A Scalable Data Platform for Cloud Computing Systems

2014 ◽  
Vol 577 ◽  
pp. 860-864
Author(s):  
Liang Liu ◽  
Tian Yu Wo
Keyword(s):  
Cloud Computing ◽  
Web Applications ◽  
Cost Effective ◽  
Computing Systems ◽  
Cluster Architecture ◽  
Geographically Dispersed ◽  
Use Of Resources ◽  
Asynchronous Replication ◽  
Time Period ◽  
Data Platform

With cloud computing systems becoming popular, it has been a hotspot to design a scalable, highly available and cost-effective data platform. This paper proposed such a data platform using MySQL DBMS blocks. For scalability, a three-level (system, super-cluster, cluster) architecture is applied, making it scalable to thousands of applications. For availability, we use asynchronous replication across geographically dispersed super clusters to provide disaster recovery, synchronous replication within a cluster to perform failure recovery and hot standby or even process pair mechanism for controllers to enhance fault tolerance. For resource utility, we design a novel load balancing strategy by exploiting the key property that the throughput requirement of web applications is flucatuated in a time period. Experiments with NLPIR dataset indicate that the system can scale to a large number of web applications and make good use of resources provided.

Green Cloud Computing

2018 ◽  
pp. 114-136
Author(s):  
Indira K. ◽  
Thangavel M.
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Web Applications ◽  
Performance Metrics ◽  
Cost Effective ◽  
Critical Issue ◽  
Efficient Solutions ◽  
Cloud Infrastructure ◽  
Total Energy Consumption ◽  
Green Cloud

Cloud computing is a highly scalable and cost-effective infrastructure for running HPC, enterprise and Web applications. However, the growing demand of Cloud infrastructure has drastically increased the energy consumption of data centers, which has become a critical issue. High energy consumption not only translates to high operational cost, which reduces the profit margin of Cloud providers, but also leads to high carbon emissions which is not environmentally friendly. Hence, energy-efficient solutions are required to minimize the impact of Cloud computing on the environment. Thus, in this chapter, we discuss various elements of Green Clouds which contribute to the total energy consumption. The chapter also explains the role of Green Cloud Performance metrics and Green Cloud Architecture.

A Comprehensive Study on Commercial Applications of Cloud Computing

2020 ◽  
Vol 17 (9) ◽  
pp. 4411-4418
Author(s):  
S. Jagannatha ◽  
B. N. Tulasimala
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Service Providers ◽  
Cost Effective ◽  
Computer Hardware ◽  
Computing Technology ◽  
Computing Systems ◽  
Computational Performance

In the world of information communication technology (ICT) the term Cloud Computing has been the buzz word. Cloud computing is changing its definition the way technocrats are using it according to the environment. Cloud computing as a definition remains very contentious. Definition is stated liable to a particular application with no unanimous definition, making it altogether elusive. In spite of this, it is this technology which is revolutionizing the traditional usage of computer hardware, software, data storage media, processing mechanism with more of benefits to the stake holders. In the past, the use of autonomous computers and the nodes that were interconnected forming the computer networks with shared software resources had minimized the cost on hardware and also on the software to certain extent. Thus evolutionary changes in computing technology over a few decades has brought in the platform and environment changes in machine architecture, operating system, network connectivity and application workload. This has made the commercial use of technology more predominant. Instead of centralized systems, parallel and distributed systems will be more preferred to solve computational problems in the business domain. These hardware are ideal to solve large-scale problems over internet. This computing model is data-intensive and networkcentric. Most of the organizations with ICT used to feel storing of huge data, maintaining, processing of the same and communication through internet for automating the entire process a challenge. In this paper we explore the growth of CC technology over several years. How high performance computing systems and high throughput computing systems enhance computational performance and also how cloud computing technology according to various experts, scientific community and also the service providers is going to be more cost effective through different dimensions of business aspects.

scholarly journals Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges

2021 ◽  
Vol 11 (19) ◽  
pp. 9005
Author(s):  
Yara Alghofaili ◽  
Albatul Albattah ◽  
Noura Alrajeh ◽  
Murad A. Rassam ◽  
Bander Ali Saleh Al-rimy
Keyword(s):  
Cloud Computing ◽  
Cost Effective ◽  
Future Research ◽  
Data Loss ◽  
Cloud Infrastructure ◽  
Computing Systems ◽  
Security Issues ◽  
Effective Manner ◽  
Comprehensive Survey ◽  
New Challenges

Cloud computing is currently becoming a well-known buzzword in which business titans, such as Microsoft, Amazon, and Google, among others, are at the forefront in developing and providing sophisticated cloud computing systems to their users in a cost-effective manner. Security is the biggest concern for cloud computing and is a major obstacle to users adopting cloud computing systems. Maintaining the security of cloud computing is important, especially for the infrastructure. Several research works have been conducted in the cloud infrastructure security area; however, some gaps have not been completely addressed, while new challenges continue to arise. This paper presents a comprehensive survey of the security issues at different cloud infrastructure levels (e.g., application, network, host, and data). It investigates the most prominent issues that may affect the cloud computing business model with regard to infrastructure. It further discusses the current solutions proposed in the literature to mitigate the different security issues at each level. To assist in solving the issues, the challenges that are still unsolved are summarized. Based on the exploration of the current challenges, some cloud features such as flexibility, elasticity and the multi-tenancy are found to pose new challenges at each infrastructure level. More specifically, the multi-tenancy is found to have the most impact at all infrastructure levels, as it can lead to several security problems such as unavailability, abuse, data loss and privacy breach. This survey concludes by giving some recommendations for future research.

scholarly journals RSA Algorithm achievement with Federal information processing Signature for Data protection in Cloud Computing

2012 ◽  
Vol 3 (1) ◽  
pp. 34-38 ◽  
Author(s):  
Abhishek Patial ◽  
Sunny Behal
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Web Applications ◽  
It Services ◽  
Computing Systems ◽  
Rsa Algorithm ◽  
Secure Data ◽  
Security Algorithm ◽  
The Given ◽  
Core Problem

Cloud computing presents IT organizations with a funda­mentally different model of operation, one that takes advantage of the maturity of web applications and networks and the rising interoperability of computing systems to provide IT services. Data security is becoming a core problem in cloud computing, there are some kind of solution that are provide some security with model, some technology. In this paper is attempt to secure data from unauthorized access, the Method of data security is RSA algorithm for providing data security by encrypting the given data based on the KEY combinations. And this data then can only be decrypted by authorized person by using his private key. For the same purpose Google application cloud has been implemented on IJCT Foundation, all data has of IJCT Foundation sifted to Google cloud and RSA security algorithm is implemented by us for secure data.

scholarly journals Multijob Associated Task Scheduling for Cloud Computing Based on Task Duplication and Insertion

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Lei Shi ◽  
Jing Xu ◽  
Lunfei Wang ◽  
Jie Chen ◽  
Zhifeng Jin ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Computing Systems ◽  
Use Of Resources ◽  
Task Scheduling Algorithm ◽  
Task Duplication ◽  
Insertion Algorithm ◽  
Speed Up ◽  
Execution Order

With the emergence and development of various computer technologies, many jobs processed in cloud computing systems consist of multiple associated tasks which follow the constraint of execution order. The task of each job can be assigned to different nodes for execution, and the relevant data are transmitted between nodes to complete the job processing. The computing or communication capabilities of each node may be different due to processor heterogeneity, and hence, a task scheduling algorithm is of great significance for job processing performance. An efficient task scheduling algorithm can make full use of resources and improve the performance of job processing. The performance of existing research on associated task scheduling for multiple jobs needs to be improved. Therefore, this paper studies the problem of multijob associated task scheduling with the goal of minimizing the jobs’ makespan. This paper proposes a task Duplication and Insertion algorithm based on List Scheduling (DILS) which incorporates dynamic finish time prediction, task replication, and task insertion. The algorithm dynamically schedules tasks by predicting the completion time of tasks according to the scheduling of previously scheduled tasks, replicates tasks on different nodes, reduces transmission time, and inserts tasks into idle time slots to speed up task execution. Experimental results demonstrate that our algorithm can effectively reduce the jobs’ makespan.

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