Cloud Computing
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In this presentation, Saksham talks about cloud computing and associated challenges WRT maintaining network speed etc. Saksham's interest area lies in analytics of usage of cloud so that the memory management can be more efficient, he is also interested in node to node communication.
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This document discusses social mobile and cloud computing trends. It focuses on managing resources for mobile access to shared cloud data while maintaining privacy. Effective buffer sizing is important to prevent packet loss and deliver consistent performance across different traffic speeds. Small businesses can scan source code on public or hybrid clouds to detect cyber attacks. Managing communication, I/O, and performance across distributed systems is challenging, as is reducing redundant cloud data and optimizing resource consumption and predictions.
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Madhavi Latha is a 3rd year B. Tech student at GMR Institute of Technology, Rajam. Her paper explores the basics of cloud computing, including its key advantages of ease-of-use and cost-effectiveness. Cloud computing delivers hosted services like compute power and storage over the internet through virtualized and abstracted hardware and software. It provides on-demand, scalable resources through programmatic interfaces that are billed variably based on usage. Clouds can be private, for a limited number of users on a private network, or public, selling services to anyone on the internet.
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This document discusses social mobile and cloud computing trends. It focuses on managing resources for mobile access to shared cloud data while maintaining privacy. Effective buffer sizing is important to prevent packet loss and deliver consistent performance across different traffic speeds. Small businesses can scan source code on public or hybrid clouds to detect cyber attacks. Managing communication, I/O, and performance across distributed systems is challenging, as is reducing redundant cloud data and optimizing resource consumption and predictions.
Abstract
Madhavi Latha is a 3rd year B. Tech student at GMR Institute of Technology, Rajam. Her paper explores the basics of cloud computing, including its key advantages of ease-of-use and cost-effectiveness. Cloud computing delivers hosted services like compute power and storage over the internet through virtualized and abstracted hardware and software. It provides on-demand, scalable resources through programmatic interfaces that are billed variably based on usage. Clouds can be private, for a limited number of users on a private network, or public, selling services to anyone on the internet.
Ace student presentation-final
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The document discusses optimization of a 3G UMTS HSPA radio network in a BSNL service area. It explains that optimization is a continuous process of maintaining and improving network performance by analyzing statistics and drive test data. Successful optimization requires understanding reasons for call failures, capturing call parameters prior to drops, and analyzing call flows. The document outlines parameters used in optimization like BSIC, LAI, latency, and describes the drive test procedure and post-processing tools used to analyze network performance data.
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Science international journal
ISSN 2395-650X
IJLBPS provides an inclusive environment for researchers to share original research, reviews, case studies, and technical notes across a broad spectrum of life sciences, biotechnology, and pharmaceutical sciences.
Dynamic Resource Provisioning with Authentication in Distributed Database
Data center have the largest consumption amounts of energy in sharing the power. The public cloud workloads of different
priorities and performance requirements of various applications [4]. Cloud data center have capable of sensing an opportunity to present
different programs. In my proposed construction and the name of the security level of imperturbable privacy leakage rarely distributed
cloud system to deal with the persistent characteristics there is a substantial increases and information that can be used to augment the
profit, retrenchment overhead or both. Data Mining Analysis of data from different perspectives and summarizing it into useful
information is a process. Three empirical algorithms have been proposed assignments estimate the ratios are dissected theoretically and
compared using real Internet latency data recital of testing methods
thilaganga journal 2
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This document summarizes a seminar on material management on construction sites. It discusses the introduction to materials and material management. It outlines the objectives of material management such as making economic decisions and developing good supplier relations. It also discusses the functions of material management including procurement, inventory control, and cost estimates. The role of the material manager is described as understanding inventory processes and achieving inventory control. Finally, some prevalent material management practices used in construction are presented including estimating, procuring, delivering, and consuming materials.
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This document provides information on material management. It defines material management as planning, organizing, and controlling the flow of materials from initial purchase through operations to distribution. The objectives of material management include obtaining the right quality and quantity of supplies at the right time and place for the right cost. Material management aims to gain economy in purchasing and satisfy demand during replenishment periods while maintaining adequate reserve stocks.
Materials management –objective, scope & function (2)
The document discusses materials management, including its objectives to ensure continuity of supply, reduce costs, and maintain quality and supplier relationships. It then discusses a case study of Balaji Rechargeable Fan Co. which experienced a 40% sales decline in the first quarter of 2009 due to stock outs failing to meet customer commitments. Materials management aims to plan, organize, and control materials flow, and its scope includes planning, purchasing, inventory control, and waste management. Its functions include planning, purchasing, receiving, warehousing, transportation, inventory control, and disposal.
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This document discusses construction material management. It defines material management and outlines its aims and objectives, which include ensuring the right quality, quantity, timing, and cost of materials. The document describes various material types, the material management process, problems that can occur, and techniques for inventory control and quantitative analysis. It also discusses technologies like barcodes and RFID that can be used to improve material management. Overall, the document provides a comprehensive overview of construction material management.
Material management
The document discusses material management in healthcare facilities. It defines material management and outlines its key aims and principles, which include obtaining supplies of the right quality, quantity, time and place at the lowest cost. It describes the various functions and elements of material management like procurement, storage, inventory control and equipment maintenance. The primary objectives are economy, continuity of supply and developing good supplier relationships.
Material management
Material management involves planning, procurement, storage, and distribution of materials in a healthcare setting. It aims to ensure the right quality, quantity, and cost of supplies are available at the right time and place. Key aspects of material management include material planning through identification and forecasting of item needs, centralized or decentralized purchasing, inspection and quality control of incoming supplies, proper storage, inventory control, maintenance of supply records in an information system. The overall goal is efficient management of over 25-40% of healthcare expenditures spent on materials and supplies.
Material Management & Inventory Management
This document discusses material management and inventory control. It defines material management as planning, procuring, storing, and providing materials to support production activities. Key functions of material management include material requirements planning, purchasing, inventory planning and control, and quality control. Maintaining the proper level and placement of inventory is important to protect production from disruptions and ensure customer demand is met. The objectives of inventory control are to balance adequate supply with minimizing costs through techniques like ABC analysis.
Materials Management
Materials management involves planning and coordinating all activities related to materials, from procurement to conversion into finished goods. The key objectives are to obtain the right materials, in the right quantity and quality, from the right sources, at the right time and price. This helps reduce costs and ensures smooth production operations. Effective inventory management is also important to minimize investment in inventory while avoiding stockouts and excess capacity.
Materials management ppt
This document discusses materials management and its key activities and functions. It defines materials management as the process of planning, organizing, and controlling the flow of materials through an organization. The main activities involved include materials requirements planning, purchasing, inventory control, expediting, transportation, and materials handling. Effective materials management can improve productivity, reduce costs, ensure quality, and smooth production schedules.
Construction site management material storage
Construction materials require careful storage on construction sites to prevent damage and theft. Materials can be categorized as factory goods, raw materials, or workshop finished items. Factory goods like cement, ceramics, and ironmongery require protection from moisture, breaking, or pilfering. Raw materials such as stone, ballast and sand are bulky and need dedicated storage space. Workshop finished items and semi-finished items need protection as replacements are expensive. Proper storage is important for material flow, and records must be kept of all materials.
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This document proposes an integrated cloud-based framework for collecting and processing sensory data from mobile phones to support diverse people-centric applications. The framework includes modules for user adaptation, storage, application interfaces, and mobile cloud engines. A prototype is implemented to demonstrate how the framework can reduce mobile device energy consumption while meeting application requirements such as for emergency response systems.
verifiable and multi-keyword searchable attribute-based encryption scheme for...
verifiable and multi-keyword searchable attribute-based encryption scheme for...IJET - International Journal of Engineering and Techniques
ABSTRACT The success of the cloud computing paradigm is due to its on-demand, self-service, and pay-by-use nature. Public key encryption with keyword search applies only to the certain circumstances that keyword cipher text can only be retrieved by a specific user and only supports single-keyword matching. In the existing searchable encryption schemes, either the communication mode is one-to-one, or only single-keyword search is supported. This paper proposes a searchable encryption that is based on attributes and supports multi-keyword search. Searchable encryption is a primitive, which not only protects data privacy of data owners but also enables data users to search over the encrypted data. Most existing searchable encryption schemes are in the single-user setting. There are only few schemes in the multiple data users setting, i.e., encrypted data sharing. Among these schemes, most of the early techniques depend on a trusted third party with interactive search protocols or need cumbersome key management. To remedy the defects, the most recent approaches borrow ideas from attribute-based encryption to enable attribute-based keyword search (ABKSEvaluation Of The Data Security Methods In Cloud Computing Environments
This document discusses methods for ensuring data security in cloud computing environments. It begins by introducing cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The main goals of data security - confidentiality, integrity, and availability - are then described. Several methods for data security are proposed, including data fragmentation where sensitive data is divided and distributed across different domains. Encryption techniques are also discussed as ways to protect confidential data during storage and transmission. Overall, the document aims to evaluate approaches for addressing key issues around securing user data in cloud systems.
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This document proposes a scalable and cost-effective framework called SaC-FRAPP for preserving privacy over big data on the cloud. The key idea is to leverage cloud-based MapReduce to anonymize large datasets before releasing them to other parties. Anonymized datasets are then managed using HDFS to avoid re-computation costs. A prototype system is implemented to demonstrate that the framework can anonymize and manage anonymized big data sets in a highly scalable, efficient and cost-effective manner.
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This document proposes a three-layer cloud storage scheme based on fog computing to improve privacy protection. The scheme splits user data into three parts that are stored in the cloud server, fog server, and user's local machine. It uses a Hash-Solomon encoding technique to distribute the data in a way that original data cannot be reconstructed from partial information. The scheme leverages fog computing to both utilize cloud storage and securely protect data privacy against insider attacks. Theoretical analysis and experiments demonstrate that the proposed scheme effectively addresses privacy issues in existing cloud storage models.
Science international journal
ISSN 2395-650X
IJLBPS provides an inclusive environment for researchers to share original research, reviews, case studies, and technical notes across a broad spectrum of life sciences, biotechnology, and pharmaceutical sciences.
Dynamic Resource Provisioning with Authentication in Distributed Database
Data center have the largest consumption amounts of energy in sharing the power. The public cloud workloads of different
priorities and performance requirements of various applications [4]. Cloud data center have capable of sensing an opportunity to present
different programs. In my proposed construction and the name of the security level of imperturbable privacy leakage rarely distributed
cloud system to deal with the persistent characteristics there is a substantial increases and information that can be used to augment the
profit, retrenchment overhead or both. Data Mining Analysis of data from different perspectives and summarizing it into useful
information is a process. Three empirical algorithms have been proposed assignments estimate the ratios are dissected theoretically and
compared using real Internet latency data recital of testing methods
thilaganga journal 2
This document summarizes a research paper that proposes using Hidden Markov Model (HMM) forward and backward chaining algorithms for prefetching data in a distributed file system for cloud computing. It begins by introducing HMMs and their applications, as well as distributed file systems. It then describes using HMM forward and backward algorithms to analyze client I/O patterns, predict future requests, and prefetch data to storage servers. The authors implemented this approach and found it improved prefetching performance over other methods, with the HMM+DFS approach finding the shortest path with a value of 0.000804. In conclusion, HMM forward and backward chaining is an efficient way to perform predictive prefetching in distributed cloud file
Charm a cost efficient multi cloud data hosting scheme with high availability
Charm a cost efficient multi cloud data hosting scheme with high availabilityPvrtechnologies Nellore
The document proposes a data hosting scheme called CHARM that selects multiple cloud storage providers and redundancy strategies to store data with minimized costs and high availability. CHARM intelligently distributes data using replication or erasure coding based on file size and access patterns. It also triggers transitions of storage modes and data redistribution in response to changing access patterns and cloud pricing. Evaluation shows CHARM saves around 20% of costs compared to other schemes and adapts well to data and price changes.Cloud Data Security using Elliptic Curve Cryptography
This document discusses using elliptic curve cryptography to improve data security in cloud computing. It begins with an abstract that introduces cloud computing and data security as major issues. Then, it provides background on cryptography and classifications of cryptographic algorithms like symmetric, asymmetric, and hash functions. The document also discusses security issues in cloud computing like data isolation, secure data transfer, secure interfaces and access control. It proposes using elliptic curve cryptography to address these issues and provide confidentiality, integrity and authentication for data in the cloud. Overall, the document examines how cryptography can enhance security for data stored in cloud computing environments.
Review of access control models for cloud computing
The relationship between users and resources is dynamic in the cloud, and service providers
and users are typically not in the same security domain. Identity-based security (e.g.,
discretionary or mandatory access control models) cannot be used in an open cloud computing
environment, where each resource node may not be familiar, or even do not know each other.
Users are normally identified by their attributes or characteristics and not by predefined
identities. There is often a need for a dynamic access control mechanism to achieve crossdomain
authentication. In this paper, we will focus on the following three broad categories of
access control models for cloud computing: (1) Role-based models; (2) Attribute-based
encryption models and (3) Multi-tenancy models. We will review the existing literature on each
of the above access control models and their variants (technical approaches, characteristics,
applicability, pros and cons), and identify future research directions for developing access
control models for cloud computing environments.
REVIEW OF ACCESS CONTROL MODELS FOR CLOUD COMPUTING
The relationship between users and resources is dynamic in the cloud, and service providers
and users are typically not in the same security domain. Identity-based security (e.g.,
discretionary or mandatory access control models) cannot be used in an open cloud computing
environment, where each resource node may not be familiar, or even do not know each other.
Users are normally identified by their attributes or characteristics and not by predefined
identities. There is often a need for a dynamic access control mechanism to achieve crossdomain
authentication. In this paper, we will focus on the following three broad categories of
access control models for cloud computing: (1) Role-based models; (2) Attribute-based
encryption models and (3) Multi-tenancy models. We will review the existing literature on each
of the above access control models and their variants (technical approaches, characteristics,
applicability, pros and cons), and identify future research directions for developing access
control models for cloud computing environments.
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Fs2510501055
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
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This document discusses secure authorization for cloud computing using smartphones. It proposes a distributed framework that uses a Unit Transaction Permission Coin (UTPC) as a security token for cloud user authorization. The UTPC is generated using a hash function like SHA or MD5, making it difficult for intruders to break. The framework registers and authenticates trusted smartphone devices using their IMEI and IMSI identifiers in an untrusted computing environment. The resulting UTPC-based authorization method is lightweight and compatible with real-time cloud applications.
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CONTEXT-AWARE SECURITY MECHANISM FOR MOBILE CLOUD COMPUTING
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This document proposes a model for enhancing data storage security in cloud computing systems. It discusses threats and attacks to cloud data storage from external and internal sources. It then describes three common cloud deployment models: public clouds, private clouds, and hybrid clouds. The document proposes that cloud systems should include cloud service providers, users, and third party auditors. It also outlines two types of potential adversaries (weak and strong). Finally, it proposes design goals for secure cloud data storage systems, including ensuring storage correctness, fast error localization, dynamic data support, dependability, and lightweight verification.
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verifiable and multi-keyword searchable attribute-based encryption scheme for...
verifiable and multi-keyword searchable attribute-based encryption scheme for...
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Evaluation Of The Data Security Methods In Cloud Computing Environments
A scalabl e and cost effective framework for privacy preservation over big d...
A scalabl e and cost effective framework for privacy preservation over big d...
A Privacy Preserving Three-Layer Cloud Storage Scheme Based On Computational ...
A Privacy Preserving Three-Layer Cloud Storage Scheme Based On Computational ...
Dynamic Resource Provisioning with Authentication in Distributed Database
Dynamic Resource Provisioning with Authentication in Distributed Database
Charm a cost efficient multi cloud data hosting scheme with high availability
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REVIEW OF ACCESS CONTROL MODELS FOR CLOUD COMPUTING
Deep self-taught learning framework for intrusion detection in cloud computin...
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Cloud Computing
- 1. SMAC with emphasis on cloud. Name:SAKSHAM MEHTA Email:saksham.mehta1234@gmail .com Twitter Id:@sakshammehta121 University:NIT Kurukshetra Year/Semester: 3rd year Branch: Computer science
- 2. Introduction Social mobile involves studying new ways people interact ,communicate work in business . Cloud involves smarter way to access chunk of data as per demand to solve business problems. The management of mobile resources ,the multiple access in case of shared cloud and maintaining privacy in case of non-sharable data and private clouds. For frequent access services, reasonable amount of physical memory is reserved for caching and the available memory is decided through the number of instances of a process running through the cache
- 3. Trends The need lies of the use of properly sized buffers in case of considerable different traffic speeds in both directions to prevent packet loss and deliver consistent performance on the given scale. Buffers should be capable of scheduling traffic as per the system’s priority in case of various distributed , real- time systems. Small and medium sized business can scan source code for their own web application protection as per requirement(demand) in order to detect cyber attacks. Managing of part of data(personal) on a public or hybrid cloud
- 4. Interest Areas Managing communication among nodes ,disk I/o operations and network input/output performance in a distributed system is a challenge . Managing of redundant data on cloud network ,relational database usage should be as least as possible,use of hash techniques for key-value pair especially for files of different resource.Classification of data on the basis of frequency of its access. Analysis and advance predictions of the resources optimally consumed and the metrics of resources underutilized.
- 5. Thank you