Cloud Service Environment Research Articles

모바일 클라우드 서비스 환경에서의 보안위협에 관한 연구

모바일 클라우드 서비스 환경에서의 보안위협에 관한 연구

Differentiating data collection for cloud environment monitoring

In a growing number of information processing applications, data takes the form of continuous data streams rather than traditional stored databases. Monitoring systems that seek to provide monitoring services in cloud environment must be prepared to deal gracefully with huge data collections without compromising system performance. In this paper, we show that by using a concept of urgent data, our system can shorten the response time for most 'urgent' queries while guarantee lower bandwidth consumption. We argue that monitoring data can be treated differently. Some data capture critical system events; the arrival of these data will significantly influence the monitoring reaction speed which is called urgent data. High speed urgent data collections can help system to react in real time when facing fatal errors. A cloud environment in production, MagicCube, is used as a test bed. Extensive experiments over both real world and synthetic traces show that when using urgent data, monitoring system can lower the response latency compared with existing monitoring approaches.

Automatic Classification Method of Web Services in Cloud Environment

Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.

Automatic Manufacturing Cloud Service Composition Based on AI Plan

Manufacturing cloud service composition is the key way to improve the utilization of manufacturing resources and manufacturing capabilities, realize added value and efficiency of manufacturing resources and manufacturing capabilities. It has great significance on cloud manufacturing implementation and carry. Therefore, the paper presents automatic forwarding search method called AMCSC-HFS for manufacturing cloud service composition based on AI plan. The main purpose is to support meeting the actual need of large-scale and dynamic cloud manufacturing cloud service environment.

TSMC: A Novel Approach for Live Virtual Machine Migration

Cloud computing attracted more and more attention in recent years, and virtualization technology is the key point for deploying infrastructure services in cloud environment. It allows application isolation and facilitates server consolidation, load balancing, fault management, and power saving. Live virtual machine migration can effectively relocate virtual resources and it has become an important management method in clusters and data centers. Existing precopy live migration approach has to iteratively copy redundant memory pages; another postcopy live migration approach would lead to a lot of page faults and application degradation. In this paper, we present a novel approach called TSMC (three-stage memory copy) for live virtual machine migration. In TSMC, memory pages only need to be transmitted twice at most and page fault just occurred in small part of dirty pages. We implement it in Xen and compare it with Xen’s original precopy approach. The experimental results under various memory workloads show that TSMC approach can significantly reduce the cumulative migration time and total pages transferred and achieve better network IO performance in the same time.

A Novel Cloud Computing Security Model to Detect and Prevent DoS and DDoS Attack

Cloud computing has been considered as one of the crucial and emerging networking technology, which has been changed the architecture of computing in last few years. Despite the security concerns of protecting data or providing continuous service over cloud, many organisations are considering different types cloud services as potential solution for their business. We are researching on cloud computing security issues and potential cost effective solution for cloud service providers. In our first paper we have revealed number of security risks for cloud computing environment, which has focused on lack of awareness of cloud service providers. In our second paper, we have investigated on technical security issues involved in cloud service environment, where it’s been revealed that DoS or DDoS is one of the common and significant dangers for cloud computing environment. In this paper, we have investigated on different techniques that can be used for DoS or DDoS attack, have recommended hardware based watermarking framework technology to protect the organisation from these threats.

Creating a semantically-enhanced cloud services environment through ontology evolution

Currently, the availability of Web resources has grown enormously to the point that whatever a user needs at a given moment can potentially be found on the Internet. These resources are not limited to data items anymore, functionality delivered through some sort of service architectural model is also offered on the Internet. In the last few years, cloud computing has emerged as one of the most popular computing models to provide services over the Internet. However, as the number of available cloud services increases, the problem of service discovery and selection arises. Experience indicates that semantic technologies can provide the basis for enhanced and more precise search processes. In this paper, we present a platform that makes use of semantic technologies and techniques to facilitate the discovery of cloud resources meeting the users’ needs. We propose an architecture that puts together semantic annotation techniques, ontology evolution, term extraction and indexing resources to semantically annotate cloud services, and a semantic search engine that leverages the semantic description of the cloud resources to find them from keyword-based searches. A comprehensive evaluation of the tool in the ICT domain has produced very promising results and is also presented in this article.

Survey of Fault Tolerance Policy for Load Balancing Scheme in Distributed Computing

Cloud computing had opened a new horizon for utilization of resources and their computing. But as accessibility of cloud increases, one of the most important factors to be considered would be availability of resources and load balancing. Fault tolerance is another issue to deal with while providing Quality of Service in cloud environment thus enhancing the performance. This paper investigates about fault-tolerance in load balancing schemes in distributed environment. There are some more parameters influencing QOS but our main focus is on fault tolerance and load balancing.

Trust management of services in cloud environments

Trust management is one of the most challenging issues in the emerging cloud computing area. Over the past few years, many studies have proposed different techniques to address trust management issues. However, despite these past efforts, several trust management issues such as identification, privacy, personalization, integration, security, and scalability have been mostly neglected and need to be addressed before cloud computing can be fully embraced. In this article, we present an overview of the cloud service models and we survey the main techniques and research prototypes that efficiently support trust management of services in cloud environments. We present a generic analytical framework that assesses existing trust management research prototypes in cloud computing and relevant areas using a set of assessment criteria. Open research issues for trust management in cloud environments are also discussed.

Requirements Engineering for Security, Privacy and Services in Cloud Environments

Being one of the most versatile technologies innovated till date, cloud computing and its managed services have brought about drastic changes to improvise and enhance the existing IT infrastructures. A critical issue that has been raised as a result of the rapid employment of Cloud services and the distributed nature of the enabling Cloud architecture is the satisfaction of new security requirements and the protection of users’ privacy. Specifically, the distinct architectural and functional characteristics of cloud computing raise a number of security and privacy challenges that need to be identified, analysed and modelled. The aim is to design and develop secure, trustworthy and privacy preserving Cloud Systems Application Services. Software engineering in cloud computing is an essential aspect for obtaining a systematic, disciplined and quantifiable approach to the development, operation and maintenance of software services. Incorporating security and privacy during the engineering process is of vital importance for assuring the development of reliable, correct, robust and trustful systems as well as adaptive and evolving software services that satisfy users’ requirements. To this extent, the need to investigate methods and tools that will assist developers in constructing more reliable privacy-oriented information systems and services in Cloud environments is fully justified. This special issue of the Requirements Engineering journal aims at providing researchers and professionals with insights into the state-of-the-art in Requirements Engineering for Security, Privacy and Services in Cloud Environments from the views of modelling language, design framework and policy compliance knowledge patterns.

An Adaptive Management Approach Collaborating Heterogeneous Resources in Cloud Service Environments

As cloud computing grows rapidly and virtualization techniques become widely-used, it is critical and important to allocate limited resources to various applications on demand for the cloud service environments. In this paper, we propose an adaptive resource management approach considering collaboratively allocating heterogeneous resources to fully utilize extra resource capacity. The system architecture is illustrated, and then the definition of the optimization problem concerning collaborative resource allocation is presented. An optimization algorithm is developed and described, which carries out stochastic and directional search step by step to jointly schedule different resources. The evaluation results of simulation experiments demonstrate that by using the collaborative allocation approach we designed, the performance of different applications deployed in the cloud environment could be guaranteed subject to the QoS (Quality of Service) specification, despite of the significant fluctuation of workloads.

Combining models of capacity supply to handle volatile demand: The economic impact of surplus capacity in cloud service environments

In the paper at hand we analyze the capacity planning problem of a service vendor providing a business process characterized by volatile demand to his customers. Thereby, we consider the situation that the service vendor executes certain activities by himself whereas specific parts of the business process are outsourced to external providers. For the outsourced parts, the vendor can choose between different models of capacity supply (MCS) that are offered by external providers differentiating with respect to elasticity of provided capacity and the underlying pricing model. Thereby, in addition to the two “traditional” MCS dedicated capacity and elastic capacity, recent developments in information technology enable the on-demand use of surplus capacity from an external providers' market. Since an integrated analysis of these three MCS is still missing in common literature, we develop an optimization model allowing for the simultaneous consideration of the three different MCS within an integrated queuing system. By analyzing the optimization model with help of a discrete event simulation, we study the question of how these different MCS may be combined to minimize the total operating costs of the service vendor considering volatile demand. The simulation results show that combining different MCS tends to be favorable in contrast to the stand-alone usage of a certain MCS. In particular, combining the additional option of using surplus capacity with “traditional” MCS promises cost advantages. Our optimization model therewith provides first insights in the potential economic benefits of IT-enabled MCS.

A Approach of Credibility-Based Trust Management Service in Cloud Environments

Trust management is one of the most challenging issues in the emerging cloud computing. A distributed way is adopted to manage and store trust feedbacks data. We propose a credibility-based trust management model that not only distinguishes between credible trust feedbacks, but also has the ability to detect the malicious trust feedbacks from attackers .On this basis, we also present a replication determination model that dynamically decides the optimal replica number of the trust management service so that the trust management service can be always maintained at a desired availability level. The research results have been validated by experimental results.

A QoS aware services mashup model for cloud computing applications

Purpose: With the popularity of cloud computing, cloud services have become to be application programming platform where users can create new applications mashup(composing) the functionality offered byothers.By composing of distributed, cloud services dynamicallyto provide more complex tasks, services mashup provides an attractive way for building large-scale Internetapplications.Oneof the challenging issues of cloud services mashup is how to find service paths to route the service instances provider through whilemeeting the applications’ resource requirements so that the QoS constraints are satisfied. However, QoS aware service routing problem istypically NP-hard.The purpose of this paper is to propose a QoS Aware Services Mashup(QASM) model to solve this problem more effectively. Design/methodology/approach: In this paper, we focus on the QoS aware services selection problem in cloud services mashup, for example, given the user service composition requirements and their QoS constraint descriptions, how to select the required serviceinstances and route the data flows through these instances so that the QoS requirements are satisfied. We design a heuristic algorithm to find service paths to route the data flows through whilemeeting the applications’ resource requirements and specific QoS constraints. Findings: This study propose a QoS Aware Services Mashup(QASM) model to solve this problem more effectively. Simulations show that QASM can achieve desired QoS assurances as well as load balancing in cloud services environment. Originality/value: This paperpresent a QASM model for providing high performance distributedapplications in the cloud computing systems.

Spatial Services in Cloud Environment

Spatial Services in Cloud Environment

Migration of Services to the Cloud Environment: Challenges and Best Practices

Cloud computing is coming-up as a new generation business paradigm with significant potential to increase the agility and lower the costs. Business people are looking for better ways to migrate their existing applications to a cloud-based infrastructure to enjoy the immense cloud potential. However, the security risks, lack of mature technology and standards, and other concerns prevent widespread enterprise adoption of external clouds. Companies are developing a cloud computing strategy based on growing the cloud from inside-out. Still, many applications are not suitable for hosting at external clouds. Hence, migration of services to the external cloud becomes a major issue whenever there is a paradigm shift. There are many key Challenges of Enterprise Cloud Computing like Data Governance, Manageability, Monitoring, Reliability, Availability and Virtualization. Present work discusses the major challenges towards the migration of services in cloud environment, considering both the public as well hybrid clouds. In order to signify the challenges, both technical and business issues have been considered. The best practices by IT giants have also been highlighted, considering the present day business environment.

The inter‐disciplinary modelling of supply chains in the context of collaborative multi‐structural cyber‐physical networks

PurposeOn modern markets, supply chains (SC) shape the competition landscape. At the same time, considerable research advancements have been recently achieved in the area of collaborative networks. Trends in information technology progress for networked systems include development of cyber‐physical networks, cloud service environments, etc. The purpose of this paper is to identify an inter‐disciplinary perspective and modelling tools for new generation SCs which will be collaborative cyber‐physical networks.Design/methodology/approachThis study addresses the above‐mentioned research goal by first, developing a methodical vision of an inter‐disciplinary modelling framework for SCM based on the existing studies on SC operations, control and systems theories; and second, by integrating elements of different structures with structures dynamics within an adaptive framework based upon the authors' own research.FindingsThe inter‐disciplinary modelling framework for multi‐structural SCs has been developed. A new inter‐disciplinary level of model‐based decision‐making support in those SCs is claimed based on the integration of previously isolated problems and modelling tools developed in such disciplines like operations research, control theory, system dynamics, and artificial intelligence.Originality/valueThe novelty of this paper is the consideration of SC modelling in the context of collaborative cyber‐physical systems. This topic is particularly relevant for researchers and practitioners who are interested in future generation SCs. Particular focus is directed towards the multi‐structural SC modelling, structure dynamics, and inter‐disciplinary problems and models in future SCs. Challenges of integrated optimization in the organizational and informational context are discussed.

Research on Applications of Widget for Mobile Middleware in Cloud Service Environment

Research on Applications of Widget for Mobile Middleware in Cloud Service Environment

Trustworthy assurance of service interoperation in cloud environment

Cloud computing can be realized by service interoperation and its essence is to provide cloud services through network. The development of effective methods to assure the trustworthiness of service interoperation in cloud environment is a very important problem. The essence of cloud security is trust and trust management. Combining quality of service (QoS) with trust model, this paper constructs a QoS-aware and quantitative trust-model that consists of initial trust value, direct trust value, and recommendatory trust value of service, making the provision, discovery, and aggregation of cloud services trustworthy. Hence, it can assure trustworthiness of service interoperation between users and services or among services in cloud environment. At the same time, based on this model, service discovery method based on QoS-aware and quantitative trust-model (TQoS-WSD) is proposed, which makes a solid trust relationship among service requestor, service provider and service recommender, and users can find trustworthy service whose total evaluation value is higher. Compared to QoS-based service discovery (QoS-WSD) method, it is proved by the experiment for TQoS-WSD method that more accurate result of service discovery will be achieved by service requestor, while reasonable time cost is increased. Meanwhile, TQoS-WSD method strongly resists the effect of service discovery by untrustworthy QoS values and improves service invocation success-rate and thus assures trustworthiness of services interoperation.

CloudEdge: a content delivery system for storage service in cloud environment

With the trend of cloud computing, more and more web applications move their content to external storage services to reduce the cost of hardware and maintenance. In this paper, a novel architecture called CloudEdge for Content Delivery Network (CDN) with the storage service in cloud computing is introduced. This architecture could not only keep the loosely coupled integration between storage service and web applications but also provide better content manipulation features such as edge network content delivery, caching, secured access control, the variations of content objects generated on demand, and post-process on content objects.