Emergence of Middleware to Mitigate the Challenges of Multi-Cloud Solutions onto Mobile Devices

2019 ◽  
Vol 28 (04) ◽  
pp. 1950012
Author(s):  
Nithya Ravi ◽  
Mala Thangarathinam
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Cloud Service ◽  
Application Programming Interface ◽  
Cloud Providers ◽  
Application Programming ◽  
And Migration ◽  
Lock In ◽  
Cloud Users ◽  
Multi Cloud

Cloud computing has invaded our lives so beautifully, that it is time to make cloud more productive. What makes Cloud computing novel is the possibility of an almost immediate resizing of resources on a pay-as-you-go usage model. With companies moving forward with various cloud initiatives, cloud consumers are discouraged from relinquishing their control of the infrastructure to the cloud providers. The rivalry among cloud providers to stay competitive in the market makes it necessary to lock-in its customers, and therefore customers cannot migrate easily to another due to non-interoperable APIs (Application Programming Interface), portability and migration issues. In addition, today’s cloud users are mobile devices and consuming a cloud service onto mobile device poses another set of risks. One way to handle this complexity is to devise an intermediary which can take care of the heterogeneity at the cloud and mobile level, and ensure a multi-cloud deployment of application by taking advantage of the best features from different vendors simultaneously. Thus, this paper is a sincere initiative to understand the problem beneath multi-cloud solutions and their embrace for the mobile world. Hence, the following paper begins with a broad coverage of existing work, gives an outline of a multi-cloud middleware, and discusses existing issues with API heterogeneity which is the prime point of concern in the vendor lock-in issue.

scholarly journals An Inimitable Mechanism and Architecture for Security in Cloud using Multi Cloud

2020 ◽  
Vol 8 (5) ◽  
pp. 1627-1631
Keyword(s):  
Data Security ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Environment ◽  
Private Cloud ◽  
Cloud Architecture ◽  
Cloud Service Providers ◽  
Lock In ◽  
Cloud Users ◽  
Multi Cloud

Confidentiality, Privacy and Protection of data (CPPD) are the major challenges in the cloud environment for cloud users such as industrials and organizations. Hence major companies are loath to migrate to cloud and also still using the private cloud because of lock in CPPD of cloud. Cloud Service Providers (CSP) are unable to elucidate strength of the storage and services due to lack of data security. To solve the above issue, we trust, algorithms are not the only solution for data security. In this regards, we suggest to change the architecture and develop a new mechanisms. In this paper, we are proposed two thinks. First is move to single cloud architecture to multiple cloud architecture and second is develop an innovative algorithm. And one more think also considered and proposed an inimitable mechanism to use an innovative algorithm in the multi cloud architecture for improving CPPD.

scholarly journals A Proposed Criteria for Evaluting Cloud based Systems

2014 ◽  
Vol 13 (3) ◽  
pp. 4281-4290
Author(s):  
Sururah Apinke Bello
Keyword(s):  
Cloud Computing ◽  
Open Systems ◽  
Application Programming Interface ◽  
Domain Specific ◽  
Starting Point ◽  
Cloud Providers ◽  
Level Information ◽  
Application Programming ◽  
And Performance ◽  
High Level

A number of Cloud Providers have sprung up with different offers ranging from providing instances that looks much like physical hardware to application domain-specific offers. This study intends to propose a set of review criteria to evaluate existing Cloud computing providers to high level information about this emerging way of IT provisioning. Existing Cloud providers in the Iaas, Paas and SaaS were considered using, Architecture, Application Programming Interface, User Interface, Security, Fault tolerance and Scalability, Software implementation, Monitoring, Payment and Performance. This study is to assist Cloud users and researchers in making important decision in using Cloud Systems. The study exposed a refined method of further classification of Cloud based System. The classification will enable users to know open systems that are readily available for research, commercial systems for big projects and also be a good starting point for new comers into Cloud Computing environment.

scholarly journals Addressing Semantics Standards for Cloud Portability and Interoperability in Multi Cloud Environment

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 317
Author(s):  
Chithambaramani Ramalingam ◽  
Prakash Mohan
Keyword(s):  
Service Providers ◽  
Research Work ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Environment ◽  
Cloud Service Providers ◽  
Application Programming ◽  
Increasing Demand ◽  
Programming Interfaces ◽  
Multi Cloud

The increasing demand for cloud computing has shifted business toward a huge demand for cloud services, which offer platform, software, and infrastructure for the day-to-day use of cloud consumers. Numerous new cloud service providers have been introduced to the market with unique features that assist service developers collaborate and migrate services among multiple cloud service providers to address the varying requirements of cloud consumers. Many interfaces and proprietary application programming interfaces (API) are available for migration and collaboration services among cloud providers, but lack standardization efforts. The target of the research work was to summarize the issues involved in semantic cloud portability and interoperability in the multi-cloud environment and define the standardization effort imminently needed for migrating and collaborating services in the multi-cloud environment.

scholarly journals A Study on Strategic Provisioning of Cloud Computing Services

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Md Whaiduzzaman ◽  
Mohammad Nazmul Haque ◽  
Md Rejaul Karim Chowdhury ◽  
Abdullah Gani
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Future Research ◽  
User Requirements ◽  
Service Provisioning ◽  
Research Issues ◽  
Computing Services ◽  
Cloud Computing Service ◽  
Essential Services ◽  
Cloud Providers

Cloud computing is currently emerging as an ever-changing, growing paradigm that models “everything-as-a-service.” Virtualised physical resources, infrastructure, and applications are supplied by service provisioning in the cloud. The evolution in the adoption of cloud computing is driven by clear and distinct promising features for both cloud users and cloud providers. However, the increasing number of cloud providers and the variety of service offerings have made it difficult for the customers to choose the best services. By employing successful service provisioning, the essential services required by customers, such as agility and availability, pricing, security and trust, and user metrics can be guaranteed by service provisioning. Hence, continuous service provisioning that satisfies the user requirements is a mandatory feature for the cloud user and vitally important in cloud computing service offerings. Therefore, we aim to review the state-of-the-art service provisioning objectives, essential services, topologies, user requirements, necessary metrics, and pricing mechanisms. We synthesize and summarize different provision techniques, approaches, and models through a comprehensive literature review. A thematic taxonomy of cloud service provisioning is presented after the systematic review. Finally, future research directions and open research issues are identified.

scholarly journals Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure

2022 ◽  
Vol 14 (2) ◽  
pp. 398
Author(s):  
Pieter Kempeneers ◽  
Tomas Kliment ◽  
Luca Marletta ◽  
Pierre Soille
Keyword(s):  
Cloud Computing ◽  
Parallel Processing ◽  
Optimal Strategy ◽  
Image Data ◽  
Cloud Service ◽  
Application Programming Interface ◽  
Data Access ◽  
Processing Strategies ◽  
Physical Processing ◽  
Computing Infrastructure

This paper is on the optimization of computing resources to process geospatial image data in a cloud computing infrastructure. Parallelization was tested by combining two different strategies: image tiling and multi-threading. The objective here was to get insight on the optimal use of available processing resources in order to minimize the processing time. Maximum speedup was obtained when combining tiling and multi-threading techniques. Both techniques are complementary, but a trade-off also exists. Speedup is improved with tiling, as parts of the image can run in parallel. But reading part of the image introduces an overhead and increases the relative part of the program that can only run in serial. This limits speedup that can be achieved via multi-threading. The optimal strategy of tiling and multi-threading that maximizes speedup depends on the scale of the application (global or local processing area), the implementation of the algorithm (processing libraries), and on the available computing resources (amount of memory and cores). A medium-sized virtual server that has been obtained from a cloud service provider has rather limited computing resources. Tiling will not only improve speedup but can be necessary to reduce the memory footprint. However, a tiling scheme with many small tiles increases overhead and can introduce extra latency due to queued tiles that are waiting to be processed. In a high-throughput computing cluster with hundreds of physical processing cores, more tiles can be processed in parallel, and the optimal strategy will be different. A quantitative assessment of the speedup was performed in this study, based on a number of experiments for different computing environments. The potential and limitations of parallel processing by tiling and multi-threading were hereby assessed. Experiments were based on an implementation that relies on an application programming interface (API) abstracting any platform-specific details, such as those related to data access.

Quantum-based Rivest–Shamir–Adleman (RSA) approach for digital forensic reports

2020 ◽  
Vol 34 (06) ◽  
pp. 2050085 ◽  
Author(s):  
Jaishree Jain ◽  
Ajit Singh
Keyword(s):  
Cloud Computing ◽  
Simulation Environment ◽  
Security Attacks ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Digital Forensic ◽  
Important Concern ◽  
Multiple Clouds ◽  
Cloud Users ◽  
Multi Cloud

Cloud computing is a model that permits usage of a distributed resource for cloud users using the pay-as-you-use method. It offers many advantages to users and companies, in terms of various resources and applications as a service. In spite of the existence of these advantages, there are a few limitations that place constraints on the utilization of a cloud computing environment. Security is an important concern in a cloud computing environment as it probes various security attacks. Therefore, in this work, a novel quantum-based Rivest–Shamir–Adleman (RSA) model is proposed for encryption of forensic reports during storage or data sharing on clouds. To evaluate the effectiveness of the proposed approach, a suitable simulation environment is designed for a multi-cloud environment. Experimental results reveal the proposed approach can efficiently encrypt and store data on multiple clouds without introducing potential overheads. Therefore, the proposed approach is more efficient for real-time applications.

scholarly journals Design, Fabrication, and Testing of an Internet Connected Intravenous Drip Monitoring Device

2018 ◽  
Vol 8 (1) ◽  
pp. 2 ◽  
Author(s):  
Pranshul Sardana ◽  
Mohit Kalra ◽  
Amit Sardana
Keyword(s):  
Human Error ◽  
Cloud Service ◽  
Application Programming Interface ◽  
Ambient Conditions ◽  
Stability Change ◽  
Communication Module ◽  
Application Programming ◽  
Time Required ◽  
High Degree ◽  
Hyper Text Transfer Protocol

This paper proposes a monitoring system retro-fittable for existing Intravenous (IV) infusion setup. Traditionally, doctors and nurses use their experience to estimate the time required by an IV bottle to empty which makes the IV therapy vulnerable to human error. The current study proposes an internet connected monitoring platform for IV drip chambers. The device enables doctors and nursing staff to monitor the drip parameters wirelessly while emphasizing on low costs and high degree of reliability. It has two main units, namely chamber unit and pole unit. Chamber unit houses two types of sensors, optical based for drop detection and capacitive based for level detection, both of which are placed on the chamber unit. The pole unit majorly consists of a microcontroller and a GSM-based (Global System Mobile Communication) communication module. In addition, the device was tested along with various parameters like accuracy, readout stability, change in fluid used, changes in ambient conditions, end chamber conditions, optical unit malfunctions. Finally, the monitored data was securely and reliably transmitted to commercial cloud service using HTTP API calls (Hyper Text Transfer Protocol) (Application Programming Interface). This data was stored and visualized for ease of readability for nurses and doctors.

scholarly journals Multi-Cloud: A Comprehensive Review

2021 ◽  
Author(s):  
Hamza Ali Imran ◽  
Usama Latif ◽  
Ataul Aziz Ikram ◽  
Maryam Ehsan ◽  
Ahmed Jamal Ikram ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
End Users ◽  
End User ◽  
Comprehensive Review ◽  
Cloud Service Providers ◽  
Multiple Clouds ◽  
Multi Cloud ◽  
Internal Architecture

<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>

scholarly journals QoS Aware Resource Scheduling and Performance Assessment of Heuristics for Processing Jobs on Cloud

2020 ◽  
Vol 9 (4) ◽  
pp. 2202-2207
Keyword(s):  
Cloud Computing ◽  
Completion Time ◽  
High Speed ◽  
Service Providers ◽  
Research Work ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Heuristic Approaches ◽  
Cloud Users

Cloud computing or in other words, shared computing is a unique way of sharing resources via the Internet. It combines and extends features of parallel processing, grid computing, and distributed computing. Cloud Computing environments provide a competent way to schedule and process various jobs on remote machines. Rather than relying on local machines, Cloud users access services remotely via high-speed networks. Various users submitting jobs to be processed to Cloud would expect Quality of Service (QoS). So, currently, many researchers are proposing various heuristics that provide QoS to cloud users. The job scheduler is responsible for scheduling various jobs to its best-matched resource to achieve desired QoS. There are Service Level Agreements (SLAs) between Cloud Service Providers (CSPs) and Cloud users, which need to be followed by both the parties. Benefits would be affected in case of not complying with SLAs. In this paper various SLAs like Hard SLA, Best Effort SLA and Soft SLA are proposed. Jobs with required QoS parameters like Reliability, Execution Time and Priority are submitted to the scheduler. QoS of resources is determined by parameters like Reliability, Job Completion Time and the Cost of the resource. Schedulers then assign the Job to the best-matched resource according to specified SLA. Simulation is performed for First Fit and Best Fit heuristic approaches. Performances of both the heuristic approaches are evaluated with performance parameters like Average Resource Utilization (ARU), Success Rate of Jobs (SR) and Total Completion Time (TCT). This research work is useful for various organizations that provide various Cloud services to users who seek different levels of QoS for various applications.

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