International Journal of Distributed and Cloud Computing

R. Santhosh ¹, T. Ravichandran ²

Affiliations
1 Department of Computer Science and Engineering, Karpagam University, Coimbatore, Tamil Nadu., IN
2 Hindusthan Institute of Technology, Coimbatore, Tamil Nadu., IN

Abstract

In cloud computing, various services are accessed by the different types of clients as pay per use over the internet. This paper presents a new scheduling technique for real time tasks in order to minimize the execution time and focuses on the priority constrained tasks. In older approaches, a non-preemptive scheduling with task migration algorithm is used to schedule the task with highest expected gain and executes the tasks in the queue in a non-preemptive manner. Therefore it increases the execution time of the task and response time of the priority constrained tasks. In order to overcome this problem, a priority constrained pre-emptive scheduling of online real time services with fixed checkpoint intervals is proposed to minimize the execution time of the tasks and improves the overall system performance by giving importance for higher priority tasks. Our simulation results outperform the traditional scheduling algorithms based on the similar model.

Keywords

Execution Time, Priority, Deadline, Preemptive, Checkpoint Intervals

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R. Sindhuja ¹, R. Santhosh ¹

Affiliations
1 Department of Computer Science and Engineering, Karpagam University, Coimbatore, Tamil Nadu, IN

Abstract

Cloud computing offers ability to provide parallel and distributed simulated services remotely to the users through the internet. Services hosted within the "cloud" can potentially incur processing delay due to load sharing among other active services , and can cause active optimistic simulation protocols to perform poorly. Number of complex application runs in remote data centres, parallel processing capabilities often show a increase in utilization of CPU resources as parallelism grows, mainly because of communication and synchronization. To achieve certain level of utilization, Our proposed method partitions a node's computing capacity into the 4-tiers with low CPU priority, medium CPU priority, high CPU priority and very high CPU priority. In large datacenter, processes of a job may need to be allocated to nodes that are close to each other to minimize the communication cost. We provide scheduling algorithms for parallel jobs to make efficient use of the k-tiers VMs to improve the responsiveness of these jobs. We focus on improving resource utilization for datacenters that run parallel jobs; particularly we intend to make use of the remaining computing capacity of datacenter nodes that run parallel processes with low resource utilization to improve the performance of parallel job scheduling. The method is practical and effective for consolidating parallel workload in data centres.

Keywords

Distributed Computing, Parallel Computing, Parallel Simulation, Resource Consolidation, Scheduling, Virtualization.

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R. Santhosh ¹, A. Ramya ²

Affiliations
1 Department of Computer Science and Engineering, University, Coimbatore, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Karpagam University, Coimbatore, Tamil Nadu, IN

Abstract

Cloud infrastructure service provider allows the users to place their business application into availability zone across various regions world-wide by enabling enterprises like amazon with sufficient capability. Amazon EC2 is an instance to be placed in a zone to provision their resources to run their own applications. Multiple availability zones are composed and located in single region each one is different from its character specification because of its hardware and software built version. These zones allows achieving higher availability with lower failure rates but may results in different quality of service against user requirements. This situation may not advertised by cloud infrastructure service provider. In this paper, we proposed the prediction model build by repeated k-fold cross validation, which overcomes the prediction error Type-I exist in k-fold cross validation. This proposed technique helps us to predict optimum availability zone with best user satisfaction level for amazons EC2 placement in heterogeneous environment.

Keywords

Availability Zone, Machine Learning Technique, Repeated k-Fold Cross Validation, Prediction Model.

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R. Santhosh ¹, K. Kalaiyarasi ¹

Affiliations
1 Department of Computer Science and Engineering, Karpagam University, IN

Abstract

Cloud computing is a concept which is popular among not only software professionals but also common internet users. It allows a program to be executed on multiple connected machines at the same time over a network. Deduplication is one way of ensuring that the network and storage overhead is minimized. Digital data is growing exponentially and by removing redundancy deduplication technique achieves this. There are many deduplication schemes proposed but these schemes only focuses on the files without encryption. Convergent encryption allows the cloud to enable deduplication on encrypted files. However, it is vulnerable to dictionary attacks. In this paper, we propose a new scheme to address this issue. Instead of deriving the encryption key from the entire content, encryption key will be derived from each block of the content. Encrypted password of the user will be appended with the file content to make the file unique among the users. This will allow the files to be protected from the confirmation of the file attack.

Keywords

Attacks, Cloud, Deduplication, Encryption, Storage.

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R. Santhosh ¹, J. Pradeep ¹

Affiliations
1 Department of Computer Science and Engineering, Karpagam University, Coimbatore, Tamil Nadu, IN

Abstract

Many organizations are moving their IT infrastructure to cloud and many are getting ready to move their IT infrastructure to cloud. Leading players in cloud market Amazon and Microsoft are reporting huge increase in the sale of their cloud products. Still many organization have questions on the security and being dependent on the vendor to deliver their service. To overcome some of the concerns of the single cloud storage Multicloud storage was introduced. In this paper we have proposed the Secure, Reliable and High performance cloud storage above multicloud environment.

Keywords

Multi-Cloud, Vendor, Security.

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R. Santhosh ¹, I. S. Suhail ¹

Affiliations
1 Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, IN

Abstract

The exponential growth of internet technology has led to millions of queries being processed every minute. In order to provide the user with the best result, the search engine uses various algorithms to rule out the unnecessary links from their index and rank the web pages with the relevant keywords. The search engine is a webpage embedded with advanced algorithms and programs that enable a user to find or search any query and provide the user with the most relevant data by identifying the keywords. In order for a website to gain ranks among their highest, the methodology of SEO is followed. SEO, Search Engine Optimization is the process of optimizing the webpage in order to rank up in the respective search engine. Google search engine uses various algorithms such as Hummingbird, Panda, Penguin, etc. to analyze the website and rank them accordingly. In this paper, an attempt is made to address what Search Engine Optimization is and its importance along with various algorithms used by Google for ranking and analyzing a website.

Keywords

Algorithm, Google, Keywords, Query, Rank, Search Engine Optimization, SEO, Webpage, Website.

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