Anatoliy Zabrovskiy^1,3, Prateek Agrawal^1,2,*, Vladislav Kashansky¹, Roland Kersche⁴, Christian Timmerer^1,4, Radu Prodan¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5677-5697, 2022, DOI:10.32604/cmc.2022.023630 - 14 January 2022

Abstract HTTP Adaptive Streaming (HAS) of video content is becoming an undivided part of the Internet and accounts for most of today's network traffic. Video compression technology plays a vital role in efficiently utilizing network channels, but encoding videos into multiple representations with selected encoding parameters is a significant challenge. However, video encoding is a computationally intensive and time-consuming operation that requires high-performance resources provided by on-premise infrastructures or public clouds. In turn, the public clouds, such as Amazon elastic compute cloud (EC2), provide hundreds of computing instances optimized for different purposes and clients’ budgets. Thus,… More >

Punit Gupta¹, Sanjit Bhagat², Dinesh Kumar Saini^1,*, Ashish Kumar², Mohammad Alahmadi³, Prakash Chandra Sharma¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5659-5676, 2022, DOI:10.32604/cmc.2022.023056 - 14 January 2022

Abstract In the next generation of computing environment e-health care services depend on cloud services. The Cloud computing environment provides a real-time computing environment for e-health care applications. But these services generate a huge number of computational tasks, real-time computing and comes with a deadline, so conventional cloud optimization models cannot fulfil the task in the least time and within the deadline. To overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the… More >

Sami Ullah Khan¹, Babar Nazir¹, Muhammad Hanif^2,*, Akhtar Khalil ³, Sardar Alam¹, Usman Habib⁴

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4199-4220, 2022, DOI:10.32604/cmc.2022.020852 - 14 January 2022

Abstract The cloud service level agreement (SLA) manage the relationship between service providers and consumers in cloud computing. SLA is an integral and critical part of modern era IT vendors and communication contracts. Due to low cost and flexibility more and more consumers delegate their tasks to cloud providers, the SLA emerges as a key aspect between the consumers and providers. Continuous monitoring of Quality of Service (QoS) attributes is required to implement SLAs because of the complex nature of cloud communication. Many other factors, such as user reliability, satisfaction, and penalty on violations are also… More >

Mehran Mokhtari¹, Homayun Motameni^1,*, Peyman Bayat²

Computer Systems Science and Engineering, Vol.42, No.2, pp. 659-675, 2022, DOI:10.32604/csse.2022.021729 - 04 January 2022

Abstract In this study, a new feature is added to the smart message passing interface (SMPI) approach (SMPIA) based on the prioritization method, which can completely eliminate the task starvation and lack of sufficient resources problems through prioritizing the tasks. The proposed approach is based on prioritizing the tasks and the urgency of implementation. Tasks are prioritized based on execution time, workload, the task with a more sensitive priority is executed earlier by the free source. The idea of demand-bound functions (DBFs) was extended to the SMPIA setting based on partitions and caps. For each task,… More >

Liang Dai¹, AoSong He¹, Guang Sun^1,3, Yuxing Pan^2,*

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1831-1842, 2022, DOI:10.32604/iasc.2022.022438 - 09 December 2021

Abstract In order to unify the management and scheduling of cloud resources, cloud platforms use virtualization technology to re-integrate multiple computing resources in the cloud and build virtual units on physical machines to achieve dynamic provisioning of resources by configuring virtual units of various sizes. Therefore, how to reasonably determine the mapping relationship between virtual units and physical machines is an important research topic for cloud resource scheduling. In this paper, we propose a fair cloud virtual machine resource allocation method of using the stable matching theory. Our allocation method considers the allocation of resources from… More >

Wael Said¹, Elsayed Mostafa^1,*, M. M. Hassan¹, Ayman Mohamed Mostafa²

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3193-3209, 2022, DOI:10.32604/cmc.2022.023554 - 07 December 2021

Abstract User's data is considered as a vital asset of several organizations. Migrating data to the cloud computing is not an easy decision for any organization due to the privacy and security concerns. Service providers must ensure that both data and applications that will be stored on the cloud should be protected in a secure environment. The data stored on the public cloud will be vulnerable to outside and inside attacks. This paper provides interactive multi-layer authentication frameworks for securing user identities on the cloud. Different access control policies are applied for verifying users on the… More >

R. Joshua Samuel Raj¹, V. Ilango², Prince Thomas³, V. R. Uma⁴, Fahd N. Al-Wesabi^5,6,*, Radwa Marzouk⁷, Anwer Mustafa Hilal⁸

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4101-4114, 2022, DOI:10.32604/cmc.2022.022063 - 07 December 2021

Abstract Internet of things (IoT) has been significantly raised owing to the development of broadband access network, machine learning (ML), big data analytics (BDA), cloud computing (CC), and so on. The development of IoT technologies has resulted in a massive quantity of data due to the existence of several people linking through distinct physical components, indicating the status of the CC environment. In the IoT, load scheduling is realistic technique in distinct data center to guarantee the network suitability by falling the computer hardware and software catastrophe and with right utilize of resource. The ideal load… More >

Tahir Alyas¹, Iqra Javed¹, Abdallah Namoun², Ali Tufail², Sami Alshmrany², Nadia Tabassum^3,*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3019-3033, 2022, DOI:10.32604/cmc.2022.019836 - 07 December 2021

Abstract Efforts were exerted to enhance the live virtual machines (VMs) migration, including performance improvements of the live migration of services to the cloud. The VMs empower the cloud users to store relevant data and resources. However, the utilization of servers has increased significantly because of the virtualization of computer systems, leading to a rise in power consumption and storage requirements by data centers, and thereby the running costs. Data center migration technologies are used to reduce risk, minimize downtime, and streamline and accelerate the data center move process. Indeed, several parameters, such as non-network overheads… More >

C. Saravanakumar^1,*, R. Priscilla¹, B. Prabha², A. Kavitha³, M. Prakash⁴, C. Arun⁵

Computer Systems Science and Engineering, Vol.42, No.1, pp. 245-256, 2022, DOI:10.32604/csse.2022.022122 - 02 December 2021

Abstract Cloud Computing provides various services to the customer in a flexible and reliable manner. Virtual Machines (VM) are created from physical resources of the data center for handling huge number of requests as a task. These tasks are executed in the VM at the data center which needs excess hosts for satisfying the customer request. The VM migration solves this problem by migrating the VM from one host to another host and makes the resources available at any time. This process is carried out based on various algorithms which follow a predefined capacity of source… More >

Hsin-Pin Fu^1,*, Tsung-Sheng Chang², Chien-Hung Liu³, Li-Chun Liu¹

Computer Systems Science and Engineering, Vol.42, No.1, pp. 213-227, 2022, DOI:10.32604/csse.2022.021767 - 02 December 2021

Abstract The advantages of a cloud computing service are cost advantages, availability, scalability, flexibility, reduced time to market, and dynamic access to computing resources. Enterprises can improve the successful adoption rate of cloud computing services if they understand the critical factors. To find critical factors, this study first reviewed the literature and established a three-layer hierarchical factor table for adopting a cloud computing service based on the Technology-Organization-Environment framework. Then, a hybrid method that combines two multi-criteria decision-making tools—called the Fuzzy Analytic Network Process method and the concept of VlseKriterijumska Optimizacija I Kompromisno Resenje acceptable advantage—was More >