Current Issue : April - June Volume : 2018 Issue Number : 2 Articles : 5 Articles
In the last few years, research has been motivated to provide a categorization and classification of security concerns\naccompanying the growing adaptation of Infrastructure as a Service (IaaS) clouds. Studies have been motivated by\nthe risks, threats and vulnerabilities imposed by the components within the environment and have provided general\nclassifications of related attacks, as well as the respective detection and mitigation mechanisms. Virtual Machine\nIntrospection (VMI) has been proven to be an effective tool for malware detection and analysis in virtualized\nenvironments. In this paper, we classify attacks in IaaS cloud that can be investigated using VMI-based mechanisms.\nThis infers a special focus on attacks that directly involve Virtual Machines (VMs) deployed in an IaaS cloud. Our\nclassification methodology takes into consideration the source, target, and direction of the attacks. As each actor in a\ncloud environment can be both source and target of attacks, the classification provides any cloud actor the necessary\nknowledge of the different attacks by which it can threaten or be threatened, and consequently deploy adapted\nVMI-based monitoring architectures. To highlight the relevance of attacks, we provide a statistical analysis of the\nreported vulnerabilities exploited by the classified attacks and their financial impact on actual business processes....
The paper establishes the link between community clouds and m-commerce. The research questions attempt to\nprovide an understanding of the various shopping domains and their convergence through mobile devices. In\naddition, insight is provided into the development and growth of mobile trends within the context of mcommerce\nand the cloud. This enables analysis of the Privacy by Design (PbD) framework and uses it to evaluate\nthe next generation of m-commerce designs. This is followed by a discussion of the current issues based on the\nPbD framework, as well as offers of a solution framework to address the relevant challenges....
Media Edge Cloud Data Centers (MEC-DCs) that are interconnected by a Metro Network were selected as\ninfrastructure to enhance the Quality of Experience (QoE) for end users of multimedia applications. Unlike the\ntraditional Data Centers, MEC-DCs, which are kept closer to the user, have limited availability of resources at a given\nData Center. Therefore, it is of paramount importance for Infrastructure service providers to efficiently dimension and\nuse the media resources in an environment where the applications have high resource demand and the infrastructure\nhas limited availability. To perform this task dynamically, we first propose a resource allocation strategy that considers\nthe physical characteristics of the networking layer while minimizing the costs of deploying media applications.\nSecond, we analyze the different configurations of the networking layer in order to enhance the use of MEC-DCs\nresources and the QoE for the end-users. Simulation results show a clear advantage of this proposed\noptimization-based approach over the benchmarks in terms of provisioning costs, blocking ratio and resource use....
Latency minimization is a pivotal aspect in provision of real time services while adhering to Quality of Experience\n(QoE) parameters for assuring spectral efficiency. Edge Cloud Computing, being a potential research dimension in\nthe realm of 5G networks, targets to enhance the network efficiency by harnessing effectiveness of both cloud\ncomputing and mobile devices in user�s proximity. Keeping in view the far ranging impact of Edge Cloud Computing\nin future mobile generations, a comprehensive review of the prevalent Edge Cloud Computing frameworks and\napproaches is presented with a detailed comparison of its classifications through various QoS metrics (pertinent\nto network performance and overheads associated with deployment/migration). Considering the knowledge\naccumulated, procedures analysed and theories discussed, the paper provides a comprehensive overview on\nsate-of-the-art and future research directions for multi-access mobile edge computing....
This paper describes the development and implementation of a lightweight software solution, called OSSperf, which\ncan be used to investigate the performance of object-based public cloud storage services like Amazon S3, Google\nStorage and Microsoft Azure Blob Storage, as well as private cloud re-implementations. Furthermore, this paper\npresents an explanation of the output of the tool and some lessons learned during the implementation...
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