An approach to identify and monitor SLA parameters for storage-as-a-service cloud delivery model

Ghosh, Nirnay; Ghosh, Soumya K.

doi:10.1109/glocomw.2012.6477664

Cited by 12 publications

(11 citation statements)

References 4 publications

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“…However, Truong et al propose this data contract for data and not to store data or to help the developer to choose the appropriate data stores for his application. In [22], Ghosh et al identify non-trivial parameters of the Service Level Agreement (SLA) for Storage-as-aService cloud which are not offered by the present day cloud vendors. Moreover, they propose a novel SLA monitoring framework to facilitate compliance checking of Service Level Objectives by a trusted third part.…”

Section: Related Workmentioning

confidence: 98%

“…Indeed, we find several works [19], [20], [21] [22] [23], [24] enabling an application to negotiate its Data Management Contract (DMC), often referred to as data agreement or data license, with various clouds and to bind to the specific DBMSs according to its DMC. Truong et al [19], [20], [21] propose to model and specify data concerns in data contracts to support concern-aware data selection and utilization.…”

Section: Related Workmentioning

confidence: 99%

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Supporting Multi Data Stores Applications in Cloud Environments

Sellami

Bhiri

Defude

2016

IEEE Trans. Serv. Comput.

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International audienceThe production of huge amount of data and the emergence of cloud computing have introduced new requirements for data management. Many applications need to interact with several heterogeneous data stores depending on the type of data they have to manage: traditional data types, documents, graph data from social networks, simple key-value data, etc. Interacting with heterogeneous data models via different APIs, and multiple data store applications imposes challenging tasks to their developers. Indeed, programmers have to be familiar with different APIs. In addition, the execution of complex queries over heterogeneous data models cannot, currently, be achieved in a declarative way as it is used to be with mono-data store application, and therefore requires extra implementation efforts. Moreover, developers need to master and deal with the complex processes of cloud discovery, and application deployment and execution. In this paper we propose an integrated set of models, algorithms and tools aiming at alleviating developers task for developing, deploying and migrating multiple data stores applications in cloud environments. Our approach focuses mainly on three points. First, we provide a unifying data model used by applications developers to interact with heterogeneous relational and NoSQL data stores. Based on that, they express queries using OPEN-PaaS-DataBase API (ODBAPI), a unique REST API allowing programmers to write their applications code independently of the target data stores. Second, we propose virtual data stores, which act as a mediator and interact with integrated data stores wrapped by ODBAPI. This run-time component supports the execution of single and complex queries over heterogeneous data stores. Finally, we present a declarative approach that enables to lighten the burden of the tedious and non-standard tasks of (1) discovering relevant cloud environment and (2) deploying applications on them while letting developers to simply focus on specifying their storage and computing requirements. A prototype of the proposed solution has been developed and is currently used to implement use cases from the OpenPaaS projec

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Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Supporting Multi Data Stores Applications in Cloud Environments

Sellami

Bhiri

Defude

2016

IEEE Trans. Serv. Comput.

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“…Thus, it optimizes the use of disk storage space and minimizes the back-end storage costs. Many research works [15,16,17] focuses on finding out the best aspect of the storage services in terms of finding out the SLA parameters to measure the quality of the StaaS providers. The research work [15] categorized the SLA parameters of storage services into two categories namely, trivial and non-trivial parameters based on Service Level Objectives (SLOs).…”

Section: Pr Actical Importance Of the Workmentioning

confidence: 99%

“…Many research works [15,16,17] focuses on finding out the best aspect of the storage services in terms of finding out the SLA parameters to measure the quality of the StaaS providers. The research work [15] categorized the SLA parameters of storage services into two categories namely, trivial and non-trivial parameters based on Service Level Objectives (SLOs). The trivial SLA parameter includes availability and the non-trivial parameters are fault tolerance, performance, disaster recovery, Security, Governance, Data Life Cycle Management and error rate.…”

Section: Pr Actical Importance Of the Workmentioning

confidence: 99%

A cognitive approach for evaluating the usability of Storage as a Service in Cloud Computing Environment

Roy

Pattnaik

Mall

2016

IJECE

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Cloud computing is a style of computing which thrives users requirements by delivering scalable, on-demand and pay-per-use IT services. It offers different service models, out of which Storage as a Service (StaaS) is the fundamental block of Infrastructure cloud that fulfills user’s excess demand of elastic computing resources. But considering the competitive business scenario choosing the best cloud storage provider is a difficult task. Thus, usability is considered to be the key performance indicator which evaluates the better cloud storage based on user’s satisfaction. This paper aims to focus on the usability evaluation of StaaS providers namely Google drive, Drop box and One drive. This paper proposed a fuzzy based AHP model for measuring user satisfaction. Usability evaluation is carried out based on user feedback through Interview and Questionnaire method. Analysis of user feedback is done based on the fuzzy approach in order to remove vaguness. Whereas, AHP model is used for measuring satisfaction degree of the different cloud storage services and it solves the problem of selecting best cloud storage.

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“…Most works provide a customized manner to structure the SLAs contents, which are then formalized via mathematical tuple, e.g. in [7,8,12,14,24]; in other works the authors use concepts from set theory, e.g. in [23] and [8]; the other used formalism include derivation rules, reaction rules, integrity rules and deontic rules [20], or mathematical logic concepts [24].…”

Section: Introductionmentioning

confidence: 99%

SLAFM - A Service Level Agreement Formal Model for Cloud Computing

Marco

Ferrucci

Kechadi³

2015

Proceedings of the 5th International Conference on Cloud Computing and Services Science

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Cloud Computing services are regulated by a contract called Service Level Agreement (SLA). They are cosigned between the customers and the providers after a negotiation phase, and during their validity time several constraints have to be respected by the involved parties. Due to their popularity, cloud services are enormously used and unfortunately also abused, specially by cyber-criminals. Sometimes the crimes have the consequence of violating some contractual constraints without the parties are aware of. A manner for guaranteeing more control of the SLA respect is to consider a dedicated system interacting with the cloud services and detecting the SLA violations by analysing the log files. Our proposal will introduce a formal model aimed to represent the contents of such SLAs with rules in the context of an automatic mechanism for detecting SLA violations. Revision Change Request Change Request Approved Change Request Discarded Time Expired Change Requests

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An approach to identify and monitor SLA parameters for storage-as-a-service cloud delivery model

Cited by 12 publications

References 4 publications

Supporting Multi Data Stores Applications in Cloud Environments

Supporting Multi Data Stores Applications in Cloud Environments

A cognitive approach for evaluating the usability of Storage as a Service in Cloud Computing Environment

SLAFM - A Service Level Agreement Formal Model for Cloud Computing

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