scholarly journals An Efficient Framework to Improve QoS of CSP using Enhanced Minimal Resource Optimization based Scheduling Algorithm

Author(s):  
Ravi Mahadevan ◽  
Neelamegam Anbazhagan

<span>Online Nowadays, the enterprises &amp; individuals are contributing their workloads on cloud service providers which are going to increase on daily basis. There are   large amount CSP are available to offer virtualized and dynamic resource on pay and use basis. However, there are almost CSP failed to maintain quality of service (QOS) and minimal resource optimization. Some of the existing approaches are highly dedicated on scheduling policy but, it does not considered reliable services with optimized QOS. To offer best solution of above problem, the framework proposes Enhanced Minimal Resource Optimization based Scheduling Algorithm to minimize the resources and maintain the QOS.  The method avoids delay in Request-Response model in cloud environment. To avoid overload for resource allocation, the proposed design utilized optimized scheduling policy.  Proposed mechanisms utilized optimized service brokering policy to reduce the delay response in cloud environment. The framework also help cloud user to prefer best CSP according to their prior services. The method offers rising trend of resource based structure to reduce the placement churn extensively. Proposed system utilized efficient scheduling policy to transmit data request to CSP with minimal data processing time. The entire utilization is to improve the QOS of cloud service provider in the features of multi-dimensional resource. Based on experimental evaluations, proposed technique improves the CPT (Computation Processing Time) 301.72 milliseconds, BU (Bandwidth Utilization) 20 Mbps, CPUU (CPU Utilization) 5% &amp; MRU (Memory Resource Utilization) 3% on given input parameters compare than existing methodology.</span>

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.


Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 317
Author(s):  
Chithambaramani Ramalingam ◽  
Prakash Mohan

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.


Author(s):  
Mohammed Radi ◽  
Ali Alwan ◽  
Abedallah Abualkishik ◽  
Adam Marks ◽  
Yonis Gulzar

Cloud computing has become a practical solution for processing big data. Cloud service providers have heterogeneous resources and offer a wide range of services with various processing capabilities. Typically, cloud users set preferences when working on a cloud platform. Some users tend to prefer the cheapest services for the given tasks, whereas other users prefer solutions that ensure the shortest response time or seek solutions that produce services ensuring an acceptable response time at a reasonable cost. The main responsibility of the cloud service broker is identifying the best data centre to be used for processing user requests. Therefore, to maintain a high level of quality of service, it is necessity to develop a service broker policy that is capable of selecting the best data centre, taking into consideration user preferences (e.g. cost, response time). This paper proposes an efficient and cost-effective plan for a service broker policy in a cloud environment based on the concept of VIKOR. The proposed solution relies on a multi-criteria decision-making technique aimed at generating an optimized solution that incorporates user preferences. The simulation results show that the proposed policy outperforms most recent policies designed for the cloud environment in many aspects, including processing time, response time, and processing cost. KEYWORDS Cloud computing, data centre selection, service broker, VIKOR, user priorities


2021 ◽  
Vol 17 (2) ◽  
pp. 179-195
Author(s):  
Priyanka Bharti ◽  
Rajeev Ranjan ◽  
Bhanu Prasad

Cloud computing provisions and allocates resources, in advance or real-time, to dynamic applications planned for execution. This is a challenging task as the Cloud-Service-Providers (CSPs) may not have sufficient resources at all times to satisfy the resource requests of the Cloud-Service-Users (CSUs). Further, the CSPs and CSUs have conflicting interests and may have different utilities. Service-Level-Agreement (SLA) negotiations among CSPs and CSUs can address these limitations. User Agents (UAs) negotiate for resources on behalf of the CSUs and help reduce the overall costs for the CSUs and enhance the resource utilization for the CSPs. This research proposes a broker-based mediation framework to optimize the SLA negotiation strategies between UAs and CSPs in Cloud environment. The impact of the proposed framework on utility, negotiation time, and request satisfaction are evaluated. The empirical results show that these strategies favor cooperative negotiation and achieve significantly higher utilities, higher satisfaction, and faster negotiation speed for all the entities involved in the negotiation.


Author(s):  
Khalid Al-Begain ◽  
Michal Zak ◽  
Wael Alosaimi ◽  
Charles Turyagyenda

The chapter presents current security concerns in the Cloud Computing Environment. The cloud concept and operation raise many concerns for cloud users since they have no control of the arrangements made to protect the services and resources offered. Additionally, it is obvious that many of the cloud service providers will be subject to significant security attacks. Some traditional security attacks such as the Denial of Service attacks (DoS) and distributed DDoS attacks are well known, and there are several proposed solutions to mitigate their impact. However, in the cloud environment, DDoS becomes more severe and can be coupled with Economical Denial of Sustainability (EDoS) attacks. The chapter presents a general overview of cloud security, the types of vulnerabilities, and potential attacks. The chapter further presents a more detailed analysis of DDoS attacks' launch mechanisms and well-known DDoS defence mechanisms. Finally, the chapter presents a DDoS-Mitigation system and potential future research directions.


2018 ◽  
pp. 1511-1554
Author(s):  
Khalid Al-Begain ◽  
Michal Zak ◽  
Wael Alosaimi ◽  
Charles Turyagyenda

The chapter presents current security concerns in the Cloud Computing Environment. The cloud concept and operation raise many concerns for cloud users since they have no control of the arrangements made to protect the services and resources offered. Additionally, it is obvious that many of the cloud service providers will be subject to significant security attacks. Some traditional security attacks such as the Denial of Service attacks (DoS) and distributed DDoS attacks are well known, and there are several proposed solutions to mitigate their impact. However, in the cloud environment, DDoS becomes more severe and can be coupled with Economical Denial of Sustainability (EDoS) attacks. The chapter presents a general overview of cloud security, the types of vulnerabilities, and potential attacks. The chapter further presents a more detailed analysis of DDoS attacks' launch mechanisms and well-known DDoS defence mechanisms. Finally, the chapter presents a DDoS-Mitigation system and potential future research directions.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yongyang Lv ◽  
Wenju Liu ◽  
Ze Wang

Based on proxy resignature, the signature transformation between trust domains of different cryptographic systems is realized with the help of the cloud authentication center, so as to achieve cross-domain access between users and cloud service providers in heterogeneous environment. Hierarchical ID tree realizes the uniqueness of identity in communication, and the security of heterogeneous cross-domain identity authentication is enhanced by the two-factor authentication of “password + key” and temporary identity replacing real identity. The security of the scheme is proved under the CK model, which can anonymously trace entity identity, resist replay attacks, replacement attacks, and man-in-the-middle attacks, and the simulation experiment is carried out. By searching it in related fields, no paper on heterogeneous cross-domain identity authentication based on proxy resignature has been published yet. The results of this paper show that the proposed scheme has better computing performance and higher security.


2014 ◽  
Vol 701-702 ◽  
pp. 1106-1111 ◽  
Author(s):  
Xin Zheng Zhang ◽  
Ya Juan Zhang

As information and processes are migrating to the cloud, Cloud Computing is drastically changing IT professionals’ working environment. Cloud Computing solves many problems of conventional computing. However, the new technology has also created new challenges such as data security, data ownership and trans-code data storage. We discussed about Cloud computing security issues, mechanism, challenges that Cloud service providers and consumers face during Cloud engineering. Based on concerning of security issues and challenges, we proposed several encryption algorithms to make cloud data secure and invulnerable. We made comparisons among DES, AES, RSA and ECC algorithms to find combinatorial optimization solutions, which fit Cloud environment well for making cloud data secure and not to be hacked by attackers.


2020 ◽  
Vol 8 (5) ◽  
pp. 1627-1631

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.


Cloud computing is an emerging computing environment which facilitates on demand services. As it contributes a large pool of computing resources, scheduling of tasks in an efficient manner is one of the main problems. Poor allocation of tasks affects the performance of the whole system. Hence it is very important to schedule the tasks for better utilization of resources by allocating them properly to particular resources in particular time. Efficient scheduling algorithms fulfill the user requirements and also satisfy the needs of the cloud service providers without affecting the performance of the environment. Execution Time based Sufferage Algorithm (ETSA), Cost and Completion Time based Sufferage Algorithm (CCTSA) and Modified Artificial Fish Swarm(MAFSA) Algorithm are efficient task scheduling approaches developed in cloud environment. These algorithms considered the parameters such as makespan, cost and resource utilization while scheduling the tasks and produced better performance. This paper presents a scheduling framework which converts the above said algorithms in to services and deployed in the cloud. Depends on the user’s requirements, the services will be delivered.


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