A Hierarchical Provable Massive Data Migration Method under Multicloud Storage

Now, many users have stored files on multiple clouds, and sometime, a large number of files are migrated between clouds. Because cloud providers and cloud servers are not entirely trusted, the corruption of user’s files event occur from time to time during the processes of storage and migration. Therefore, integrity verification must be performed, and the time verification overhead should be as low as possible. The existing provable data migrate methods still have the issue of high time overhead when a large number of files are migrated. Aiming at this problem, this paper proposed a hierarchical provable data migration method, which can provide the efficiency of data transfer integrity verification when moving large number of continuous files between clouds. In this paper, the proposed method is described in detail as well as the security analysis performance evaluation. The results proved that the proposed method can significantly decrease the detection latency of files transfer between clouds.

Comparative Analysis: Intrusion Detection in Multi-Cloud Environment to Identify Way Forward

Cloud computing is the emerging platform that is covering individual and corporate needs swiftly. The spread of this global platform is ranging from infrastructure to various middleware, front-end and back- end services. At corporate level, another effective configuration of this phenomenon is multi-cloud environment, which is depicting the ultimate control of the end-user on engaging services from various cloud service providers depending on the service ranking, cost and availability. It is therefore, now very much desirable to have infrastructure services from one service provider while data services are performed on another cloud or having infrastructure services in a distributed environment on multiple clouds. Multi-cloud environment is closely linked with smartly configured security mechanism to ensure the security at rest and in transit. Intrusion detection at various levels and services of cloud platform is not an easy task and when it is spread over multiple clouds then the challenge becomes more complex and tedious. On the other side, managing and integrating a multi-cloud computing environment is also highly complex. From technical point of view, it requires experience and hi-tech skills to formulate sustainable integration between multiple clouds and a coherence among various services to provide an encapsulated platform for the end-user. As in a multicolor environment, the integration can be focused on Infrastructure-as-a-Service (IaaS), Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) from various cloud service providers therefore an API-consistent cloud environment is required which leads to the security and more specifically intrusion detection. The problem arises when most of the existing network based intrusion detection systems are designed to deal with the known threats and attacks. These systems are dependent on a rule base that is sufficient to work in certain environment but in case of multi-cloud integration, such fixed rule bases and known-resilience becomes a point of concern. It is therefore, required to look at the intrusion detection system, which may adapt the environmental changes as well as can at least indicate the unknown / anomaly attacks or detection. Honeypot is a vibrant mechanism to divert attention of the unknown attackers and able to capture data to analyze the anomaly. Honeypots may not be so useful independently but along with an intrusion detection system; this mechanism works efficiently and provides tangible results. This research paper is focused on analyzing the multi-cloud environment, intrusion detection systems and the use of honeypots in the existing solutions to understand the possible configurations for effective results in making a sustainable, secure and scalable multi-cloud environment.

Multi-Cloud Adoption Challenges for the Cloud-Native Era

With the ready availability of appropriate technologies and tools for crafting hybrid clouds, the move towards employing multiple clouds for hosting and running various business workloads is garnering subtle attention. The concept of cloud-native computing is gaining prominence with the faster proliferation of microservices and containers. The faster stability and maturity of container orchestration platforms also greatly contribute towards the cloud-native era. This paper guarantees the following contributions: 1) It describes the key motivations for multi-cloud concept and implementations. 2) It also highlights various key drivers of the multi-cloud paradigm. 3) It presents a brew of challenges that are likely to occur while setting up multi-cloud. 4) It elaborates the proven and potential solution approaches to solve the challenges. The technology-inspired and tool-enabled solution approaches significantly simplify and speed up the adoption of the fast-emerging and evolving multi-cloud concept in the cloud-native era.

Multi-Cloud: A Comprehensive Review

<div>In the span of a decade, innovations in cloud computing have led to a new understanding of computing to be used as a utility. Majority of cloud service providers are making the service better and competitive for end-user. Aside from the number of services introduced by these providers, users are feeling uneasy and are unaware of consequences while switching from one service to another. Internal architecture of the cloud makes it difficult for end-users to understand. To overcome this issue a new concept of multi-cloud has been introduced. In multi-cloud technology, we can use multiple clouds from different vendors without platform complexity. Hence summarized, Multi-cloud is the usage of autonomous cloud platforms with one interface which may clue to different administrative and implementation domains. This paper reviews the literature of recently presented solutions and architectures for multi-cloud platforms.</div>

Multi-Cloud: A Comprehensive Review

<div>In the span of a decade, innovations in cloud computing have led to a new understanding of computing to be used as a utility. Majority of cloud service providers are making the service better and competitive for end-user. Aside from the number of services introduced by these providers, users are feeling uneasy and are unaware of consequences while switching from one service to another. Internal architecture of the cloud makes it difficult for end-users to understand. To overcome this issue a new concept of multi-cloud has been introduced. In multi-cloud technology, we can use multiple clouds from different vendors without platform complexity. Hence summarized, Multi-cloud is the usage of autonomous cloud platforms with one interface which may clue to different administrative and implementation domains. This paper reviews the literature of recently presented solutions and architectures for multi-cloud platforms.</div>