scholarly journals Service Level Agreement Violations in Cloud Storage: Insurance and Compensation Sustainability

2019 ◽  
Vol 11 (7) ◽  
pp. 142 ◽  
Author(s):  
Loretta Mastroeni ◽  
Alessandro Mazzoccoli ◽  
Maurizio Naldi
Keyword(s):  
Cloud Storage ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Insurance Premium ◽  
Cloud Services ◽  
Cloud Provider ◽  
Profit Margins ◽  
Cloud Providers ◽  
Qos Metrics

Service Level Agreements are employed to set availability commitments in cloud services. When a violation occurs as in an outage, cloud providers may be called to compensate customers for the losses incurred. Such compensation may be so large as to erode cloud providers’ profit margins. Insurance may be used to protect cloud providers against such a danger. In this paper, closed formulas are provided through the expected utility paradigm to set the insurance premium under different outage models and QoS metrics (no. of outages, no. of long outages, and unavailability). When the cloud service is paid through a fixed fee, we also provide the maximum unit compensation that a cloud provider can offer so as to meet constraints on its profit loss. The unit compensation is shown to vary approximately as the inverse square of the service fee.

SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services

2013 ◽  
Vol 660 ◽  
pp. 196-201 ◽  
Author(s):  
Muhammad Irfan ◽  
Zhu Hong ◽  
Nueraimaiti Aimaier ◽  
Zhu Guo Li
Keyword(s):  
Cloud Computing ◽  
Computer Science ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Computing Services ◽  
Cloud Service Providers ◽  
Cloud Computing Services

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

scholarly journals Priority-Based Virtual Machine Selection Algorithm in Cloud Computing

2019 ◽  
Vol 8 (3) ◽  
pp. 1457-1462
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Service Provider

Cloud computing technology has gained the attention of researchers in recent years. Almost every application is using cloud computing in one way or another. Virtualization allows running many virtual machines on a single physical computer by sharing its resources. Users can store their data on datacenter and run their applications from anywhere using the internet and pay as per service level agreement documents accordingly. It leads to an increase in demand for cloud services and may decrease the quality of service. This paper presents a priority-based selection of virtual machines by cloud service provider. The virtual machines in the cloud datacenter are configured as Amazon EC2 and algorithm is simulated in cloud-sim simulator. The results justify that proposed priority-based virtual machine algorithm shortens the makespan, by 11.43 % and 5.81 %, average waiting time by 28.80 % and 24.50%, and cost of using the virtual machine by 21.24% and 11.54% as compared to FCFS and ACO respectively, hence improving quality of service.

Carrier-Grade Distributed Cloud Computing

2013 ◽  
pp. 264-281
Author(s):  
Dapeng Wang ◽  
Jinsong Wu
Keyword(s):  
Cloud Computing ◽  
Service Level Agreement ◽  
Cost Effective ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Key Issues ◽  
Security Network ◽  
Distributed Cloud

This chapter discusses and surveys the concepts, demands, requirements, solutions, opportunities, challenges, and future perspectives and potential of Carrier Grade Cloud Computing (CGCC). This chapter also introduces a carrier grade distributed cloud computing architecture and discusses the benefits and advantages of carrier grade distributed cloud computing. Unlike independent cloud service providers, telecommunication operators may integrate their conventional communications networking capabilities with the new cloud infrastructure services to provide inexpensive and high quality cloud services together with their deep understandings of, and strong relationships with, individual and enterprise customers. The relevant design requirements and challenges may include the performance, scalability, service-level agreement management, security, network optimization, and unified management. The relevant key issues in CGCC designs may include cost effective hardware and software configurations, distributed infrastructure deployment models, and operation processes.

scholarly journals Analysis of Risks and Security Requirements in Public Cloud

2018 ◽  
Vol 7 (3.27) ◽  
pp. 223
Author(s):  
A Banushri ◽  
R A. Karthika
Keyword(s):  
Service Level Agreement ◽  
Service Level ◽  
Cloud Services ◽  
Security Requirements ◽  
Cloud Provider ◽  
Public Cloud ◽  
Risk Levels ◽  
Lock In ◽  
Cloud Implementation ◽  
A Company

To enjoy the full benefits of cloud computing, it is necessary to have built-in security, privacy, compliance and legal requirements for the cloud implementation and use. Each industry has its own risk levels that it could work within. A company, which is planning to use public cloud services, should be conscious of the regulations and industry risks and need to monitor it and abide by the same. This is due to multi-tenant and open to all nature of public cloud. A thorough risk analysis must be done initially with a public cloud provider. The main objective is to identify the existing vulnerabilities and to implement the measures to counter those threats. There are a variety of risks such as vendor lock-in, non-compliance, poor provisioning, unauthorized access, loss of control, Service Level Agreement (SLA) violations, Internet attacks, etc. To alleviate the risks, there are several measures that could be deployed. This paper deals with mitigation mechanism, security requirements and various risks associated with public cloud.  

An Adaptive Service Monitoring System in a Cloud Computing Environment

2020 ◽  
Vol 12 (2) ◽  
pp. 47-63
Author(s):  
Sathiyamoorthy E. ◽  
Karthikeyan P
Keyword(s):  
Cloud Computing ◽  
Rapid Development ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Environment ◽  
Computing Environment ◽  
Time Duration ◽  
Cloud Computing Environment

Cloud computing is a trending area of information technology (IT). In a cloud environment, the Cloud service provider (CSP) provides all the functionalities to the users or customers in terms of services. With the rapid development of cloud computing, the performance of any cloud environment relies on the quality of services (QoS) at the time of providing the services. A service level agreement (SLA) increases the confidence of the user or customer to use the cloud services in a cloud environment. There should be negotiation between the CSP and users to achieve a strong SLA. Many existing SLA models are already developed. However, these models do not concentrate to maintain the quality in a long-time duration period. To solve this issue, a novel SLA model has been proposed in this article by using Fuzzy logic. Both the theoretical and simulation results show the proficiency of the proposed scheme over the existing schemes in a cloud computing environment.

A Secure Cloud Computing Scaling Model

2013 ◽  
Vol 411-414 ◽  
pp. 60-66
Author(s):  
Ming Yue Lei ◽  
Zheng Huang ◽  
Qiao Yan Wen ◽  
Chun Ye Hu
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Security Issue ◽  
Cloud Data ◽  
Secure Cloud Computing ◽  
And Performance ◽  
Improve Service Quality

Since many Internet enterprises employ the computing resources provided by Cloud Service Provider (CSP), how to dynamically adjust the number of rented servers and improve service quality becomes a crucial subject. A lot of efforts have been made to achieve intelligent energy saving capacity adjustment but scarcely any of them takes the security issue of cloud data into account. In this paper, we focus on the cloud storage security in the cloud computing capacity scaling. We design the security part of the whole model based on the idea of Proofs of Retrievability (POR). In the scaling part of the model, we determine the scaling strategy according to email server instances CPU utilization. With simulation and performance evaluation, we conclude that the designed model is able to enable verifier to check the integrity of the information in the cloud storage and maintain satisfied response time target within Service Level Agreement (SLA).

scholarly journals Hybrid Cloud SLAs for Industry 4.0: Bridging the Gap

2020 ◽  
Vol 4 (5) ◽  
pp. 41-60
Author(s):  
Lubna Luxmi Dhirani ◽  
Thomas Newe
Keyword(s):  
Industry 4.0 ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Public And Private ◽  
Security Issues ◽  
Cloud Models ◽  
Industrial Iot

Hybrid Cloud Service Level Agreements (SLA) comprises of the legal terms and conditions for the cloud contract. Even though all the service level objectives, metrics and service descriptions are clearly outlined in the cloud SLA contract, sometimes vendors fail to meet the promised services and confusing terms lead to tenant-vendor cloud legal battles. Hybrid Cloud involves two different cloud models (public and private) working together, applications running under the hybrid cloud are subject to different availability sets, functionality and parameters developing SLA complexity and ambiguity. The new manufacturing environment (Industry 4.0 concept) is based on a fully connected, intelligent and automated factory, which will highly be dependent on cloud computing and IoT-based solutions for data analytics, storage and computational needs. In situations where Hybrid cloud services are not defined and managed properly may result in Industrial-IoT data security issues leading to financial and data losses. This paper discusses various aspects of the cloud service level agreement in Industry 4.0 for better understanding and implementation and puts a light on the issues that arise out of imprecise statements.

Carrier-Grade Distributed Cloud Computing

2015 ◽  
pp. 1981-1998
Author(s):  
Dapeng Wang ◽  
Jinsong Wu
Keyword(s):  
Cloud Computing ◽  
Service Level Agreement ◽  
Cost Effective ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Key Issues ◽  
Security Network ◽  
Distributed Cloud

This chapter discusses and surveys the concepts, demands, requirements, solutions, opportunities, challenges, and future perspectives and potential of Carrier Grade Cloud Computing (CGCC). This chapter also introduces a carrier grade distributed cloud computing architecture and discusses the benefits and advantages of carrier grade distributed cloud computing. Unlike independent cloud service providers, telecommunication operators may integrate their conventional communications networking capabilities with the new cloud infrastructure services to provide inexpensive and high quality cloud services together with their deep understandings of, and strong relationships with, individual and enterprise customers. The relevant design requirements and challenges may include the performance, scalability, service-level agreement management, security, network optimization, and unified management. The relevant key issues in CGCC designs may include cost effective hardware and software configurations, distributed infrastructure deployment models, and operation processes.

Testing Web Services in the Cloud

2012 ◽  
pp. 136-173 ◽  
Author(s):  
Harry M. Sneed
Keyword(s):  
Web Services ◽  
Service Oriented Architecture ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Individual Development ◽  
Service Oriented ◽  
Actual Profile ◽  
Interface Definition

Cloud Computing makes it possible for users to access a wide range of web services in the public domain and to embed these global services in their local applications. This promises to save a significant amount of individual development cost. The biggest obstacle to using this technology is the problem of trust. To gain trust in the services offered they have to be extensively tested, either by the user himself or by a trusted agent. This chapter deals with the testing of web services in the cloud. There are many similarities to testing web services in a local service-oriented architecture, but there are also significant differences. In a company specific SOA, testers can gain access to the source. This is not true of the cloud. There is no possibility of accessing the source. Therefore, testers must rely solely on the specification contained in the service level agreement – SLA – and the web service interface definition – WSDL or REST – to base their test upon. Testing in the cloud is strictly a black-box test. The goal of a cloud service test is also not to find errors but to assess the suitability of the service to the purpose of the user. It may be necessary to test several services in order to find that one best suited to the requirements of the user. To judge suitability it is necessary to define an ideal usage profile, including performance, security and other non-functional criteria, and to compare that with the actual profile of each potential service. For this both static and dynamic analysis methods must be applied. The chapter presents an automated approach to assessing cloud services and selecting that one most suitable to the user’s application.

Combined Preference Ranking Algorithm for Comparing and Initial Ranking of Cloud Services

2020 ◽  
Vol 13 (2) ◽  
pp. 260-275
Author(s):  
Abdul Qadir Md ◽  
Varadarajan Vijayakumar
Keyword(s):  
Trust Management ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Selection ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Preference Ranking ◽  
Ranking Algorithm ◽  
Management Architecture

Background: With the immense significance of cloud computing over the decade, different IT companies offer varieties of cloud services. Objective: The selection of cloud services from the expanding range of Cloud Service Providers (CSPs) makes it difficult for the Cloud Consumers (CCs) to choose a CSP based on their preferences. Methods: In this context, this paper proposes an efficient trust management architecture for cloud service selection and put forward Combined Preference Ranking Algorithm (CPRA) for initial ranking of CSPs and their services before doing any transaction in the past based on CCs requirements. Results: The proposed trust management architecture prompts the CSPs to improve the Quality of Service (QoS) by adhering to Service Level Agreement (SLA). Conclusion: The experimental results show that compared with other ranking approaches CPRA generates the accurate ranking list of CSPs with minimal execution time.

Sign in / Sign up

Export Citation Format

Share Document