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Book ChapterDOI

Service Provisioning in Cloud: A Systematic Survey

TLDR
In this article, an attempt has been made for analyzing the service provisioning techniques from different perspectives, including various techniques and methodologies, QoS parameter considered, context awareness, etc.
Abstract
Cloud Computing is all about delivering services over the Internet. It has some technical, business and economical aspects. The complexity of service provisioning has increased significantly with the increasing number of cloud services and their providers. This creates a complex situation and as a result the service provisioning techniques face hurdles. The challenge of service provisioning is to properly offer services by adjusting the complexities efficiently. There are significant works to solve the problem in different manners. But still there are some gaps that are to be noticed and bridged for future advancement of cloud technology research. In this paper an attempt has been made for analyzing the service provisioning techniques from different perspectives. The said perspectives are various techniques and methodologies, QoS parameter considered, context awareness, etc. Moreover, the role of a broker in this context is also addressed. The overall motivation is to identify the open challenges, that may provide a future research direction in context of service provisioning.

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Citations
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Identity Federation Broker for Service Cloud.

TL;DR: In this article, the authors proposed an identity federation broker that introduces a trusted third party as a trust broker to simplify the management of identity federation in a user centric manner, which can reduce the cost and risk of federated identity management for both enterprises and service providers.
Journal ArticleDOI

Cloud Computing Applications: A Review

TL;DR: This paper provides a review of cloud computing technology, cloud models, deployment and cloud applications such as types of applications, reliability, and security, and open research issues are provided for future research development.
Posted Content

Cloud Broker: A Systematic Mapping Study.

TL;DR: In this article, a comprehensive 3-tier search strategy (manual search, backward snowballing, and database search) was used to identify the most important and hottest topics in the field of cloud broker, identifying existing trends and issues, identifying active researchers and countries in the cloud broker field, a variety of commonly used techniques in building cloud brokers, variety of evaluation methods, the amount of research conducted in this field by year and place of publication and the identification of the most relevant active search spaces.
References
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Journal ArticleDOI

Particle Swarm Optimization with Skyline Operator for Fast Cloud-based Web Service Composition

TL;DR: Experimental results show that the proposed approach adopts Skyline operator to prune redundant CWS candidates and then employs Particle Swarm Optimization to select CWS from amount of candidates for composing single service into a more powerful composite service.
Journal ArticleDOI

CompatibleOne: The Open Source Cloud Broker

TL;DR: This paper proposes a new Cloud broker called CompatibleOne which provides solutions to assist Cloud end users in their providers choice and uses the new defined object-based description model called CORDS.
Book ChapterDOI

A Broker for OWL-S Web Services

TL;DR: This paper provides a detailed analysis of Broker architecture in the setting of OWL-S Web Services, and proposes a solution to a number of issues that arise in the brokered management of the interaction between Web services.
Journal ArticleDOI

Risk-aware limited lookahead control for dynamic resource provisioning in enterprise computing systems

TL;DR: An optimization framework wherein the resource provisioning problem is posed as one of sequential decision making under uncertainty and solved using a limited lookahead control scheme and explicitly encodes risk in the optimization problem is developed.
Book ChapterDOI

Cloud Computing Service Composition and Search Based on Semantic

TL;DR: A matching algorithm SMA between cloud computing services of multiple input/output parameters, which considers the semantic similarity of concepts in parameters based on WordNet to show that this approach has better efficiency of service composition than traditional approaches.
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