ◽  
Availability Modeling

Cloud computing services are built on the premise of high availability. These services are sold to customers who are expecting a reduced cost particularly in the area of failures and maintenance. At the Infrastructure as a Service (IaaS) layer resources is sold to customers as virtual machines (VMs) with CPU and memory specifications. Both these resources are not necessarily guaranteed. This is because virtual machines can share the same hardware resources. If resources aren't allocated properly, one virtual machine for example, may use up too much CPU power reducing the processing power available to other virtual machines. This can result in response time failures. In this research a framework is developed that integrates hardware, software and response time failures. Response time failures occur when a request is made to a server and does not complete on time. The framework allows the cloud purchaser to test the system under stressed conditions, allocating more or less virtual machines to determine the availability of the system. The framework also allows the cloud provider to separately evaluate the availability of the hardware and other software systems.

scholarly journals Availability Modeling of Computing Systems with Virtual Architectures

2021 ◽  
Author(s):  
Ricardo Paharsingh
Keyword(s):  
Response Time ◽  
Virtual Machines ◽  
High Availability ◽  
Software Systems ◽  
Cloud Provider ◽  
Computing Systems ◽  
Computing Services ◽  
Processing Power ◽  
Cloud Computing Services ◽  
Availability Modeling

Cloud computing services are built on the premise of high availability. These services are sold to customers who are expecting a reduced cost particularly in the area of failures and maintenance. At the Infrastructure as a Service (IaaS) layer resources is sold to customers as virtual machines (VMs) with CPU and memory specifications. Both these resources are not necessarily guaranteed. This is because virtual machines can share the same hardware resources. If resources aren't allocated properly, one virtual machine for example, may use up too much CPU power reducing the processing power available to other virtual machines. This can result in response time failures. In this research a framework is developed that integrates hardware, software and response time failures. Response time failures occur when a request is made to a server and does not complete on time. The framework allows the cloud purchaser to test the system under stressed conditions, allocating more or less virtual machines to determine the availability of the system. The framework also allows the cloud provider to separately evaluate the availability of the hardware and other software systems.

Cloud Computing

2012 ◽  
Vol 3 (2) ◽  
pp. 51-59 ◽  
Author(s):  
Nawsher Khan ◽  
A. Noraziah ◽  
Elrasheed I. Ismail ◽  
Mustafa Mat Deris ◽  
Tutut Herawan
Keyword(s):  
Cloud Computing ◽  
High Availability ◽  
Cloud Environment ◽  
Network Resource ◽  
Business World ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Similarities And Differences ◽  
Comprehensive Classification ◽  
And Storage

Cloud computing is fundamentally altering the expectations for how and when computing, storage, and networking resources should be allocated, managed, consumed, and allow users to utilize services globally. Due to the powerful computing and storage, high availability and security, easy accessibility and adaptability, reliable scalability and interoperability, cost and time effective cloud computing is the top, needed for current fast growing business world. A client, organization or a trade that adopting emerging cloud environment can choose a well suitable infrastructure, platform, software, and a network resource, for any business, where each one has some exclusive features and advantages. The authors first develop a comprehensive classification for describing cloud computing architecture. This classification help in survey of several existing cloud computing services developed by various projects globally such as Amazon, Google, Microsoft, Sun and Force.com and by using this survey’s results the authors identified similarities and differences of the architecture approaches of cloud computing.

Cloud-Based Platforms and Infrastructures

2017 ◽  
pp. 47-90
Author(s):  
Marcus Tanque
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Cloud Service ◽  
Resource Provisioning ◽  
Virtual Networks ◽  
Network Resources ◽  
Computing Services ◽  
Service Models ◽  
Cloud Computing Services ◽  
Shared Network

Cloud computing consists of three fundamental service models: infrastructure-as-a-service, platform-as-a service and software-as-a-service. The technology “cloud computing” comprises four deployment models: public cloud, private cloud, hybrid cloud and community cloud. This chapter describes the six cloud service and deployment models, the association each of these services and models have with physical/virtual networks. Cloud service models are designed to power storage platforms, infrastructure solutions, provisioning and virtualization. Cloud computing services are developed to support shared network resources, provisioned between physical and virtual networks. These solutions are offered to organizations and consumers as utilities, to support dynamic, static, network and database provisioning processes. Vendors offer these resources to support day-to-day resource provisioning amid physical and virtual machines.

An Energy-efficient Virtual Machine Placement Algorithm based Service Level Agreement in Cloud Computing Environments

2017 ◽  
Vol 2 (6) ◽  
pp. 1-6
Author(s):  
Arash Mazidi ◽  
Elham Damghanijazi ◽  
Sajad Tofighy
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Service Level ◽  
Model Management ◽  
Time Data ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Placement Algorithm ◽  
Leading Enterprises

The cloud computing has given services to the users throughout the world during recent years. The cloud computing services have been founded according to ‘As-Pay-You-Go’ model and some leading enterprises give these services. The giving these cloud-computing services has been developed every day and these requirements necessitate for more infrastructures and Internet providers (IPs). The nodes of data centers consume a lot of energy in cloud structure and disseminate noticeable amount of carbon dioxide into the environment. We define a framework and structure for cloud environment of efficient energy in the present paper. We examine the present problems and challenges based on this structure and then present and model management algorithms and source allocation in cloud computing environment in order to manage energy in addition to considering Service Level Agreement. The proposed algorithm has been implemented by cloudsim simulator where the obtained results from simulation of real-time data indicate that the proposed method is superior to previous techniques in terms of energy consumption and observance of Service Level Agreement. Similarly, number of live migration of virtual machines and quantity of transferred data has been improved.

Cloud-Based Platforms and Infrastructures

2019 ◽  
pp. 84-126
Author(s):  
Marcus Tanque
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Cloud Service ◽  
Resource Provisioning ◽  
Virtual Networks ◽  
Network Resources ◽  
Computing Services ◽  
Service Models ◽  
Cloud Computing Services ◽  
Shared Network

Cloud computing consists of three fundamental service models: infrastructure-as-a-service, platform-as-a service and software-as-a-service. The technology “cloud computing” comprises four deployment models: public cloud, private cloud, hybrid cloud and community cloud. This chapter describes the six cloud service and deployment models, the association each of these services and models have with physical/virtual networks. Cloud service models are designed to power storage platforms, infrastructure solutions, provisioning and virtualization. Cloud computing services are developed to support shared network resources, provisioned between physical and virtual networks. These solutions are offered to organizations and consumers as utilities, to support dynamic, static, network and database provisioning processes. Vendors offer these resources to support day-to-day resource provisioning amid physical and virtual machines.

Trust, Privacy, Issues in Cloud-Based Healthcare Services

2016 ◽  
pp. 163-188
Author(s):  
Shweta Kaushik ◽  
Charu Gandhi
Keyword(s):  
Healthcare Services ◽  
Third Party ◽  
Cloud System ◽  
Cloud Provider ◽  
Security Issues ◽  
Computing Services ◽  
Data Owner ◽  
Cloud Computing Services ◽  
Patient’S Information ◽  
Privacy Issues

In recent era individuals and organizations are migrating towards the cloud computing services to store and retrieve the data or services. However, they have less confidence on cloud as all the task are handled by the service provider without any involvement of the data owner. Cloud system provides features to the owner, to store their data on some remote locations and allow only authorized users to access the data according to the role, access capability or attribute they possess. Storing the personal health records on cloud server (third party) is a promising model for healthcare services to exchange information with the help of cloud provider. In this chapter, we highlight the various security issues and concerns such as trust, privacy and access control in cloud based healthcare system that needs to be known while storing the patient's information over a cloud system.

scholarly journals Fog-based Spider Web Algorithm to Overcome Latency in Cloud Computing

2020 ◽  
pp. 1781-1790
Author(s):  
ABDUL RASHID DAR ◽  
D Ravindran ◽  
Shahidul Islam
Keyword(s):  
Cloud Computing ◽  
Web Applications ◽  
Virtual Machines ◽  
Fog Computing ◽  
Network Reduction ◽  
Spider Web ◽  
Network Bandwidth ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Cloud Users

The cloud-users are getting impatient by experiencing the delays in loading the content of the web applications over the internet, which is usually caused by the complex latency while accessing the cloud datacenters distant from the cloud-users. It is becoming a catastrophic situation in availing the services and applications over the cloud-centric network. In cloud, workload is distributed across the multiple layers which also increases the latency. Time-sensitive Internet of Things (IoT) applications and services, usually in a cloud platform, are running over various virtual machines (VM’s) and possess high complexities while interacting. They face difficulties in the consolidations of the various applications containing heterogenetic workloads. Fog computing takes the cloud computing services to the edge-network, where computation, communication and storage are within the proximity to the end-user’s edge devices. Thus, it utilizes the maximum network bandwidth, enriches the mobility, and lowers the latency. It is a futuristic, convenient and more reliable platform to overcome the cloud computing issues. In this manuscript, we propose a Fog-based Spider Web Algorithm (FSWA), a heuristic approach which reduces the delays time (DT) and enhances the response time (RT) during the workflow among the various edge nodes across the fog network. The main purpose is to trace and locate the nearest f-node for computation and to reduce the latency across the various nodes in a network. Reduction of latency will enhance the quality of service (QoS) parameters, smooth resource distribution, and services availability. Latency can be an important factor for resource optimization issues in distributed computing environments. In comparison to the cloud computing, the latency in fog computing is much improved.

scholarly journals Computer Forensics in Cloud Computing Systems

2019 ◽  
Vol 1 (1) ◽  
pp. 71-86
Author(s):  
Pedro Ramos Brandao
Keyword(s):  
Cloud Computing ◽  
Computer Forensics ◽  
Specific Context ◽  
Computing Systems ◽  
Computing Services ◽  
Cloud Computing Services ◽  
New Methodologies ◽  
Computer Forensic

The challenges on traditional Computer Forensic mythology in facing with the growing adoption of Cloud Computing services and models by corporations and organizations. We analyse the results of recent research in analysis of computers’ physical memory, new methodologies and tools, and how these technologies can be applied to computer forensics in this specific context.

Cloud Computing, Smart Technology, and Library Automation

2021 ◽  
pp. 685-703
Author(s):  
Lavoris Martin
Keyword(s):  
Cloud Computing ◽  
Library Services ◽  
Smart Technology ◽  
Computing Systems ◽  
Library Automation ◽  
Essential Component ◽  
Computing Services ◽  
Essential Tool ◽  
Cloud Computing Services

As technology continues to change, the landscape of the work of librarians and libraries continue to adapt and adopt innovations that support their services. Technology also continues to be an essential tool for dissemination, retrieving, storing, and accessing the resources and information. Cloud computing is an essential component employed to carry out these tasks. The concept of cloud computing has long been a tool utilized in libraries. Many libraries use OCLC to catalog and manage resources and share resources, WorldCat, and other library applications that are cloud-based services. Cloud computing services are used in the library automation process. Using cloud-based services can streamline library services, minimize cost, and the need to have designated space for servers, software, or other hardware to perform library operations. Cloud computing systems with the library consolidate, unify, and optimize library operations such as acquisitions, cataloging, circulation, discovery, and retrieval of information.

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