Abstract: Panoramic state (Analog or Digital) data is one of the most critical requirement for Smart grid operation, and during the management, operation and upkeeping of smart grid heavy heterogeneous and multi-state data, called the large (Big) data, are generated. In 21th century, how to store this data more reliably and more cheaply and data-approach and analyze them briskly are critical research subjects. In the first phase, the source of this large data generated in diverse process of smart grid, for example power generation, transmission, transformation and utilization and the elements of this data are analyzed. In second phase, the present large data processing methods adopted in the fields of industrial monitoring, internet and business are summarized, and the positive consequences and drawbacks of these methods in coping with the construction of smart grid and large data processing are analyzed in detail. Lastly, in the aspects of large data storage, real-time data operation and fusion of heterogeneous multi-data sources and visual resolving of large data, the chances and challenges brought by smart grid large data are clarified in detail.

Keywords: Parallel Database; Large/Big Data; smart grid; cloud computing.
Title: 21st Century Present Condition and Challenges Related To Large-Scale Data Processing In Smart Grid and Optional Framework for Large Data Storage and Analysis
Author: Arslan Habib, Hafiz Muhammad Hafeez
ISSN 2394-7314
International Journal of Novel Research in Computer Science and Software Engineering
Novelty Journals

Abstract: In this paper, I have deeply analyzed and outlined the development of demand response (DR) in the smart grid. By now, smart grid has turned into a common and generic development trend of the traditional grid, as it can meet the development requirements of the society. In the first phase, an investigation of the current situation of local (china) and overseas demand responses had been made. Secondly, I tried to summarize DR (Demand Response) related research status from several aspects, such as simple interpretation of demand response, incentive mechanism design, scientific support platform technologies, benefit analysis, integration of wind power and so on. With merged analysis of some typical application situations, this paper identified the current issues in the implementation of DR and related comparative measures. Hope in future, this paper will provide reference for the development of smart power application and demand response (DR).
Keywords: demand side management; smart grid; smart power utilization; demand response (DR).
Title: Overview of Leading Methodologies for Demand Response in Smart Grid and Demand Response case overview in china and abroad
Author: Arslan Habib
ISSN 2394-7314
International Journal of Novel Research in Computer Science and Software Engineering
Novelty Journals

Abstract: It is not recommended, however it is possible while working with block ciphers, to use the same secret key bits for encrypting the same plaintext parts. Using one deterministic algorithm for some number of identical input data, results in some number of identical ciphertext blocks.
It is a very dangerous situation for the cipher's users. An intruder would be able to get much information knowing a distribution of identical message parts, even if he would not be able to break the cipher and discover original messages.
There are ways to blur and mix plaintext blocks (which are known) with ciphertext blocks (which are created). They can prevent many identical output ciphertext blocks. These methods are called the block cipher modes of operations.

Keywords: ciphertext, ECB, CBC, CFB, CTR.
Title: Data Encryption Standard (DES)
Author: Omer Farooq Ahmed, Mustfa Mhamed Ali
ISSN 2394-7314
International Journal of Novel Research in Computer Science and Software Engineering
Novelty Journals
 

Abstract: This term paper gives an introduction to service cloud explaining the Saas software as a service. The basic goal of the paper is to explain to the reader the drawbacks of the traditional ways of service provisions to the costumers and introduce to the reader the new dimensions in service providing that is Service cloud through the cloud computing techniques. The world is a not the traditional service centre any more. Companies are moving towards the service solutions such as software as a service, unlike the traditional on premise customer support and service centres the world now needs global online dynamic costumer support and service solutions. This paper illustrates three things what is Saas, How useful it is, and what is the future of service cloud.

Keywords: Software as a service, Cloud security, virtualisation, CRM, Customer Support.
Title: Service Provisions for Cloud Costumers
Author: Basheer Abdul Mutalib Hasson, Haider Ali Mohammed
ISSN 2394-7314
International Journal of Novel Research in Computer Science and Software Engineering
Novelty Journals
 

Abstract: Software reliability prediction is very challenging in maintenance phase as well as in the starting phases of software development. In the past few years many software reliability models have been proposed for assessing reliability of software but developing accurate reliability prediction models is difficult due to the recurrent or frequent changes in data in the domain of software engineering. As a result, the software reliability prediction models built on one dataset show a significant decrease in their accuracy when they are used with new data. The objective of this paper is to introduce a new approach that optimizes the accuracy of software reliability predictive models when used with raw data. Ant Colony Optimization Technique (ACOT) is proposed to predict software reliability based on data collected from literature. An ant colony system by combining Travelling Sales Problem (TSP) algorithm has been used, which has been changed by implementing different algorithms and extra functionality, in an attempt to achieve better software reliability results with new data for change oriented systems.
The intellectual behavior of the ant colony framework by means of a colony of cooperating artificial ants are resulting in very promising results. The method is validated with real dataset using Mean Time to Failure (MTTF) and Mean Time Between Failure (MTBF).

Keywords: Software Reliability, Bio-inspired Computing, Ant Colony Optimization technique.
Title: A Quick Development Model for Predicting Software Reliability Using Ant Colony Optimization Technique for Change Oriented Software Process
Author: D. Hema Latha, Prof. P. Premchand
ISSN 2394-7314
International Journal of Novel Research in Computer Science and Software Engineering
Novelty Journals