Novel availability and integrity verification protocol for ISMAC system under cloud environment

2017 ◽  
Vol 57 ◽  
pp. 209-219 ◽  
Author(s):  
Jun Li
Keyword(s):  
Cloud Environment ◽  
Integrity Verification

scholarly journals Integrity Verification Mechanisms Adopted in Cloud Environment

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1713-1717
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Input Data ◽  
Computational Cost ◽  
Internet Access ◽  
Data Availability ◽  
Cloud Environment ◽  
Integrity Verification ◽  
On Demand ◽  
Data Auditing

Cloud computing has changed the shape of computing world. Now a-days users are not worried about the computational cost and infrastructure cost because of the maximum availability of all the resources are available on demand. The most widely used feature used by the users are storage as a service given by the cloud computing providers. Users can upload and access the data anywhere anytime time with the help of internet access. As with the usability of the storage as a service, is increasing the risk of security of the information are also increasing. Data security on the cloud is the prominent area for researchers and number of techniques and algorithms has been proposed to assure the integrity, consistency and data availability. In this paper a number of data auditing mechanism used by different cloud providers have been discussed and optimized integrity verification mechanism have been proposed to overcome the limitations of existing approaches. The communication overheads are compiled and calculated with different input data size. A comparative analysis is also prepared to justify the proposed approach

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

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