2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)最新文献

{"title":"Task scheduling in Cloud computing","authors":"A. Razaque, Nikhileshwara Reddy Vennapusa, Nisargkumar Soni, Guna Sree Janapati, Khilesh Reddy Vangala","doi":"10.1109/LISAT.2016.7494149","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494149","url":null,"abstract":"Wireless Cloud computing delivers the data and computing resources through the internet, on a pay for usage basis. By using this, we can automatically update our software. We can use only the space required for the server, which reduces the carbon footprint. Task scheduling is the main problem in cloud computing which reduces the system performance. To improve system performance, there is need of an efficient task-scheduling algorithm. Existing task-scheduling algorithms focus on task-resource requirements, CPU memory, execution time and execution cost. However, these do not consider network bandwidth. In this paper, we introduce an efficient task-scheduling algorithm, which presents divisible task scheduling by considering network bandwidth. By this, we can allocate the workflow based on the availability of network bandwidth. Our proposed task-scheduling algorithm uses a nonlinear programming model for divisible task scheduling, which assigns the correct number of tasks to each virtual machine. Based on the allocation, we design an algorithm for divisible load scheduling by considering the network bandwidth.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126858168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interface for querying and data mining for the IMDb dataset","authors":"M. Butler, S. Robila","doi":"10.1109/LISAT.2016.7494103","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494103","url":null,"abstract":"This paper describes the design and implementation of a tool to extract the IMDb dataset files and import them into a database. This approach differs from other published tools or research in that the previous work used relational databases. This tool uses document oriented data structures, and allows others to augment the code to change structures based on their needs. The project development required the use of technologies currently in demand for web developers and software engineers, which allows other developers to fork a copy of the work and utilize in their own work. In addition, it provided the project team an opportunity to develop additional marketable skills. Finally, a web interface to perform queries against the import data to validate the import process was also developed. These queries include searching by people's names, searching by movie/tv titles, or viewing specific data on an individual person or movie/tv title..","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A DCT-based robust video steganographic method using BCH error correcting codes","authors":"Ramadhan J. Mstafa, K. Elleithy","doi":"10.1109/LISAT.2016.7494111","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494111","url":null,"abstract":"Due to the significant growth of video data over the Internet, it has become a popular choice for data hiding field. The performance of any steganographic algorithm relies on the embedding efficiency, embedding payload, and robustness against attackers. Low hidden ratio, less security, and low quality of stego videos are the major issues of many existing steganographic methods. In this paper, we propose a DCT-based robust video steganographic method using BCH codes. To improve the security of the proposed algorithm, a secret message is first encrypted and encoded by using BCH codes. Then, it is embedded into the discrete cosine transform (DCT) coefficients of video frames. The hidden message is embedded into DCT coefficients of each Y, U, and V planes excluding DC coefficients. The proposed algorithm is tested under two types of videos that contain slow and fast moving objects. The results of the proposed algorithm are compared with three existing methods. The results demonstrate better performance for the proposed algorithm than for the others. The hidden ratio of the proposed algorithm is approximately 27.53%, which is evaluated as a high hiding capacity with a minimal tradeoff of the visual quality. The robustness of the proposed algorithm was tested under different attacks.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121684394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross layer survivability in WDM-based networks","authors":"Sidharth Abhishek Gunnu, Andre Molouken, Ovie P. Umukoro, Gursharan Singh, Imran Mir, O. Abuzaghleh","doi":"10.1109/LISAT.2016.7494143","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494143","url":null,"abstract":"In the concept of network layers, a failure at one layer can cause failures in preceding layers of the network architecture. With that in mind, it is very likely that the methods to handle such problems in traditional networks may not work as effectively in Multilayer Networks. The focus of this team is to maximize the connectivity of Wavelength Division Multiplexing layered networks as efficiently and cost-effectively as possible. Based on the efforts of our predecessors, we will be focusing on two approaches. One is the Min Cross Layer Cut, and the second is a Minimized version of the previous algorithm.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130578941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Software implementation of IPv4 to IPv6 migration","authors":"V. K. K. Terli, Swetha Prabha Chaganti, Navya Bharathi Alla, Shobhitha Sarab, Tarik El Taeib","doi":"10.1109/LISAT.2016.7494160","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494160","url":null,"abstract":"Change is necessary to update for IPV6 and evolution in Internet is inevitable, ever since the Internet was born. Internet protocols kept on improving and changing dramatically. They expose new challenges and new features. It's high time that our Internet address have to be upgraded as heap of thing around us got upgraded. Internet protocol is currently version 4 and is being upgraded to 6. Internet was once very inaccessible and limited to very few mass, but today it's a primary quill and basic need. Every user has connectivity through various range of devices such as Laptop's, tablet's, desktop's and IOT (Internet of Things). A few decades ago one IP per user was sufficient but now a user with a range of devices needs more than 8 IP's on average. This resulted in exhausting IP at IANA (Internet Assigned Number Authority) and forcing it to update and upgrade to a better version of protocol. Although the new version looks promising, it has to overcome certain challenges of compatibility. IPV6 is similar to IPV4 but it has very significant features it's easy to adopt, but highly irritating for transition. Although for quite a few years many transition techniques are introduced but not all could actually bring a change due to the lack of flexibility and the amount of difficulty involved. This approach not only aid in retaining the present good practices but also supplies the goodies of modern version unless the transition is complete. Nonetheless, even after transition we will have to be able to have the previous generation utilities still being legitimate and not being void. Certain features such as Auto-configuration of IPV6 will build users to mislead ISP and access higher volumes of data at greater than usual speeds they're allotted. Specific blocked sites may be unblocked by connecting to any IP over the globe as a result resulting a deep flaw within the grounds of security. Security is a most important trouble over Internet, because of above flaws very less are ready to adopt this latest IP variant. This paper deals with IPV6 transition in much huge sense, permitting ISP's to keep the existing security principles still valid making internet a long way safer than ever before. This paper presents a software solution to help the transition, it re-addresses the basic needs and finally establishes a feasible solution which still maintains the applicability and maintainability of both systems until the last device upgrades to ipv6 with no compromise to any existing applications or new applications to come. The solution proposed is for ISP's and the backbone providers of internet and not for individual users.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130698404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An efficient peer-to-peer platform for large scale data processing in network applications","authors":"Himaja Amidala, K. Shankar, Tarik El Taeib","doi":"10.1109/LISAT.2016.7494159","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494159","url":null,"abstract":"The corporate system / network is frequently utilized for sharing data or information among the cloud in considering interest in organizations and encouraging cooperation in a certain industry segment where organizations share a common interest. It can adequately help the organizations to decrease their operational expenses and expand the revenues. Nonetheless, the inter-company (organization) information sharing and processing stances unique difficulties to such an information administration framework including adaptability, performance (execution), throughput, and security. In this paper, we introduce Best Peer, a framework or system which conveys elastic information sharing administrations or services for corporate system applications in the cloud related to Best Peer-a distributed (P2P) based information or data administration stage of platform. By incorporating cloud computing, database, and P2P innovative technologies into one system, Best Peer provides economical, adaptable and versatile stage for corporate system applications and conveys information sharing administrations or services to participants taking into account the generally acknowledged pay-as-you-go business model. We assess Best Peer on Amazon EC2 Cloud platform. The benchmarking results demonstrate that Best Peer beats Hadoop DB, an as of late proposed expansive scale information processing framework, in execution when both systems are utilized to handle average corporate system workloads. The benchmarking results likewise show that Best Peer accomplishes close linear scalability for throughput as for the number of peer nodes.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127951611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network traffic measurement and analysis","authors":"D. Mistry, Prasad Modi, Kaustubh Deokule, Aditi Patel, Harshagandha Patki, O. Abuzaghleh","doi":"10.1109/LISAT.2016.7494141","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494141","url":null,"abstract":"Today one cannot think of life without the Internet. The Internet has grown at a very fast pace, which has resulted in heavy Internet traffic. Most of today's internet traffic is due to video streaming services such as YouTube and Netflix. The Average traffic load has risen, and data traffic patterns have also become unpredictable. Therefore, network traffic monitoring and analysis have become essential in order to troubleshoot and resolve problems effectively when they occur, so that network services do not stand still for long durations of time. Traffic monitoring is a technique which constantly monitors the network traffic and notifies the administrator whenever there is an outage. There are many network monitoring tools available for network administrators, which use different monitoring techniques in order to monitor and analyze network traffic. In this paper, we present different network monitoring approaches and different tools that monitor and analyze network traffic. In addition to this, we also present results by comparing different network monitoring tools.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130283159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Confidential Synchronized Anti-Tag Cloning for securing Radio Frequency Identification communication","authors":"B. Patel, G. Ramesh, Sreekar Karna, A. Razaque","doi":"10.1109/LISAT.2016.7494154","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494154","url":null,"abstract":"Radio Frequency Identification (RFID) provides easier identification of the data object. This process involves tagging an object to a transmitter which emits a burst of information including identification of the tag. The identification process and the various components involved in the transmission, identification and receiving of the radio waves. However, RFID suffer from data leaks, apart from this, it experiences severe security threats such as, Privacy, Security and Integrity. In this paper, Confidential Synchronized Anti-Tag Cloning (CSATC) is introduced, a method to secure the tag from being cloned with the help of back end server. The CSATC is validated using Efficient and Reliable Trivial RFID Authentication (ERTRA) algorithm. In ERTRA algorithm, implementation of Synchronous Secrets Method (SSM) and Optimal Trivial RFID Authentication Protocol (O-TRAP) are considered. This method efficiently processes the algorithm and, the privacy and security problem can be solved.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127404223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scalable and energy efficient computer vision for text translation","authors":"R. Kolk, A. Razaque","doi":"10.1109/LISAT.2016.7494152","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494152","url":null,"abstract":"Developments in cloud computing and smart phone technology have opened the door for many unique applications to be created. One of such applications is the ability to allow users to use computer vision with a camera on their phone to translate foreign signs into their native language. However, early adopters of this technology are far from optimal when it comes to features and robustness of their apps. Exploring options for optimizing allocation of resources and maximizing features of these apps can greatly improve the technology for users and distributors alike. In this paper we introduce a scalable and energy efficient computer vision protocol for the text translation to reduce power consumption, improving the data usage, and accuracy of translation. Our proposed idea is based on a camera driven process algorithm and an energy-efficient model to improve energy efficiency and provide the scalability support for foreign language translation. To validate the proposed idea, a Java based platform is developed. Furthermore, the performance of our application is test and compared with other applications of the same purpose. In the testing process, we randomly selected the set of words between languages. Our results demonstrate that our proposed energy efficient and scalable application showed much better performance than existing applications including google App.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132060029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluate H2Hadoop and Amazon EMR performances by processing MR jobs in text data sets","authors":"Hamoud H. Alshammari, JeongKyu Lee, H. Bajwa","doi":"10.1109/LISAT.2016.7494105","DOIUrl":"https://doi.org/10.1109/LISAT.2016.7494105","url":null,"abstract":"Text data is defined as sequences of characters that may become big data that has no specific format and only can be processed using the original Hadoop. Amazon Web Services AWS provides virtual Cloud Computing services such as storing data using S3 service and processing big data using EMR service. Amazon Elastic MapReduce EMR uses the original Hadoop as a processing environment to its Cloud Computing services. Also, H2Hadoop is a developed version of Hadoop that provides big data processing service that uses the metadata of related jobs to improve Hadoop performance. In this paper, we process a find sequence job in text data using Amazon EMR and H2Hadoop, and we came up with a comparison between them that shows H2Hadoop performance is more efficient than Amazon EMR in some cases under different considerations.","PeriodicalId":223140,"journal":{"name":"2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133079085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}