Redundancy schemes for deduplicated cloud storage systems
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This document describes a study comparing redundancy schemes for deduplicated cloud storage systems. It discusses implementing prototypes for a reliability-aware algorithm and Reed-Solomon algorithm for cloud storage. The Reliable Aware Deduplicated Storage System (RADS) is designed with modules for the cloud storage system, reliability algorithm, Reed-Solomon algorithm, and performance measures. Results are presented along with references. The goal is to experimentally evaluate the redundancy schemes and identify the optimized approach for cloud storage reliability.
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Minimizing DFA
This document discusses minimizing deterministic finite automata (DFA) and provides references on the topic. It begins with an introduction to minimizing DFA and then provides several examples of DFAs with different languages over various alphabets. It concludes by listing references for additional information on minimizing DFA and automata theory.
Reliability
The document discusses various methods for assessing the reliability of psychological tests, including test-retest reliability, alternate forms reliability, split-half reliability, internal consistency, and rational equivalence. It provides examples of studies measuring the reliability of questionnaires using different methods such as test-retest reliability over 8 months, split-half canonical correlation analysis, and internal consistency measured by Cronbach's alpha. Reliability coefficients from 0.5 to 0.93 are reported for different scales and subscales from these studies. Factors influencing test scores like extrinsic factors, intrinsic factors, and scorer reliability are also briefly covered.
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Software Quality Assurance
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
Quality Assurance in Software Ind.
This document provides an overview of quality assurance frameworks for software development. It discusses key concepts like quality, software quality assurance, and its components including software testing, quality control, and software configuration management. It also describes a software quality assurance plan and quality standards like ISO9000, CMM, PCMM, and CMMI. The document is presented by Ketan Mehta from Heritage Institute of Technology in Kolkata and covers an agenda including definitions of quality and SQA, their components, SQA plans, and quality standards.
Software quality assurance
The document discusses software quality assurance (SQA) and defines key terms related to quality. It describes SQA as encompassing quality management, software engineering processes, formal reviews, testing strategies, documentation control, and compliance with standards. Specific SQA activities mentioned include developing an SQA plan, participating in process development, auditing work products, and ensuring deviations are addressed. The document also discusses software reviews, inspections, reliability, and the reliability specification process.
Software quality assurance lecture 1
This document discusses software quality assurance. It defines software as computer programs, procedures, and documentation related to operating a computer system. Software quality is defined as meeting requirements and user needs/expectations. Quality factors include correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. Software quality assurance is a planned set of actions to provide confidence that software development/maintenance conforms to requirements and schedules/budgets. The objectives of SQA are to assure acceptable confidence in conforming to functional/managerial requirements during development and maintenance. Three principles of QA are to know what is being done, know what should be done, and know how to
Impact of cloud computing in education, e governance
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Impact of cloud computing in education, e governance
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Ieeepro techno solutions 2013 ieee dotnet project -building confidential an...
The document proposes a method called RAndom Space Perturbation (RASP) to provide secure and efficient range and k-nearest neighbor (kNN) query services for protected data hosted in the cloud. RASP combines order preserving encryption, dimensionality expansion, random noise injection, and random projection to transform data in a way that preserves the topology of multidimensional ranges, allowing for efficient query processing while providing strong confidentiality guarantees. The authors analyze attacks on the RASP-protected data and queries under a defined threat model and security assumptions. Experimental results demonstrate advantages of the RASP approach in efficiency and security for cloud-based query services.
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07784576
This document proposes a novel architecture that combines local storage with cloud storage in a RAID-like configuration to improve storage capacity, access speed, reliability, and availability for Internet of Things (IoT) devices. It discusses how different levels of RAID, including RAID 0, 1, 4 and 5, could utilize both local drives and cloud storage. Specifically, it proposes a new "RAID 4.5" level that uses multiple cloud parity drives along with local storage. The document analyzes the reliability, performance, feasibility and security of various hybrid local+cloud RAID configurations.
TASK SCHEDULING USING AMALGAMATION OF MET HEURISTICS SWARM OPTIMIZATION ALGOR...
TASK SCHEDULING USING AMALGAMATION OF MET HEURISTICS SWARM OPTIMIZATION ALGOR...Journal For Research
Cloud Computing is the latest networking technology and also popular archetype for hosting the application and delivering of services over the network. The foremost technology of the cloud computing is virtualization which enables of building the applications, dynamically sharing of resources and providing diverse services to the cloud users. With virtualization, a service provider can guarantee Quality of Service to the user at the same time as achieving higher server consumption and energy competence. One of the most important challenges in the cloud computing environment is the VM placemnt and task scheduling problem. This paper focus on Metaheuristic Swarm Optimisation Algorithms(MSOA) deals with the problem of VM placement and Task scheduling in cloud environment. The MSOA is a simple parallel algorithm that can be applied in different ways to resolve the task scheduling problems. The proposed algorithm is considered an amalgamation of the SO algorithm and the Cuckoo search (CS) algorithm; called MSOACS. The proposed algorithm is evaluated using Cloudsim Simulator. The results proves the reduction of the makespan and increase the utilization ratio of the proposed MSOACS algorithm compared with SOA algorithms and Randomised Allocation Allocation (RA).
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Scalable analytics for iaas cloud availability
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Hybrid Task Scheduling Approach using Gravitational and ACO Search Algorithm
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The full paper is available from:
https://www.researchgate.net/publication/342407813_FScaler_Automatic_Resource_Scaling_of_Containers_in_Fog_Clusters_Using_Reinforcement_Learning
REVIEW 2 PDC 20BCE1577.pptx
The document discusses resource allocation and scheduling (RAS) in cloud computing. It identifies five major topics in cloud RAS: locality-aware task scheduling, reliability-aware scheduling, energy-aware RAS, Software as a Service (SaaS) layer RAS, and workflow scheduling. These topics are classified into three parts: performance-based RAS, cost-based RAS, and performance- and cost-based RAS. Existing RAS policies and algorithms are discussed for each topic in terms of parameters like execution efficiency, cost-effectiveness, reliability, and resource utilization.
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This document summarizes a research paper that proposes a benefit-based caching algorithm for wireless ad hoc networks. The paper presents two algorithms: (1) A centralized approximation algorithm that provably delivers a solution with benefit of at least 1/4 of the optimal benefit for minimizing total data access cost. (2) A localized distributed algorithm based on the approximation algorithm that can handle node mobility and dynamic traffic conditions. Simulations show the distributed algorithm performs close to the approximation algorithm and outperforms an existing caching technique, especially in more challenging scenarios. The paper provides the first distributed implementation of an approximation algorithm for general cache placement in ad hoc networks.
DYNAMIC TASK SCHEDULING BASED ON BURST TIME REQUIREMENT FOR CLOUD ENVIRONMENT
Cloud computing has an indispensable role in the modern digital scenario. The fundamental challenge of cloud systems is to accommodate user requirements which keep on varying. This dynamic cloud environment demands the necessity of complex algorithms to resolve the trouble of task allotment. The overall performance of cloud systems is rooted in the efficiency of task scheduling algorithms. The dynamic property of cloud systems makes it challenging to find an optimal solution satisfying all the evaluation metrics. The new approach is formulated on the Round Robin and the Shortest Job First algorithms. The Round Robin method reduces starvation, and the Shortest Job First decreases the average waiting time. In this work, the advantages of both algorithms are incorporated to improve the makespan of user tasks.
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Redundancy schemes for deduplicated cloud storage systems
- 1. Comparison of Redundancy Schemes for Deduplicated cloud storage system Ravishankar .R.S Sarang .A. Vikneshwar .E. Guide : Prabavathy .B. Asst. Professor Department of CSE
- 2. Objectives • Implementation of prototype for reliability aware algorithm for deduplicated cloud storage system. • Implementation of prototype for Reed- Solomon algorithm for deduplicated cloud storage system. • Experimental evaluation of redundancy schemes and choosing the optimised redundancy scheme for cloud storage system.
- 3. Reliable Aware Deduplicated Storage System (RADS) Design • In order to implement the objectives, we are implementing RADS which consists of :- • Modules :- 1. Cloud Storage system 2. Reliability Aware Algorithm 3. Reed Solomon Algorithm 4. Performance measures
- 4. Reliability Aware Architecture Diagram
- 5. Reed Solomon Architecture Diagram
- 6. Results
- 7. References [1] Zhou Zhengda and Zhou Jingli , A Novel Data Redundancy Scheme for De-duplication Storage System , Knowledge Acquisition and Modeling(KAM), Third International Symposium, October 20-21, 2010. [2] J.S.Plank, A Tutorial on Reed-Solomon Coding for Fault- Tolerance in RAID-like Systems, Software Practice and Experience, February 19, 1999. [3] Hsiao-Ying Lin and Wen-Guey Tzeng,A Secure Erasure Code- based Cloud Storage System with Secure Data Forwarding, IEEE Transactions On Parallel and Distributed Systems, October 06, 2011. [4] Youngjin Nam, Guanlin Lu and David H.C.Du, Relibility-Aware Deduplication Storage: Assuring Chunk Reliability and Chunk Loss Severity, IEEE, 2011
- 8. Thank You