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WHILE CLOUD MARKETS PROMISE UNLIMITED RESOURCE SUPPLIES, INDIVIDUAL PROVIDERS MIGHT BE UNABLE TO OFFER SUFFICIENT PHYSICAL CAPACITY TO SERVE LARGE CUSTOMERS. A SOLUTION IS TO FORM CLOUD COLLABORATIONS, IN WHICH MULTIPLE CLOUD PROVIDERS UNITE FORCES IN ORDER TO CONJOINTLY OFFER CAPACITIES WITHIN CLOUD MARKETS. QUALITY OF SERVICE (QOS) AND SECURITY ASPECTS ARE THE PRIMARY CONSIDERATIONS IN BUILDING SUCH COLLABORATIONS. THIS RESEARCH REPORT PRESENTS A CORRESPONDING OPTIMIZATION APPROACH FOR THE SELECTION OF COLLABORATIVE CLOUD PROVIDERS UNDER CONSIDERATION OF FULFILLMENT OF CLOUD USERS’ QOS AND SECURITY REQUIREMENTS.
OVER THE LAST DECADE, IT PROVISIONING VIA CLOUDS HAS BECOME A COMMON PRACTICE. MEANWHILE, COMPLEX SOFTWARE SERVICES WITH STRINGENT QUALITY OF SERVICE (QOS) REQUIREMENTS ARE DELIVERED BY CLOUD PROVIDERS OVER THE INTERNET. TO ACHIEVE A COST-EFFICIENT AND QOS-AWARE SERVICE PROVISIONING, THE SELECTION OF APPROPRIATE CLOUD RESOURCES IS A HIGHLY IMPORTANT TASK. IN THIS REPORT, WE OFFER CONCEPTS AND TOOLS TO SERVICE PROVIDERS FOR AN ACCELERATED RESOURCE SELECTION IN LARGE ENVIRONMENTS.
IN COMPARISON TO TRADITIONAL IT PARADIGMS, CLOUD COMPUTING ENABLES TO OBTAIN DESIRED COMPUTING RESOURCES ON-DEMAND WITHOUT REQUIRING LARGE, UPFRONT INVESTMENTS AND TO DYNAMICALLY ADAPT AND SCALE THESE RESOURCES TO VARYING BUSINESS REQUIREMENTS. HOWEVER, CLOUD COMPUTING IS NOT A PANACEA. THIS DRIVES THE NEED TO EXAMINE THE SPECIFIC REASONS AND REQUIREMENTS FOR CLOUD ADOPTION IN PRACTICE. HERE, WE FOLLOW AN ANALYTICAL APPROACH TO EXAMINE CLOUD ADOPTION BY CONDUCTING A LITERATURE SURVEY AND AN EMPIRICAL STUDY.
CLOUDS ARE INCREASINGLY BEING USED FOR THE DELIVERY OF COMPLEX SOFTWARE SERVICES WITH STRINGENT QUALITY OF SERVICE (QOS) DEMANDS. IN ORDER TO ACHIEVE COST-EFFICIENT PROVISION THROUGH THE UNDERLYING INFRASTRUCTURE, A SUITABLE SELECTION OF CLOUD DATA CENTERS IS REQUIRED. THIS REPORT PRESENTS A CORRESPONDING OPTIMIZATION APPROACH, WHICH IS SUITABLE FOR BOTH PRIVATE AND PUBLIC CLOUD SETTINGS.
TODAY’S CLOUD CONSUMERS HAVE VERY LIMITED MEANS FOR VERIFYING THE COMPLIANCE TO PRIOR NEGOTIATED SLAS INDEPENDENTLY FROM A CLOUD PROVIDER. IN ORDER TO OBTAIN RELIABLE MEANS FOR SERVICE MONITORING, WE PROPOSE AN INTERMEDIARY-BASED SOLUTION IN CONJUNCTION WITH DIFFERENT STRATEGIES FOR ROBUST CLOUD MONITOR PLACEMENT.
THE RECENT EVOLUTION OF SMART CONTRACTS AND THEIR FAST ADOPTION ALLOW TO RETHINK PROCESSES AND TO CHALLENGE TRADITIONAL STRUCTURES. THEREFORE, WE INTRODUCE THE UNDERLYING TECHNOLOGY AND RECENT IMPROVEMENTS. FURTHER, WE PROVIDE AN OVERVIEW OF HOW THE INSURANCE SECTOR MAY BE AFFECTED BY BLOCKCHAIN TECHNOLOGY AND SMART CONTRACTS. WE SHOW AN EXEMPLARY USE CASE AND EMPHASIZE CURRENT CHALLENGES AND LIMITATIONS IN THIS AREA.
THE BLOCKCHAIN TECHNOLOGY ENABLES ENTITIES TO QUERY AND ALTER INFORMATION WITHOUT TRUSTING A MIDDLE PARTY WHILE PROVIDING A SECURE DATA STORAGE IN A DECENTRALIZED MANNER. WE FOCUS ON AN IT DATA SUPPLY CHAIN SCENARIO WHERE MULTIPLE ACTORS NEGOTIATE A TENANCY AGREEMENT FOR VIRTUALIZED NETWORK RESOURCES. WE PRESENT OUR APPROACH, A BROKERLESS BLOCKCHAIN-BASED SYSTEM THAT USES SMART CONTRACTS AND A VIRTUAL NETWORK PARTITIONING ALGORITHM. WITH THIS APPROACH WE CAN OVERCOME THE INFORMATION DISCLOSER PROBLEM IN THIS SCENARIO.
THE GROWING DEMAND FOR DIFFERENTIATED QUALITY OF SERVICE REQUIREMENTS OF VARIOUS MOBILE APPLICATIONS ESTABLISHES THE NEED FOR ELASTIC CLOUDLET RE SOURCE ALLOCATIONS. HERE, WE CONSIDER THE DYNAMIC OPTIMIZATION OF RESOURCE ALLOCATIONS IN REMOTE, AS WELL AS EDGE CLOUD INFRASTRUCTURES. WE CONSIDER TIME VARYING APPLICATION DEMANDS AND OPTIMIZE THE CLOUDLET RESOURCE ALLOCATION OVER A FINITE TIME HORIZON SHOWING THAT THE CORRESPONDING COMPUTATIONAL EFFORT IS REDUCED BY THREE ORDERS OF MAGNITUDE.
Purpose: In secondary progressive Multiple Sclerosis (SPMS), global neurodegeneration as a driver of disability gains importance in comparison to focal inflammatory processes. However, clinical MRI does not visualize changes of tissue composition outside MS lesions. This quantitative MRI (qMRI) study investigated cortical and deep gray matter (GM) proton density (PD) values and T1 relaxation times to explore their potential to assess neuronal damage and its relationship to clinical disability in SPMS.
Materials and Methods: 11 SPMS patients underwent quantitative T1 and PD mapping. Parameter values across the cerebral cortex and deep GM structures were compared with 11 healthy controls, and correlation with disability was investigated for regions exhibiting significant group differences.
Results: PD was increased in the whole GM, cerebral cortex, thalamus, putamen and pallidum. PD correlated with disability in the whole GM, cerebral cortex, putamen and pallidum. T1 relaxation time was prolonged and correlated with disability in the whole GM and cerebral cortex.
Conclusion: Our study suggests that the qMRI parameters GM PD (which likely indicates replacement of neural tissue with water) and cortical T1 (which reflects cortical damage including and beyond increased water content) are promising qMRI candidates for the assessment of disease status, and are related to disability in SPMS.