IPFS has surged into popularity in recent years. It organizes user data as multiple objects where users can obtain the according to their Content IDentifiers (CIDs). As a storage system, it is of great importance understand its I/O performance. But existing work still lacks such comprehensive study. In this work, we deploy an system with geographically-distributed nodes on Amazon EC2. We then conduct extensive experiments evaluate performance operations from client's perspective. find that...

Cloud-of-clouds storage can enhance the data security and reliability of online applications by encrypting, encoding, distributing user across multiple clouds. Fast transferring large volumes through networks with limited bandwidths remains a practical challenge, especially in event disaster backup. To address this, we model process using an information flow graph estimate inter-cloud traffic. We propose new Network Coding-based Cloud-of-Clouds Backup (NC3B) framework, which enables...

Automatic detection of regions salient texture and objects is useful for analysis remotely sensed imagery, such as land cover classification, object detection, change detection. Intuitively, the local edges on an image indicate spectral discontinuity existence structure or objects. This letter explores a simple method measuring saliency based edge density spatial evenness distribution in window each pixel. generates map by computing index By segmenting map, locations can be extracted. The...

Multi-cloud storage is recently a viable approach to solve the vendor lock-in, reliability, and security issues in cloud systems. As key concern, data placement influences cost performance of services. Yet, practice it remains challenging address huge solution space. Previous studies typically focus on constructing efficient schemes based predicted pattern workloads or assuming fully a-priori known network conditions. They cannot be easily applied multi-cloud scenarios, which involve dynamic...

This paper considers the problem of how to reduce I/O overhead data update operations in erasure coding based storage systems. To this end, we first analyze with current approaches. We find key such is designing a scheduling algorithm construct sequence operations. Such an needs execute time limit, since requests work under stringent latency constraint. quickly schedule order operations, propose efficient algorithm, namely UCODR. Our theoretical analysis verifies that UCODR can effectively...

Abstract Human activity recognition (HAR), as an important research issue, aims to identify human activities in smart homes. In this paper, we apply Gaussian Naive Bayes (GNB) algorithm HAR and evaluate the model based on environment sensor data. Experimental results show that effective selection processing of features are helpful improve accuracy model. Compared with NB whose rate is 82.7%, GNB has a better 89.5% even higher almost every category activities. Selecting feature variables good...

With the explosion of knowledge and information enterprise growing demand for intelligent management application improve business performance expression processing has become a hot topic. Aim at problems electric marketing customer service map (customer map) in building theory method, three levels was discussed, realizing reasoning based on Neo4j, achieve good results practical application.

Cloud-of-clouds storage is a recent approach to improve the security and reliability of data for online applications. It encrypts encodes user data, disperses results multiple clouds. Thus, can tolerate cloud failures, while cannot be inferred even when some clouds are compromised. However, efficiency well-known challenge such paradigm, since its storing process (also known as dispersal process) time-consuming involving encryptions, encoding, transmissions, posing barrier wide application....

Cloud-of-clouds storage is a viable means to ensure security and reliability of distributed data storage, where are encrypted, encoded, stored in multiple clouds. However, it great challenge adopt such paradigm mobile devices (e.g., smartphone). Mobile generally incapable perform the heavy-weight operations (i.e., encryption, encoding, transmission) required paradigm, given limited resources devices. This paper focuses on addressing this challenge, i.e., improving performance cloud-of-clouds...

In data storage systems, are typically stored in redundant nodes to ensure reliability. When fail, with the help of nodes, lost can be restored new nodes. Such a regeneration process may aborted, since fail during process. Therefore, reducing time is well-known challenge improve reliability systems. Delayed repair typical scheme real-world It reduces overhead by recovering multiple node failures simultaneously. How reduce delayed yet well addressed. Since available bandwidth flowing systems...

Aiming to problem of how optimize the cloud computing location, an improved PSO algorithm is designed handle this problem, using servers location and communication cost can be optimized under situation.Though theoretical derivation, correctness proofed.The derivation also verified by experiment.

Cloud-of-clouds storage provides a practical solution to enhance security and reliability of distributed data storage, by encrypting, encoding storing across multiple clouds. However, it is great challenge adopt such paradigm in disaster backup applications, which need transmit large volume with limited network bandwidth. To this end, we improve the performance applications cloud-of-clouds systems allowing clouds perform transmission operations during process, so that can adaptively adjust...

As the commodities of e-commerce are more and rich, consumers willing to choose online shopping, because these rich varieties commodity information, customers will often appear aesthetic fatigue. Therefore, we need a recommendation algorithm according recent behavior including browsing consuming predicate intelligently recommend goods which need, thus improve satisfaction increase profit e-commerce. This paper first discusses algorithm, then improves Apriori. Finally, using R language...

A new Bayesian network (BN) learning method using a hybrid algorithm and chaos theory is proposed. The principles of mutation crossover in genetic the cloud-based adaptive inertia weight were incorporated into proposed simple particle swarm optimization (sPSO) to achieve better diversity, improve convergence speed. By means ergodicity randomicity algorithm, initial structure population generated by chaotic mapping with uniform search under constraints. When converges local minimal, searching...

Aim to problem how the packet size effect multimedia data transmission and design reach best efficient of transmission.The research is mainly use inventory queuing theory find way send size.Though model established calculated, The value have been given.The experiment result also proof that exist point .

Erasure codes are widely used in distributed key-value (KV) storage systems to enhance the data reliability. However, load balance of nodes is a well-known challenge when deploying such erasure-coded cloud computing and information service scenarios. To solve above problems, we propose large-scale scheme for KV systems. By adding control systems, our efficiently obtains current states nodes. improve utilization network bandwidth, design multiple-coded shard transmission proposal. Based on...