On Evaluating Commercial Cloud Services: A Systematic Review

Background: Cloud Computing is increasingly booming in industry with many competing providers and services. Accordingly, evaluation of commercial Cloud services is necessary. However, the existing evaluation studies are relatively chaotic. There exists tremendous confusion and gap between practices and theory about Cloud services evaluation. Aim: To facilitate relieving the aforementioned chaos, this work aims to synthesize the existing evaluation implementations to outline the state-of-the-practice and also identify research opportunities in Cloud services evaluation. Method: Based on a conceptual evaluation model comprising six steps, the Systematic Literature Review (SLR) method was employed to collect relevant evidence to investigate the Cloud services evaluation step by step. Results: This SLR identified 82 relevant evaluation studies. The overall data collected from these studies essentially represent the current practical landscape of implementing Cloud services evaluation, and in turn can be reused to facilitate future evaluation work. Conclusions: Evaluation of commercial Cloud services has become a world-wide research topic. Some of the findings of this SLR identify several research gaps in the area of Cloud services evaluation (e.g., the Elasticity and Security evaluation of commercial Cloud services could be a long-term challenge), while some other findings suggest the trend of applying commercial Cloud services (e.g., compared with PaaS, IaaS seems more suitable for customers and is particularly important in industry). This SLR study itself also confirms some previous experiences and reveals new Evidence-Based Software Engineering (EBSE) lessons

Secure management of logs in internet of things

Ever since the advent of computing, managing data has been of extreme importance. With innumerable devices getting added to network infrastructure, there has been a proportionate increase in the data which needs to be stored. With the advent of Internet of Things (IOT) it is anticipated that billions of devices will be a part of the internet in another decade. Since those devices will be communicating with each other on a regular basis with little or no human intervention, plethora of real time data will be generated in quick time which will result in large number of log files. Apart from complexity pertaining to storage, it will be mandatory to maintain confidentiality and integrity of these logs in IOT enabled devices. This paper will provide a brief overview about how logs can be efficiently and securely stored in IOT devices.Comment: 6 pages, 1 tabl

Identifying cloud security threats to strengthen cloud computing adoption framework

Cloud Computing allows firms to outsource their entire information technology (IT) process, allowing them to concentrate more on their core business to enhance their productivity and innovation in offering services to customers. It allows businesses to cut down heavy cost incurred over IT infrastructure without losing focus on customer needs. However, to a certain limit adopting Cloud computing has struggled to grow among many established and growing organizations due to several security and privacy related issues. Throughout the course of this study several interviews were conducted, with cloud developers and security experts, and the literature was reviewed. This study enabled us to understand, current and future, security and privacy challenges with cloud computing. The outcome of this study led to identification of total 18, current and future, security issues affecting several attributes of cloud computing

The Cross-border Electricity Business Cloud Services Platform Based On A Combination Of Cloud Computing Services Composition

Nowadays cloud computing industry has turned to the stage of small-scale application from the stage of import and preparation, so business model has become an integral part in cloud computing. According to the existing problem of commercial operation in cloud computing, by analyzing and forecasting the service composition effects, this paper proposes the theoretical thought of synthetic prediction of risk management for cloud computing services composition systems, gives a synthetic prediction model of services composition, namely multi-layer recurrent model, and analyzes it properties. Then based on multi-layer recurrent model, the construction and application prospect of the cloud service platform based on cloud computing service portfolio is discussed

Analysis of the major issues in Cloud Computing Environments

Cloud computing is a model for enabling service user’s ubiquitous, convenient and on-demand network access to a shared pool of configurable computing resources. Cloud computing is a promising technology to facilitate development of large-scale, on-demand, flexible computing infrastructures. But without security embedded into innovative technology that supports cloud computing, businesses are setting themselves up for a fall. The trend of frequently adopting this technology by the organizations automatically introduced new risk on top of existing risk. Obviously putting everything into a single box i.e. into the cloud will only make it easier for hacker. This paper presents an overview and the study of the cloud computing. Also include the several security and challenging issues, emerging application and the future trends of cloud computing

A Firefly Colony and Its Fuzzy Approach for Server Consolidation and Virtual Machine Placement in Cloud Datacenters

Managing cloud datacenters is the most prevailing challenging task ahead for the IT industries. The data centers are considered to be the main source for resource provisioning to the cloud users. Managing these resources to handle large number of virtual machine requests has created the need for heuristic optimization algorithms to provide the optimal placement strategies satisfying the objectives and constraints formulated. In this paper, we propose to apply firefly colony and fuzzy firefly colony optimization algorithms to solve two key issues of datacenters, namely, server consolidation and multiobjective virtual machine placement problem. The server consolidation aims to minimize the count of physical machines used and the virtual machine placement problem is to obtain optimal placement strategy with both minimum power consumption and resource wastage. The proposed techniques exhibit better performance than the heuristics and metaheuristic approaches considered in terms of server consolidation and finding optimal placement strategy

Stealth databases : ensuring user-controlled queries in untrusted cloud environments

Sensitive data is increasingly being hosted online in ubiquitous cloud storage services. Recent advances in multi-cloud service integration through provider multiplexing and data dispersion have alleviated most of the associated risks for hosting files which are retrieved by users for further processing. However, for structured data managed in databases, many issues remain, including the need to perform operations directly on the remote data to avoid costly transfers. In this paper, we motivate the need for distributed stealth databases which combine properties from structure-preserving dispersed file storage for capacity-saving increased availability with emerging work on structure-preserving encryption for on-demand increased confidentiality with controllable performance degradation. We contribute an analysis of operators executing in map-reduce or map-carry-reduce phases and derive performance statistics. Our prototype, StealthDB, demonstrates that for typical amounts of personal structured data, stealth databases are a convincing concept for taming untrusted and unsafe cloud environments