2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)最新文献

Privacy Preserving Third Party Auditing in Multi Cloud Storage Environment 多云存储环境下保护隐私的第三方审计

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015495

M. Shashidhara, C. P. Jaini

{"title":"Privacy Preserving Third Party Auditing in Multi Cloud Storage Environment","authors":"M. Shashidhara, C. P. Jaini","doi":"10.1109/CCEM.2014.7015495","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015495","url":null,"abstract":"The on-demand, pay-per-use, and scalable services provided in cloud model guarantee to reduce capital as well as running expenditures for both hardware and software. In cloud environment, users can remotely store their data and access them from a shared pool of configurable computing resources, without local data storage burden. We discuss various methods related to the security and privacy capabilities in cloud paradigm especially data storage in multi cloud environment. We provide three models in form of multicloud architectures which allow categorizing the schemes and analyze them according to their security benefits. The different methods include, resource replication, split application system into tiers based on PIR methods, split both application logic and data into segments. In addition, since the integrity protection of data is a fearsome task in Cloud computing for users with limited computing resources, vulnerabilities in user data privacy are also possible in third party auditing. So we propose a safe cloud storage methodology which supports privacy-preserving third party auditing. And we study the outcomes to perform audits concurrently for multiple users in an efficient manner. Experimental results show that the third party auditing computation time is better than existing approach.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133535593","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}

引用次数: 5

Contracts in Cloud Computing 云计算合同

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015489

Irene Kafeza, E. Kafeza, E. Panas

{"title":"Contracts in Cloud Computing","authors":"Irene Kafeza, E. Kafeza, E. Panas","doi":"10.1109/CCEM.2014.7015489","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015489","url":null,"abstract":"In an increasingly integrated global economy the importance as well as the growing availability of Cloud Providers has provided companies, individuals and the Governmental agencies with a variety of benefits such as significant cost reduction. As the role and number of Cloud Providers has increased a novel set of issues has emerged. These novel issues refer to a variety of legal complexities from the initial choice of the proper Cloud Provider as well as the appropriate contract for the deployment of its services. This paper is concerned with the novel issues arising of the deployment of Cloud Computing contracts. It presents the related issues and discusses ways and suggestions by which the legal framework could be demystified so that the contracts conducted in the Cloud Computing environment can be conducted efficiently and in a legal manner, for the benefit of the private as well as the public sector. It is concerned that the current legal framework cannot provide solution for effective deployment of Cloud Computing contracts and drawing on this evidence, it discusses the steps that Cloud Computing participants need to take to correctly identify their contractual rights and obligations.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125612341","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}

引用次数: 1

A Hybrid Protocol to Secure the Cloud from Insider Threats 保护云免受内部威胁的混合协议

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015476

M. Sriram, V. Patel, D. Harishma, N. Lakshmanan

引用次数: 13

A Novel Bio-Inspired Load Balancing of Virtualmachines in Cloud Environment 云环境下一种基于生物的虚拟机负载平衡方法

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015477

T. Ashwin, Shridhar G. Domanal, R. R. Guddeti

引用次数: 15

SLA-Aware Provisioning and Scheduling of Cloud Resources for Big Data Analytics 面向大数据分析的基于sla的云资源配置与调度

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015497

Mohammed Alrokayan, Amir Vahid Dastjerdi, R. Buyya

{"title":"SLA-Aware Provisioning and Scheduling of Cloud Resources for Big Data Analytics","authors":"Mohammed Alrokayan, Amir Vahid Dastjerdi, R. Buyya","doi":"10.1109/CCEM.2014.7015497","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015497","url":null,"abstract":"The stunning growth in data has immensely impacted organizations. Their infrastructure and traditional data management system could not keep up to scale of Big Data. They have to either invest heavily on their infrastructure or move their Big Data analytics to Cloud where they can benefit from both on-demand scalability and contemporary data management techniques. However, to make Cloud hosted Big Data analytics available to wider range of enterprises, we have to carefully capture their preferences in terms of budget and service level objectives. Therefore, this study aims at proposing a SLA and cost-aware resource provisioning and task scheduling approach tailored for Big Data applications in the Cloud. Current approaches assume that data is pre-stored in cluster nodes prior to deployment of Big Data applications. In addition, their focus is purely on task scheduling, and not virtual machine provisioning. We argue that in the Cloud computing context this is not applicable, because the nodes are provisioned dynamically (data cannot be pre-stored) and leaving provisioning to user may lead to under or over provisioning that can both lead to SLA or budget constraint violations. Therefore,in this study we first model the user request, which consist of Big Data analytics jobs with budget and deadline. Then, we model infrastructures as a list of data centers, virtual machines (offered in a pay-as-you-go model), data sources, and network throughputs. After that, to address the aforementioned issues, we propose and compare cost-aware and SLA-based algorithms which provision cloud resources and schedule analytics tasks.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129171241","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}

引用次数: 42

Cloud Based Self Driving Cars 基于云的自动驾驶汽车

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015485

Naveen Shivaramu Yeshodara, Namratha S. Nagojappa, Nikhitha Kishore

引用次数: 20

Outsourcing Resource-Intensive Tasks from Mobile Apps to Clouds: Android and Aneka Integration 将资源密集型任务从移动应用程序外包到云:Android和Aneka集成

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015494

Tiago Justino, R. Buyya

{"title":"Outsourcing Resource-Intensive Tasks from Mobile Apps to Clouds: Android and Aneka Integration","authors":"Tiago Justino, R. Buyya","doi":"10.1109/CCEM.2014.7015494","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015494","url":null,"abstract":"Mobile Cloud Computing enables augmenting mobile device capabilities and increasing battery lifetime through the extension of cloud services and resources, resulting in an enhanced user experience. However, the development of a mobile cloud application is challenging because it involves dealing with different cloud providers and mobile platforms. To tackle the above issues, a mobile cloud architecture is proposed to asynchronously delegate resource-intensive mobile tasks in order to alleviate the mobile device load and, consequently, extend the battery life. We demonstrate this capability by developing an interface that supports the delegation of heavy tasks from mobile apps running under the Android mobile platform to a cloud computing environment managed by the Aneka Cloud Application Platform. The Aneka Mobile Client Library encapsulates the processes of communicating to cloud is provided, thus, the effort and complexity of developing a mobile cloud application is decreased. Two different resource-intensive mobile application are presented in order to show the library effectiveness. A performance evaluation is conducted showing the feasibility of architecture through the reduction of application execution time and extension of mobile device battery life.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114623545","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}

引用次数: 20

Achieving Energy Efficiency by Optimal Resource Utilisation in Cloud Environment 云环境下通过优化资源利用实现能源效率

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015479

Devwrat More, Sanket Vaibhav Mehta, Pooja Pathak, Lokesh Walase, J. Abraham

引用次数: 6

Analyzing User Behavior Using Keystroke Dynamics to Protect Cloud from Malicious Insiders 使用击键动力学分析用户行为以保护云免受恶意内部人员的攻击

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015481

Mahesh Babu Bondada, S. M. Bhanu

引用次数: 17

Cloudy with a Spot of Opportunity: Analysis of Spot-Priced VMs for Practical Job Scheduling 多云的机会点:现货定价虚拟机的实际作业调度分析

2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) Pub Date : 2014-10-01 DOI: 10.1109/CCEM.2014.7015488

Vedsar Kushwaha, Yogesh L. Simmhan

引用次数: 11