Fault-tolerant Service Level Agreement lifecycle management in clouds using actor system

2016 ◽  
Vol 54 ◽  
pp. 247-259 ◽  
Author(s):  
Kuan Lu ◽  
Ramin Yahyapour ◽  
Philipp Wieder ◽  
Edwin Yaqub ◽  
Monir Abdullah ◽  
...  
Keyword(s):  
Fault Tolerant ◽  
Service Level Agreement ◽  
Service Level ◽  
Lifecycle Management

scholarly journals Increasing fault tolerance in service-level agreement constrained context-aware data networks

2020 ◽  
Vol 13 (2) ◽  
pp. 16-21
Author(s):  
Ints Meijers
Keyword(s):  
Fault Tolerance ◽  
Fault Tolerant ◽  
Service Level Agreement ◽  
Service Level ◽  
Data Networks ◽  
Multiple Constraints ◽  
Context Aware ◽  
Network Availability ◽  
Proposed Model ◽  
Best Fitting

Abstract Attribute study and analysis of fault tolerant data networks. This work is aimed at introducing SLA constrain into fault tolerance and thus increasing overall network availability. Proposed model will evaluate given constraints and select best path that fits requirements. Fault tolerance is increased by adding multiple constraints and thus reducing available paths to best fitting ones.

Managing Enterprise Service Level Agreement

2012 ◽  
pp. 183-207
Author(s):  
Yang Li
Keyword(s):  
Crucial Role ◽  
Service Level Agreement ◽  
Service Level ◽  
The Internet ◽  
Modeling And Optimization ◽  
Technology Improvement ◽  
Service Modelling ◽  
End To End ◽  
National Boundaries ◽  
Lifecycle Management

The continued trend of globalization and technology improvement like the internet and transportation have spawned an increasing number of complex service chains that span across local, regional and national boundaries. Service level agreement (SLA) plays a crucial role in gluing service chains together. In that regard, this paper provides a complete guidance of end-to-end lifecycle management of SLA, including SLA-aware service modelling and terms optimization, contract drafting and compliance tracking. Among these, the author introduces his work in the area of enterprise SLA optimization to address existing deficiencies in this area including a roadmap for industry-strength SLA optimization capability and an initial version of SLA modeling and optimization toolset—code-named SLA-OASIS. Some out-of-box toolsets for SLA contract drafting and compliance tracking are also introduced.

Managing Enterprise Service Level Agreement

2010 ◽  
Vol 1 (3) ◽  
pp. 18-43 ◽  
Author(s):  
Yang Li
Keyword(s):  
Crucial Role ◽  
Service Level Agreement ◽  
Service Level ◽  
The Internet ◽  
Modeling And Optimization ◽  
Technology Improvement ◽  
Service Modelling ◽  
End To End ◽  
National Boundaries ◽  
Lifecycle Management

The continued trend of globalization and technology improvement like the internet and transportation have spawned an increasing number of complex service chains that span across local, regional and national boundaries. Service level agreement (SLA) plays a crucial role in gluing service chains together. In that regard, this paper provides a complete guidance of end-to-end lifecycle management of SLA, including SLA-aware service modelling and terms optimization, contract drafting and compliance tracking. Among these, the author introduces his work in the area of enterprise SLA optimization to address existing deficiencies in this area including a roadmap for industry-strength SLA optimization capability and an initial version of SLA modeling and optimization toolset—code-named SLA-OASIS. Some out-of-box toolsets for SLA contract drafting and compliance tracking are also introduced.

Lifecycle Management of SLAs for Service Enterprises

2010 ◽  
pp. 251-271
Author(s):  
Yang Li
Keyword(s):  
State Of The Art ◽  
Service Level Agreement ◽  
Service Level ◽  
The State ◽  
Technological Developments ◽  
Telecom Service ◽  
Lifecycle Management

Service level agreement (SLA) is becoming an increasingly sought-after topic in recent years, as complex logistics and service chains span across geographical boundaries in the lights of globalization and new technological developments. This chapter introduces the reader to the state of the art lifecycle management of SLA for service enterprises, which covers stages of terms optimization, contract drafting and compliance tracking. In particular, the author identified deficiencies in the area of term optimization and outlines several R&D tracks that would lead to the development of industry-strength SLA optimization capabilities. An initial version of a SLA optimization toolset coded-named SLA-OASIS is reported, in the context of a telecom service, to illustrate such a concept. In addition, some out-of-box toolsets for drafting SLA contracts and tracking SLA compliance are also reviewed.

scholarly journals Review on failure forecast in cloud for a fault tolerant system

2018 ◽  
Vol 7 (3.3) ◽  
pp. 67
Author(s):  
J M. Nandhini ◽  
T Gnanasekaran
Keyword(s):  
Fault Tolerance ◽  
High Efficiency ◽  
Computer Network ◽  
Fault Tolerant ◽  
Service Level Agreement ◽  
Service Level ◽  
Tolerance Mechanism ◽  
On Demand ◽  
Efficient Resource ◽  
Service Oriented

Cloud Computing is an increasingly popular computer paradigm constituting a large infrastructure involving storage, memory, servers and applications accessible via computer network. The cloud system design aims to provide on-demand services with scalability on diverse resources to ensure efficient resource utilization in addition to effectiveness. As cloud is a service-oriented infrastructure, it is critically imperative that the system is highly reliable to meet the Service Level Agreement (SLA). To achieve reliability, cloud requires a very efficient fault tolerance mechanism. Serviceability and reliability is impacted by any failure in the system. Prior prediction of faults in the system helps in overcoming failures. The Fault Tolerance in cloud involves ascertaining the resource fitness to execute scheduled task. The process involves prior screening of resources against various tasks as part of scheduling process. The scheduling process relies significantly on the virtualization of resources to maintain high efficiency. 

Distance Aware VM allocation process to minimize energy consumption in cloud computing

2019 ◽  
Vol 12 ◽  
Author(s):  
Gurpreet Singh ◽  
Manish Mahajan ◽  
Rajni Mohana
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Research Work ◽  
Service Level Agreement ◽  
Service Level ◽  
Physical Machine ◽  
Allocation Process

BACKGROUND: Cloud computing is considered as an on-demand service resource with the applications towards data center on pay per user basis. For allocating the resources appropriately for the satisfaction of user needs, an effective and reliable resource allocation method is required. Because of the enhanced user demand, the allocation of resources has now considered as a complex and challenging task when a physical machine is overloaded, Virtual Machines share its load by utilizing the physical machine resources. Previous studies lack in energy consumption and time management while keeping the Virtual Machine at the different server in turned on state. AIM AND OBJECTIVE: The main aim of this research work is to propose an effective resource allocation scheme for allocating the Virtual Machine from an ad hoc sub server with Virtual Machines. EXECUTION MODEL: The execution of the research has been carried out into two sections, initially, the location of Virtual Machines and Physical Machine with the server has been taken place and subsequently, the cross-validation of allocation is addressed. For the sorting of Virtual Machines, Modified Best Fit Decreasing algorithm is used and Multi-Machine Job Scheduling is used while the placement process of jobs to an appropriate host. Artificial Neural Network as a classifier, has allocated jobs to the hosts. Measures, viz. Service Level Agreement violation and energy consumption are considered and fruitful results have been obtained with a 37.7 of reduction in energy consumption and 15% improvement in Service Level Agreement violation.

scholarly journals Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

2021 ◽  
Vol 18 (3) ◽  
pp. 1327
Author(s):  
Leonardo J. Gutierrez ◽  
Kashif Rabbani ◽  
Oluwashina Joseph Ajayi ◽  
Samson Kahsay Gebresilassie ◽  
Joseph Rafferty ◽  
...  
Keyword(s):  
Mental Health ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Identity Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Self Organization ◽  
Future Research ◽  
Study Results ◽  
Open Issues

The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early. This paper comprehensively survey works done at the intersection between IoT and mental health disorders. We evaluate multiple computational platforms, methods and devices, as well as study results and potential open issues for the effective use of IoT systems in mental health. We particularly elaborate on relevant open challenges in the use of existing IoT solutions for mental health care, which can be relevant given the potential impairments in some mental health patients such as data acquisition issues, lack of self-organization of devices and service level agreement, and security, privacy and consent issues, among others. We aim at opening the conversation for future research in this rather emerging area by outlining possible new paths based on the results and conclusions of this work.

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