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With the steady increase of offered cloud storage services, they became a popular alternative to local storage systems. Beside several benefits, the usage of cloud storage services can offer, they have also some downsides like potential vendor lock-in or unavailability. Different pricing models, storage technologies and changing storage requirements are further complicating the selection of the best...
In the present work, we developed approaches for effective control of traffic flow in the virtual data center, based on the methods used in the data mining and machine learning to more accurately classify and identify streams of cloud-based applications and network services.
Trust and reputation systems represent a significant trend in decision support including selection of best match cloud providers to process Big Data. Reputation is often considered as a collective measure of trustworthiness based on the referrals or ratings from members in a community. Reputation systems have been applied in various applications such as online service provision. However, reputation...
The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated...
Today, cloud computing has become a promising paradigm that aims at delivering computing resources and services on demand. The adoption of these services has been rapidly increasing. One of the main issues in this context is how to evaluate the ability of cloud systems to provide the desired services while respecting the QoS constraints. Experimentation in a real environment is a hard problem. In...
Over the past several decades there is an exceptionally large improvement in the computer technology which leads to an uncountable number of data and information emerging in and all over the world. Due to this tremendous and huge dump of data as well as web data most popular search engines are experiencing a lot of irrelevant retrieval of data. The major aspire of this proposed Improved Weis to identify...
In recent years, trust has emerged with the development of cloud computing. It is a critical step to select a trusted cloud provider before the service begins, which is related to the interests of cloud consumers themselves and the quality of the service. A SLA trust model based on behavior evaluation is proposed in this paper. User's subjective evaluations are abandoned, the provider who is trusted...
Nowadays, the usage of cloud storages to store data is a popular alternative to traditional local storage systems. However, besides the benefits such services can offer, there are also some downsides like vendor lock-in or unavailability. Furthermore, the large number of available providers and their different pricing models can turn the search for the best fitting provider into a tedious and cumbersome...
Data centers are widely used for the placement of highly loaded applications and solutions used to process large amounts of data (Big Data). The study developed a model of cloud application and services. The novelty of this model is the use of methods of intellectual analysis and prediction of dynamic characteristics in the study of multicomponent systems. In order to provide flexibility built models...
Web services provide functionalities to the users. Software products and services require high quality. Quality parameters of Web and cloud based applications includes scalability, balancing workload, high availability and other parameters. The objective of the paper to improve the performance of web in cloud based applications. Cloud based applications provide services to the users such as platform...
Hadoop framework has recently been adapted for use by the video analytics community for intensive, distributed video processing, storage. However, the challenge is to estimate the required amount of resources to be used in such an environment to fulfil the requirements of a user with requirements constraints. Therefore, it is important to understand how to model the performance of a Hadoop based implementation...
Using cloud computing for IT service provisioning has become a common practice over the last years. Besides basic infrastructure services, more advanced multimedia services with high Quality of Service (QoS) requirements are offered. To fulfill such requirements, appropriate cloud resources must be used for service provisioning. In this paper, we analyze different heuristic approaches to speed up...
Most existing monitoring systems do not provide semantic information for their monitoring data. Thus, monitoring data in the repository can only be understood by the system that has generated the data. Round Robin Database (RRD) is an important effort toward building monitoring data semantics [1]. However, the RRD model has missing semantic information, such as what QoS metric or which system entity...
The role of Internet of Things (IoT) in facilitating connectivity of the wireless sensor network (WSN) to the remote server or cloud over the Internet encourages the formation of a highly complex system with significant potential. This enable the interaction between the physical and virtual sensor clouds resulting in the ability to allow for flexibility within the physical system to adapt with the...
There is a growing adoption of cloud computing services, attracting users with different requirements and budgets to run their applications in cloud infrastructures. In order to match users' needs, cloud providers can offer multiple service classes with different pricing and Service Level Objective (SLO) guarantees. Admission control mechanisms can help providers to meet target SLOs by limiting the...
Incorporating ubiquitous wireless sensor networks (WSNs) and powerful cloud computing (CC), Sensor-Cloud (SC) is attracting growing attention from both academia and industry. However, pricing for SC is barely explored. In this paper, filling this gap, five SC pricing models (i.e., SCPM1, SCPM2, SCPM3, SCPM4 and SCPM5) are proposed first. Particularly, they charge a SC user, based on 1) the lease period...
The amount of data that human activities generate poses a challenge to current computer systems. Big data processing techniques are evolving to address this challenge, with analysis increasingly being performed using cloud-based systems. Emerging services, however, require additional enhancements in order to ensure their applicability to highly dynamic and heterogeneous environments and facilitate...
According to [1], cloud computing is one of ICT core areas in the next five years. The computing paradigm also is a research trend that has attracted strongly scientist community. Until now, there are many studies, which have focused on saving energy for servers in cloud systems. During the operation process of cloud data center, idle servers bring about power waste phenomenon. In order to overcome...
Cloud computing is recently has emerged as a pattern for hosting and service delivery on internet and has rapidly become a hot topic in academic and commercial environments and has attracted many people. Nowadays, we are encountering various cloud service providers. One of important aspects in cloud computing is service level agreement which is a contract involving service agreement between client...
Cloud computing is a computing paradigm which provides a dynamic environment for end users to guarantee Quality of Service (QoS) on data towards confidentiality on the out sourced data. Confidentiality is about accessing a set of information from a cloud database with a high security level. This research proposes a new cloud data security model, I Neurol Data Security Model to ensure high confidentiality...
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