SLA Management in Storage Clouds

2013 ◽  
pp. 72-93 ◽  
Author(s):  
Nikoletta Mavrogeorgi ◽  
Spyridon V. Gogouvitis ◽  
Athanasios Voulodimos ◽  
Vasilios Alexandrou
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Geographic Location ◽  
Service Level ◽  
Service Level Agreements ◽  
Cloud Providers ◽  
Cloud Environments ◽  
Computing Environments ◽  
Sla Management ◽  
Online Storage

The need for online storage and backup of data constantly increases. Many domains, such as media, enterprises, healthcare, and telecommunications need to store large amounts of data and access them rapidly any time and from any geographic location. Storage Cloud environments satisfy these requirements and can therefore provide an adequate solution for these needs. Customers of Cloud environments do not need to own any hardware for storing their data or handle management tasks, such as backups, replication levels, etc. In order for customers to be willing to move their data to Cloud solutions, proper Service Level Agreements (SLAs) should be offered and guaranteed. SLA is a contract between the customer and the service provider, where the terms and conditions of the offered service are agreed upon. In this chapter, the authors present existing SLA schemas and SLA management mechanisms and compare various features that Cloud providers support with existing SLAs. Finally, they address the problem of managing SLAs in cloud computing environments exploiting the content term that concerns the stored objects, in order to provide more efficient capabilities to the customer.

A Cloud Architecture for Service Security Management

2013 ◽  
Vol 416-417 ◽  
pp. 1413-1417
Author(s):  
Wen Zhe Jiao ◽  
Xiao Xue Ye
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Security Management ◽  
Service Level ◽  
Data Service ◽  
Service Level Agreements ◽  
Security Issues ◽  
Cloud Architecture ◽  
Computing Environments ◽  
Data Auditing

Cloud computing is revolutionizing how resources and services are used and managed, but the revolution comes with new security problems. This paper identifies current security issues in cloud computing environments. To manage service security, we propose a new architecture based on Service Level Agreements (SLAs). To ensure the integrity of data service and relieve the security concerns of users, we implement a new data auditing algorithm in this architecture. Furthermore, we present four-layer cryptography analysis to ensure data security.

rSLA: An Approach for Managing Service Level Agreements in Cloud Environments

2017 ◽  
Vol 26 (02) ◽  
pp. 1742003 ◽  
Author(s):  
Mohamed Mohamed ◽  
Obinna Anya ◽  
Samir Tata ◽  
Nagapramod Mandagere ◽  
Nathalie Baracaldo ◽  
...  
Keyword(s):  
Service Level ◽  
Cloud Services ◽  
Service Level Agreements ◽  
It Services ◽  
Levels Of Abstraction ◽  
Cloud Providers ◽  
Cloud Environments ◽  
Set Up ◽  
Main Components ◽  
Heterogeneous Cloud

Cloud providers offer services at different levels of abstraction from infrastructure to applications. The quality of Cloud services is a key determinant of the overall service level a provider offers to its customers. Service Level Agreements (SLAs) are (1) crucial for Cloud customers to ensure that promised levels of services are met, (2) an important sales instrument and (3) a differentiating factor for providers. Cloud providers and services are often selected more dynamically than in traditional IT services, and as a result, SLAs need to be set up and their monitoring implemented to match the same speed. In this context, managing SLAs is complex: different Cloud providers expose different management interfaces and SLA metrics differ from one provider to another. In this paper, we will analyze how IT service quality has been defined and managed over time, discuss how to manage SLAs in today’s multi-layer, multi-sourced Cloud environments, and what to expect going forward. A particular focus will be made on the rSLA framework that enables fast setup of SLA monitoring in dynamic and heterogeneous Cloud environments. The rSLA framework is made up of three main components: the rSLA language to formally represent SLAs, the rSLA Service, which interprets the SLAs and implements the behavior specified in them, and a set of Xlets-lightweight, dynamically bound adapters to monitoring and controlling interfaces. rSLA has been tested in the context of a real pilot and found to reduce the client on-boarding process from months to weeks.

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).

Information Stewardship in Cloud Computing

2012 ◽  
pp. 185-202
Author(s):  
David Pym ◽  
Martin Sadler
Keyword(s):  
Mathematical Model ◽  
Cloud Computing ◽  
System Design ◽  
Service Providers ◽  
Cost Savings ◽  
Service Level ◽  
Information Services ◽  
Significant Part ◽  
Service Level Agreements ◽  
Economic Technology

Cloud computing ecosystems of service providers and consumers will become a significant part of the way information services are provided, allowing more agile coalitions, cost savings and improved service delivery. Existing approaches to information security do not readily extend to this complex multi-party world. The authors argue for a mathematical model-based framework for the analysis and management of information stewardship that makes explicit both the expectations and responsibilities of cloud stakeholders and the design assumptions of systems. Such a framework supports integrated economic, technology, and behavioural analyses, so providing a basis for a better understanding of the interplay between preferences, policies, system design, regulations, and Service Level Agreements. The authors suggest approaches to constructing economic, technology, and behavioural models and discuss the challenges in integrating them.

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