Hybrid LRU Algorithm for Enterprise Data Hub using Serverless Architecture

In hybrid LRU algorithm was built to execute parameterized priority queue using Least Recently Used model. It helped to determine the object in an optimum mode to remove from cache. Experiment results demonstrated ~30% decrease of the execution time to extract data from cache store during object cache extraction process. In the era of modern utility computing theory, Serverless architecture is the cloud platform concept to hide the server usage from the development community and runs the code on-demand basis. This paper provides Hybrid LRU algorithm by leveraging Serverless Architecture benefits. Eventually, this new technique added few advantages like infrastructure instance scalability, no server management, reduced cost on efficient usage, etc. This paper depicts about the experimental advantage of Hybrid LRU execution time optimization using Serverless architecture.

Cloud Service Footprint (CSF)

Cloud Computing (CC) services have made substantive advances in the past few years. It is rapidly changing the landscape of technology, and energizing the long-held promise of utility computing. Successful jump into CC is a considerable task, since the surroundings are not yet mature and the accompanied risk and governance frameworks are still evolving. This effort aims to portray an identity for CC services by employing risk and governance directions among other elements and techniques. Cloud Service Footprint (CSF) is considering practical aspects surrounding the CC paradigm and prescribing the associated directions. CSF will help Cloud Service Providers (CSPs) to characterize their service and benchmark themselves. The Client Enterprises (CEs) can utilize CSF dimensions to find a better way to navigate through CC service arena and to understand its parameters. Along with cost and functional capabilities, the Cloud Service Footprint (CSF) can provide enough information for business executives to evaluate CC services and make informed decisions.

Security Aspects in Utility Computing

Utility computing is a need of today's cyber world and so the importance of its security is an important issue. Concerns for utility computer networks' security and dependability are growing quickly because of increasing utility devices with connections to external networks. This aggravates vulnerability of utility networks to cyber-attacks through external connections. Various types of issues and its solutions regarding security in utility computing have been explained in this chapter.

Resource Scheduling in Fog: Taxonomy and Related Aspects

The era of technological advancements has arisen the need to cultivate the research process to its fullest extent. Emerging technologies in the domain of service-oriented paradigms have engrossed the users in the network manifestation and its computing paradigms. The world of utility computing has successfully rendered a helping hand to its customers by offering computing paradigms like cloud, fog and other similar utilities. Therefore, reaping the benefits of such models could rapidfire services in a very short span of time. Besides, faster service time has been made viable by enablement of fog computing paradigm. Therefore, exploiting its resource utilization to maximum point would lead maximized profit to the providers of the services. Mechanisms needs to be devised that could efficaciously manage resources. This the orientation of this paper has been directed towards exploring all the resource management techniques in fog model and current challenges that are prevailing in existing mechanisms.

Optimizing and Load Balancing for Flash Crowd to Improve Quality of Service in Content Delivery Network

The online access has been increasing rapidly with the digitization of information, cheaper Internet service and affordable devices to access the Internet. This entails for not only handling increasing number of web requests but also meeting Quality of Service (QoS) requirements of end-users. Content Delivery Network (CDN) system is used to make better the performance of origin server by storing the popular contents on surrogate servers. The contents are disseminated to the web users through surrogate servers. The performance of CDN system relies on the selection of appropriate surrogate server to satisfy end-users’ requests. The proposed method named Load Balancing using Neighbors and Utility Computing (LBNUC) takes into account requests arrival rate, load on surrogate servers, end-users’ changing demand and capacity of surrogate servers. The aim is efficient utilization of CDN resources to minimize the time required to serve end-users requests and the cost of servicing requests. This method is also effective in handling of flash crowd situation by monitoring request rate. It handles this situation with support from neighbor surrogate servers and arranging additional resources, if required, through utility computing to meet QoS requirement of end-users.

Enhanced Weighted Round Robin Load Balancing Algorithm in Cloud Computing

The cloud/utility computing model requires a dynamic task assignment to cloud sites with the goal that the performance and demand handling is done as effectively as would be prudent. Efficient load balancing and proper allocation of resources are vital systems to improve the execution of different services and make legitimate usage of existing assets in the cloud computing atmosphere. Consequently, the cloud-based infrastructure has numerous kinds of load concerns such as CPU load, server load, memory drain, network load, etc. Thus, an appropriate load balancing system helps in realizing failures, reducing backlog problems, adaptability, proper resource distribution, expanding dependability and client fulfillment and so forth in distributed environment. This thesis reviewed various popular load balancing algorithms. Modified round robin algorithms are popularly employed by various giant companies for scheduling issues and load balancing. An enhanced weighted round robin algorithm is discussed in this paper concentrating on efficient load balancing and effective task scheduling and resource management.

The Grid bus Toolkit for Service Oriented Grid and Utility Computing

Matrices go for misusing collaborations that outcome from participation of self-governing circulated substances. The collaborations that outcome from framework participation incorporate the sharing, trade, determination, and collection of geologically dispersed assets, for example, PCs, information bases, programming, and logical instruments for taking care of huge scale issues in science, building, and trade. For this collaboration to be manageable, members need financial impetus. In this manner, "motivating force" systems ought to be considered as one of key structure parameters of Grid designs. In this article, we present a diagram and status of an open source Grid toolbox, called Grid bus, whose engineering is generally determined by the prerequisites of Grid economy. Grid bus advances give administrations to both computational and information matrices that power the developing e-Science and e-Business applications.